Merge changes from topic 'prox-stable/fraser' into stable/fraser

* changes:
  NSB NFVi PROX BNG losing many packets
  NSB NFVi PROX VPE losing many packets
  Decrease Sampling interval
  Addition of Configurable Sampling and Configurable Confirmation Retry

25 files changed, 11008 insertions, 1283 deletions

diff --git a/dashboard/Prox_BM_vPE-4Port-1507804058631.json b/dashboard/Prox_BM_vPE-4Port-1507804058631.json
deleted file mode 100644
index 52afcaed3..000000000
--- a/dashboard/Prox_BM_vPE-4Port-1507804058631.json
+++ /dev/null
@@ -1,1163 +0,0 @@
-{
-  "__inputs": [
-    {
-      "name": "DS_YARDSTICK",
-      "label": "yardstick",
-      "description": "",
-      "type": "datasource",
-      "pluginId": "influxdb",
-      "pluginName": "InfluxDB"
-    }
-  ],
-  "__requires": [
-    {
-      "type": "grafana",
-      "id": "grafana",
-      "name": "Grafana",
-      "version": "4.4.3"
-    },
-    {
-      "type": "panel",
-      "id": "graph",
-      "name": "Graph",
-      "version": ""
-    },
-    {
-      "type": "datasource",
-      "id": "influxdb",
-      "name": "InfluxDB",
-      "version": "1.0.0"
-    },
-    {
-      "type": "panel",
-      "id": "text",
-      "name": "Text",
-      "version": ""
-    }
-  ],
-  "annotations": {
-    "list": []
-  },
-  "editable": true,
-  "gnetId": null,
-  "graphTooltip": 0,
-  "hideControls": false,
-  "id": null,
-  "links": [],
-  "refresh": false,
-  "rows": [
-    {
-      "collapse": false,
-      "height": "100px",
-      "panels": [
-        {
-          "content": "<h5 style=\"font-family:Verdana\"> <a style=\"color:#31A7D3\"><a style=\"font: 32px '#31A7D3'\"><center>OPNFV_Yardstick_NSB_PROX_BM_vPE_4Port_Test</center> </a></h5>\n<center>\n<p>The vPE handles packet processing, routing, QinQ encapsulation, flows, ACL rules, adds/removes MPLS tags and performs QoS </p>\n<p>The KPI is the number of packets per second for a specified packet size (min packet size is 68 byte) with an accepted minimal packet loss</p>\n</center>",
-          "editable": true,
-          "error": false,
-          "id": 3,
-          "links": [],
-          "mode": "html",
-          "span": 12,
-          "title": "",
-          "type": "text"
-        },
-        {
-          "content": "<h5 style=\"font-family:Verdana\"> <a style=\"color:#31A7D3\"><a style=\"font: 22px '#31A7D3'\"><center>Prox vPE VNF stats</center> </a></h5>\n",
-          "editable": true,
-          "error": false,
-          "height": "40",
-          "id": 7,
-          "links": [],
-          "mode": "html",
-          "span": 12,
-          "title": "",
-          "type": "text"
-        }
-      ],
-      "repeat": null,
-      "repeatIteration": null,
-      "repeatRowId": null,
-      "showTitle": false,
-      "title": "Row",
-      "titleSize": "h6"
-    },
-    {
-      "collapse": false,
-      "height": "300px",
-      "panels": [
-        {
-          "aliasColors": {},
-          "bars": false,
-          "dashLength": 10,
-          "dashes": false,
-          "datasource": "${DS_YARDSTICK}",
-          "editable": true,
-          "error": false,
-          "fill": 1,
-          "grid": {},
-          "height": "300",
-          "id": 4,
-          "legend": {
-            "alignAsTable": true,
-            "avg": true,
-            "current": false,
-            "max": true,
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-            "rightSide": false,
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-          "linewidth": 2,
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-          "pointradius": 1,
-          "points": false,
-          "renderer": "flot",
-          "seriesOverrides": [],
-          "spaceLength": 10,
-          "span": 12,
-          "stack": false,
-          "steppedLine": false,
-          "targets": [
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-              "alias": "VNF packets Forward",
-              "dsType": "influxdb",
-              "groupBy": [
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-                  "params": [
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-                  "type": "time"
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-                {
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-                  "type": "fill"
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-              "measurement": "tc_prox_baremetal_vpe-4",
-              "orderByTime": "ASC",
-              "policy": "default",
-              "refId": "A",
-              "resultFormat": "time_series",
-              "select": [
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-                  {
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-                      "vnf__0.packets_fwd"
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-                    "type": "field"
-                  },
-                  {
-                    "params": [],
-                    "type": "mean"
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-              ],
-              "tags": []
-            },
-            {
-              "alias": "VNF packets in",
-              "dsType": "influxdb",
-              "groupBy": [
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-              "measurement": "tc_prox_baremetal_vpe-4",
-              "orderByTime": "ASC",
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-              "refId": "C",
-              "resultFormat": "time_series",
-              "select": [
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-                      "vnf__0.packets_in"
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-            {
-              "alias": "VNF packets dropped",
-              "dsType": "influxdb",
-              "groupBy": [
-                {
-                  "params": [
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-                  "type": "time"
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-              ],
-              "measurement": "tc_prox_baremetal_vpe-4",
-              "orderByTime": "ASC",
-              "policy": "default",
-              "refId": "B",
-              "resultFormat": "time_series",
-              "select": [
-                [
-                  {
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-                      "vnf__0.packets_dropped"
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-                    "type": "field"
-                  },
-                  {
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-                    "type": "mean"
-                  }
-                ]
-              ],
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-          ],
-          "thresholds": [
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-              "fill": true,
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-              "op": "gt",
-              "value": 2
-            },
-            {
-              "colorMode": "custom",
-              "fill": true,
-              "fillColor": "rgba(234, 112, 112, 0.22)",
-              "op": "gt",
-              "value": 2
-            }
-          ],
-          "timeFrom": null,
-          "timeShift": null,
-          "title": "vPE VNF stats",
-          "tooltip": {
-            "msResolution": true,
-            "shared": true,
-            "sort": 0,
-            "value_type": "cumulative"
-          },
-          "type": "graph",
-          "xaxis": {
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-            "mode": "time",
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-            "show": true,
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-              "format": "short",
-              "label": "Packets",
-              "logBase": 1,
-              "max": null,
-              "min": null,
-              "show": true
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-              "max": null,
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-              "show": true
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-          ]
-        },
-        {
-          "content": "<h5 style=\"font-family:Verdana\"> <a style=\"color:#31A7D3\"><a style=\"font: 22px '#31A7D3'\"><center>Prox vPE Traffic Gen stats</center> </a></h5>\n",
-          "editable": true,
-          "error": false,
-          "height": "40",
-          "id": 8,
-          "links": [],
-          "mode": "html",
-          "span": 12,
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-          "type": "text"
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-      ],
-      "repeat": null,
-      "repeatIteration": null,
-      "repeatRowId": null,
-      "showTitle": false,
-      "title": "New row",
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-          "spaceLength": 10,
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-          "stack": false,
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-              "refId": "A",
-              "resultFormat": "time_series",
-              "select": [
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-                      "tg__0.xe0.out_packets"
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-                ]
-              ],
-              "tags": []
-            },
-            {
-              "alias": "TG xe-1 Out packets",
-              "dsType": "influxdb",
-              "groupBy": [
-                {
-                  "params": [
-                    "$interval"
-                  ],
-                  "type": "time"
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-              "measurement": "tc_prox_baremetal_vpe-4",
-              "orderByTime": "ASC",
-              "policy": "default",
-              "refId": "B",
-              "resultFormat": "time_series",
-              "select": [
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-                      "tg__0.xe1.out_packets"
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-              "alias": "TG xe-2 Out packets",
-              "dsType": "influxdb",
-              "groupBy": [
-                {
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-                    "$interval"
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-                  "type": "time"
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-              "orderByTime": "ASC",
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-            {
-              "alias": "TG xe-3 Out packets",
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-          "timeShift": null,
-          "title": "TG Port Stats:  Out packets",
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-                      "tg__0.RxThroughput"
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-                    "type": "field"
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-                    "type": "mean"
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-            },
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-        },
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-          "dashLength": 10,
-          "dashes": false,
-          "datasource": "${DS_YARDSTICK}",
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-          "fill": 1,
-          "grid": {},
-          "id": 5,
-          "legend": {
-            "alignAsTable": true,
-            "avg": true,
-            "current": false,
-            "max": true,
-            "min": true,
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-          "lines": true,
-          "linewidth": 2,
-          "links": [],
-          "nullPointMode": "connected",
-          "percentage": false,
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-          "points": false,
-          "renderer": "flot",
-          "seriesOverrides": [],
-          "spaceLength": 10,
-          "span": 6,
-          "stack": false,
-          "steppedLine": false,
-          "targets": [
-            {
-              "alias": "Packet Size",
-              "dsType": "influxdb",
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-                {
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-                    "$interval"
-                  ],
-                  "type": "time"
-                },
-                {
-                  "params": [
-                    "null"
-                  ],
-                  "type": "fill"
-                }
-              ],
-              "measurement": "tc_prox_baremetal_vpe-4",
-              "orderByTime": "ASC",
-              "policy": "default",
-              "refId": "A",
-              "resultFormat": "time_series",
-              "select": [
-                [
-                  {
-                    "params": [
-                      "tg__0.PktSize"
-                    ],
-                    "type": "field"
-                  },
-                  {
-                    "params": [],
-                    "type": "mean"
-                  }
-                ]
-              ],
-              "tags": []
-            }
-          ],
-          "thresholds": [
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-              "colorMode": "custom",
-              "fill": true,
-              "fillColor": "rgba(216, 200, 27, 0.27)",
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-              "fill": true,
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-            }
-          ],
-          "timeFrom": null,
-          "timeShift": null,
-          "title": "Packet size",
-          "tooltip": {
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-            "shared": true,
-            "sort": 0,
-            "value_type": "cumulative"
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-          "type": "graph",
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-            "mode": "time",
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-            "show": true,
-            "values": []
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-              "label": "Packet Size",
-              "logBase": 1,
-              "max": null,
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-              "show": true
-            },
-            {
-              "format": "short",
-              "label": null,
-              "logBase": 1,
-              "max": null,
-              "min": null,
-              "show": true
-            }
-          ]
-        }
-      ],
-      "repeat": null,
-      "repeatIteration": null,
-      "repeatRowId": null,
-      "showTitle": false,
-      "title": "New row",
-      "titleSize": "h6"
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-      "height": "250px",
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-      "repeat": null,
-      "repeatIteration": null,
-      "repeatRowId": null,
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-      "title": "New row",
-      "titleSize": "h6"
-    }
-  ],
-  "schemaVersion": 14,
-  "style": "dark",
-  "tags": [
-    "yardstick",
-    "NSB",
-    "Prox",
-    "4Port",
-    "BM",
-    "vPE"
-  ],
-  "templating": {
-    "list": []
-  },
-  "time": {
-    "from": "2017-10-09T11:05:30.701Z",
-    "to": "2017-10-09T11:11:21.952Z"
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-      "1m",
-      "5m",
-      "15m",
-      "30m",
-      "1h",
-      "2h",
-      "1d"
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-    "time_options": [
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-      "15m",
-      "1h",
-      "6h",
-      "12h",
-      "24h",
-      "2d",
-      "7d",
-      "30d"
-    ]
-  },
-  "timezone": "browser",
-  "title": "Prox_BM_vPE-4Port",
-  "version": 10
-}
\ No newline at end of file
diff --git a/dashboard/Prox_BM_vpe-4Port-1529345833067.json b/dashboard/Prox_BM_vpe-4Port-1529345833067.json
new file mode 100644
index 000000000..6ef11e4f8
--- /dev/null
+++ b/dashboard/Prox_BM_vpe-4Port-1529345833067.json
@@ -0,0 +1,10152 @@
+{
+  "__inputs": [
+    {
+      "name": "DS_YARDSTICK",
+      "label": "yardstick",
+      "description": "",
+      "type": "datasource",
+      "pluginId": "influxdb",
+      "pluginName": "InfluxDB"
+    }
+  ],
+  "__requires": [
+    {
+      "type": "grafana",
+      "id": "grafana",
+      "name": "Grafana",
+      "version": "4.4.3"
+    },
+    {
+      "type": "panel",
+      "id": "graph",
+      "name": "Graph",
+      "version": ""
+    },
+    {
+      "type": "datasource",
+      "id": "influxdb",
+      "name": "InfluxDB",
+      "version": "1.0.0"
+    },
+    {
+      "type": "panel",
+      "id": "singlestat",
+      "name": "Singlestat",
+      "version": ""
+    },
+    {
+      "type": "panel",
+      "id": "text",
+      "name": "Text",
+      "version": ""
+    }
+  ],
+  "annotations": {
+    "list": []
+  },
+  "editable": true,
+  "gnetId": null,
+  "graphTooltip": 0,
+  "hideControls": false,
+  "id": null,
+  "links": [],
+  "refresh": false,
+  "rows": [
+    {
+      "collapse": false,
+      "height": "100px",
+      "panels": [
+        {
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+          "editable": true,
+          "error": false,
+          "id": 3,
+          "links": [],
+          "mode": "html",
+          "span": 12,
+          "title": "",
+          "type": "text"
+        }
+      ],
+      "repeat": null,
+      "repeatIteration": null,
+      "repeatRowId": null,
+      "showTitle": false,
+      "title": "Row",
+      "titleSize": "h6"
+    },
+    {
+      "collapse": false,
+      "height": 362,
+      "panels": [
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+          "aliasColors": {},
+          "bars": false,
+          "dashLength": 10,
+          "dashes": false,
+          "datasource": "${DS_YARDSTICK}",
+          "decimals": 4,
+          "fill": 1,
+          "id": 123,
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+            "min": true,
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+            "values": true
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+          "linewidth": 2,
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+          "spaceLength": 10,
+          "span": 12,
+          "stack": false,
+          "steppedLine": false,
+          "targets": [
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+                  ],
+                  "type": "time"
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+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "A",
+              "resultFormat": "time_series",
+              "select": [
+                [
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+                    "params": [
+                      "vnf__0.packets_fwd"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            }
+          ],
+          "thresholds": [
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+              "colorMode": "custom",
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+              "fillColor": "rgba(216, 200, 27, 0.27)",
+              "line": true,
+              "lineColor": "rgba(0, 0, 0, 0)",
+              "op": "gt",
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+              "colorMode": "custom",
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+            }
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+          "timeFrom": null,
+          "timeShift": null,
+          "title": "Cumulative Load Sent by Generator",
+          "tooltip": {
+            "shared": true,
+            "sort": 0,
+            "value_type": "individual"
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+          "type": "graph",
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+            "mode": "time",
+            "name": null,
+            "show": true,
+            "values": []
+          },
+          "yaxes": [
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+              "format": "short",
+              "label": "Packets Per Second",
+              "logBase": 1,
+              "max": null,
+              "min": null,
+              "show": true
+            },
+            {
+              "format": "short",
+              "label": null,
+              "logBase": 1,
+              "max": null,
+              "min": null,
+              "show": true
+            }
+          ]
+        }
+      ],
+      "repeat": null,
+      "repeatIteration": null,
+      "repeatRowId": null,
+      "showTitle": false,
+      "title": "Cumulative Load Sent by Generator",
+      "titleSize": "h6"
+    },
+    {
+      "collapse": false,
+      "height": 331,
+      "panels": [
+        {
+          "content": "<h5 style=\"font-family:Verdana\"> <a style=\"color:#31A7D3\"><a style=\"font: 22px '#31A7D3'\"><center>Throughput</center> </a></h5>\n",
+          "editable": true,
+          "error": false,
+          "height": "40",
+          "id": 7,
+          "links": [],
+          "minSpan": 12,
+          "mode": "html",
+          "span": 12,
+          "title": "",
+          "type": "text"
+        },
+        {
+          "aliasColors": {},
+          "bars": false,
+          "dashLength": 10,
+          "dashes": false,
+          "datasource": "${DS_YARDSTICK}",
+          "decimals": 4,
+          "editable": true,
+          "error": false,
+          "fill": 1,
+          "grid": {},
+          "id": 2,
+          "legend": {
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+            "avg": true,
+            "current": false,
+            "max": true,
+            "min": true,
+            "show": true,
+            "total": false,
+            "values": true
+          },
+          "lines": true,
+          "linewidth": 2,
+          "links": [],
+          "nullPointMode": "connected",
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+          "pointradius": 5,
+          "points": false,
+          "renderer": "flot",
+          "seriesOverrides": [],
+          "spaceLength": 10,
+          "span": 6,
+          "stack": false,
+          "steppedLine": true,
+          "targets": [
+            {
+              "alias": "Load Requested to Generator",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
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+                  ],
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+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "A",
+              "resultFormat": "time_series",
+              "select": [
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+                    "params": [
+                      "tg__0.RequestedTxThroughput"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "Load Generated (by the Generator)",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "null"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "A",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "tg__0.TxThroughput"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "Load Received (by the Generator)",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "null"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "hide": false,
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "B",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "tg__0.RxThroughput"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            }
+          ],
+          "thresholds": [
+            {
+              "colorMode": "custom",
+              "fill": true,
+              "fillColor": "rgba(216, 200, 27, 0.27)",
+              "op": "gt",
+              "value": 0
+            },
+            {
+              "colorMode": "custom",
+              "fill": true,
+              "fillColor": "rgba(234, 112, 112, 0.22)",
+              "op": "gt",
+              "value": 0
+            }
+          ],
+          "timeFrom": null,
+          "timeShift": null,
+          "title": "Generator stats",
+          "tooltip": {
+            "msResolution": true,
+            "shared": true,
+            "sort": 0,
+            "value_type": "cumulative"
+          },
+          "transparent": false,
+          "type": "graph",
+          "xaxis": {
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+            "mode": "time",
+            "name": null,
+            "show": true,
+            "values": []
+          },
+          "yaxes": [
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+              "format": "short",
+              "label": "Million Packets Per Second",
+              "logBase": 1,
+              "max": null,
+              "min": "0",
+              "show": true
+            },
+            {
+              "format": "short",
+              "label": null,
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+              "max": null,
+              "min": null,
+              "show": false
+            }
+          ]
+        },
+        {
+          "aliasColors": {},
+          "bars": false,
+          "dashLength": 10,
+          "dashes": false,
+          "datasource": "${DS_YARDSTICK}",
+          "editable": true,
+          "error": false,
+          "fill": 1,
+          "grid": {},
+          "id": 5,
+          "legend": {
+            "alignAsTable": true,
+            "avg": true,
+            "current": false,
+            "max": true,
+            "min": true,
+            "show": true,
+            "sort": "min",
+            "sortDesc": true,
+            "total": false,
+            "values": true
+          },
+          "lines": true,
+          "linewidth": 2,
+          "links": [],
+          "nullPointMode": "connected",
+          "percentage": false,
+          "pointradius": 5,
+          "points": false,
+          "renderer": "flot",
+          "seriesOverrides": [],
+          "spaceLength": 10,
+          "span": 6,
+          "stack": false,
+          "steppedLine": true,
+          "targets": [
+            {
+              "alias": "Packet Size",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "null"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "A",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "tg__0.PktSize"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "MAX Line Rate",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "null"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "B",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "tg__0.MAX_Rate"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "MIN Line Rate",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
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+                  "params": [
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+                  ],
+                  "type": "fill"
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+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "C",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "tg__0.MIN_Rate"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "Test Rate",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "null"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "D",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "tg__0.Test_Rate"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "mean"
+                  }
+                ]
+              ],
+              "tags": []
+            }
+          ],
+          "thresholds": [
+            {
+              "colorMode": "custom",
+              "fill": true,
+              "fillColor": "rgba(216, 200, 27, 0.27)",
+              "op": "gt",
+              "value": 0
+            },
+            {
+              "colorMode": "custom",
+              "fill": true,
+              "fillColor": "rgba(234, 112, 112, 0.22)",
+              "op": "gt",
+              "value": 0
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+                      "vnf__0.collect_stats.core.cpu.2.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU  3 - RX:cpe0 - lbnetwork",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "query": "SELECT distinct(\"vnf__0.collect_stats.core.cpu.3.percent-user\") FROM \"tc_prox_baremetal_vpe-4\" WHERE $timeFilter GROUP BY time($__interval) fill(none)",
+              "rawQuery": false,
+              "refId": "D",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.3.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU  4 - RX:cpe1 - lbnetwork",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "query": "SELECT distinct(\"vnf__0.collect_stats.core.cpu.4.percent-user\") FROM \"tc_prox_baremetal_vpe-4\" WHERE $timeFilter GROUP BY time($__interval) fill(none)",
+              "rawQuery": false,
+              "refId": "E",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.4.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU  5 - TX:cpe0 - QoS",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "F",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.5.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 6 - TX:inet0",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "G",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.6.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 7 - TX:cpe1 - QoS",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "H",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.7.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 8 - TX:inet1",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "I",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.8.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 9 - Worker Downstream - qinqencapv4",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "J",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.9.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 10 - Worker Downstream - qinqencapv4",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "K",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.10.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 11 - Worker Downstream - qinqencapv4",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "L",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.11.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 12 - Worker Downstream - qinqencapv4",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "M",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.12.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 13 - Worker Upstream - acl,  police, untag and routing",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "N",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.13.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 14 - Worker Upstream - acl,  police, untag and routing",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "O",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.14.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 15 - Worker Upstream - acl,  police, untag and routing",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "P",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.15.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            },
+            {
+              "alias": "CPU 16 - Worker Upstream - acl,  police, untag and routing",
+              "dsType": "influxdb",
+              "groupBy": [
+                {
+                  "params": [
+                    "$__interval"
+                  ],
+                  "type": "time"
+                },
+                {
+                  "params": [
+                    "none"
+                  ],
+                  "type": "fill"
+                }
+              ],
+              "measurement": "tc_prox_baremetal_vpe-4",
+              "orderByTime": "ASC",
+              "policy": "default",
+              "refId": "Q",
+              "resultFormat": "time_series",
+              "select": [
+                [
+                  {
+                    "params": [
+                      "vnf__0.collect_stats.core.cpu.17.percent-user"
+                    ],
+                    "type": "field"
+                  },
+                  {
+                    "params": [],
+                    "type": "distinct"
+                  }
+                ]
+              ],
+              "tags": []
+            }
+          ],
+          "thresholds": [],
+          "timeFrom": null,
+          "timeShift": null,
+          "title": "SUT CPU Utilization",
+          "tooltip": {
+            "shared": true,
+            "sort": 0,
+            "value_type": "individual"
+          },
+          "type": "graph",
+          "xaxis": {
+            "buckets": null,
+            "mode": "time",
+            "name": null,
+            "show": true,
+            "values": []
+          },
+          "yaxes": [
+            {
+              "format": "short",
+              "label": "% Utilization",
+              "logBase": 1,
+              "max": "100",
+              "min": "0",
+              "show": true
+            },
+            {
+              "format": "short",
+              "label": null,
+              "logBase": 1,
+              "max": null,
+              "min": "0",
+              "show": true
+            }
+          ]
+        }
+      ],
+      "repeat": null,
+      "repeatIteration": null,
+      "repeatRowId": null,
+      "showTitle": false,
+      "title": "Dashboard Row",
+      "titleSize": "h6"
+    }
+  ],
+  "schemaVersion": 14,
+  "style": "dark",
+  "tags": [
+    "yardstick",
+    "NSB",
+    "Prox",
+    "vpe",
+    "4Port",
+    "BM"
+  ],
+  "templating": {
+    "list": []
+  },
+  "time": {
+    "from": "2018-06-18T16:42:35.488Z",
+    "to": "2018-06-18T17:57:41.922Z"
+  },
+  "timepicker": {
+    "refresh_intervals": [
+      "5s",
+      "10s",
+      "30s",
+      "1m",
+      "5m",
+      "15m",
+      "30m",
+      "1h",
+      "2h",
+      "1d"
+    ],
+    "time_options": [
+      "5m",
+      "15m",
+      "1h",
+      "6h",
+      "12h",
+      "24h",
+      "2d",
+      "7d",
+      "30d"
+    ]
+  },
+  "timezone": "browser",
+  "title": "Prox_BM_vpe-4Port",
+  "version": 7
+}
\ No newline at end of file
diff --git a/samples/vnf_samples/nsut/prox/configs/gen_bng-4.cfg b/samples/vnf_samples/nsut/prox/configs/gen_bng-4.cfg
index 3b9c68f3f..a70ea658b 100644
--- a/samples/vnf_samples/nsut/prox/configs/gen_bng-4.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/gen_bng-4.cfg
@@ -56,7 +56,7 @@ mode=gen
 tx port=cpe0
 bps=12500000
 ; Ethernet + QinQ + ARP-reply
-pkt inline=${sut_mac0} 70 00 00 00 00 01 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
+pkt inline=${sut_mac0} 00 00 02 00 00 02 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
 ; svlan: [0..127]
 random=000000000XXXXXXX
 rand_offset=14
@@ -71,7 +71,7 @@ mode=gen
 tx port=cpe1
 bps=12500000
 ; Ethernet + QinQ + ARP-reply
-pkt inline=${sut_mac2} 70 00 00 00 00 03 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
+pkt inline=${sut_mac2} 00 00 02 00 00 02 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
 ; svlan: [128..255]
 random=000000001XXXXXXX
 rand_offset=14
@@ -93,8 +93,8 @@ rand_offset=14
 ; cvlan: 256*[0..15]+16*[0..3]+[0..3]
 random=0000XXXX00XX00XX
 rand_offset=18
-; dst_ip: [10,11].[0..255].[0,16,32,48,64,80,96,112,128,144,160,176,192,208,224,240].[0..255]
-random=0000101XXXXXXXXXXXXX0000XXXXXXXX
+; dst_ip: [10,11].[odd 1..255].[16,48,80,112,144,176,208,240].[odd 1..255]
+random=0000101XXXXXXXX1XXX10000XXXXXXX1
 rand_offset=38
 lat pos=42
 
@@ -105,15 +105,15 @@ mode=gen
 tx port=cpe1
 bps=1069289928
 ; Ethernet + QinQ + IP + UDP
-pkt inline=${sut_mac2} 70 00 00 00 00 03 ${qinq_tag_inline} 00 01 81 00 00 01 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 00 35 00 35 00 08 7c 21
+pkt inline=${sut_mac2} 70 00 00 00 00 01 ${qinq_tag_inline} 00 01 81 00 00 01 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 00 35 00 35 00 08 7c 21
 ; svlan: [128..255]
 random=000000001XXXXXXX
 rand_offset=14
 ; cvlan: 256*[0..15]+16*[0..3]+[0..3]
 random=0000XXXX00XX00XX
 rand_offset=18
-; dst_ip: [10,11].[0..255].[0,16,32,48,64,80,96,112,128,144,160,176,192,208,224,240].[0..255]
-random=0000101XXXXXXXXXXXXX0000XXXXXXXX
+; dst_ip: [10,11].[odd 1..255].[16,48,80,112,144,176,208,240].[odd 1..255]
+random=0000101XXXXXXXX1XXX10000XXXXXXX1
 rand_offset=38
 lat pos=42
 
diff --git a/samples/vnf_samples/nsut/prox/configs/gen_bng_qos-4.cfg b/samples/vnf_samples/nsut/prox/configs/gen_bng_qos-4.cfg
index 3b9c68f3f..a70ea658b 100644
--- a/samples/vnf_samples/nsut/prox/configs/gen_bng_qos-4.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/gen_bng_qos-4.cfg
@@ -56,7 +56,7 @@ mode=gen
 tx port=cpe0
 bps=12500000
 ; Ethernet + QinQ + ARP-reply
-pkt inline=${sut_mac0} 70 00 00 00 00 01 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
+pkt inline=${sut_mac0} 00 00 02 00 00 02 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
 ; svlan: [0..127]
 random=000000000XXXXXXX
 rand_offset=14
@@ -71,7 +71,7 @@ mode=gen
 tx port=cpe1
 bps=12500000
 ; Ethernet + QinQ + ARP-reply
-pkt inline=${sut_mac2} 70 00 00 00 00 03 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
+pkt inline=${sut_mac2} 00 00 02 00 00 02 ${qinq_tag_inline} 00 01 81 00 00 01 08 06 00 01 08 00 06 04 00 02 00 1e 67 3e b8 df c0 a8 01 01 00 00 00 00 00 00 c0 a8 01 01
 ; svlan: [128..255]
 random=000000001XXXXXXX
 rand_offset=14
@@ -93,8 +93,8 @@ rand_offset=14
 ; cvlan: 256*[0..15]+16*[0..3]+[0..3]
 random=0000XXXX00XX00XX
 rand_offset=18
-; dst_ip: [10,11].[0..255].[0,16,32,48,64,80,96,112,128,144,160,176,192,208,224,240].[0..255]
-random=0000101XXXXXXXXXXXXX0000XXXXXXXX
+; dst_ip: [10,11].[odd 1..255].[16,48,80,112,144,176,208,240].[odd 1..255]
+random=0000101XXXXXXXX1XXX10000XXXXXXX1
 rand_offset=38
 lat pos=42
 
@@ -105,15 +105,15 @@ mode=gen
 tx port=cpe1
 bps=1069289928
 ; Ethernet + QinQ + IP + UDP
-pkt inline=${sut_mac2} 70 00 00 00 00 03 ${qinq_tag_inline} 00 01 81 00 00 01 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 00 35 00 35 00 08 7c 21
+pkt inline=${sut_mac2} 70 00 00 00 00 01 ${qinq_tag_inline} 00 01 81 00 00 01 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 00 35 00 35 00 08 7c 21
 ; svlan: [128..255]
 random=000000001XXXXXXX
 rand_offset=14
 ; cvlan: 256*[0..15]+16*[0..3]+[0..3]
 random=0000XXXX00XX00XX
 rand_offset=18
-; dst_ip: [10,11].[0..255].[0,16,32,48,64,80,96,112,128,144,160,176,192,208,224,240].[0..255]
-random=0000101XXXXXXXXXXXXX0000XXXXXXXX
+; dst_ip: [10,11].[odd 1..255].[16,48,80,112,144,176,208,240].[odd 1..255]
+random=0000101XXXXXXXX1XXX10000XXXXXXX1
 rand_offset=38
 lat pos=42
 
diff --git a/samples/vnf_samples/nsut/prox/configs/handle_bng-4.cfg b/samples/vnf_samples/nsut/prox/configs/handle_bng-4.cfg
index e602fac11..7d350bd91 100644
--- a/samples/vnf_samples/nsut/prox/configs/handle_bng-4.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/handle_bng-4.cfg
@@ -27,7 +27,7 @@ $core_lb_cpe0  =1
 $core_inet0    =2
 $core_lb_cpe1  =3
 $core_inet1    =4
-$core_workers  =13-14,15-16
+$core_workers  =13-14,15-16,17-18,19-20
 $core_tx_cpe0  =6
 $core_tx_cpe1  =8
 $core_tx_inet0 =9
diff --git a/samples/vnf_samples/nsut/prox/configs/handle_bng_qos-4.cfg b/samples/vnf_samples/nsut/prox/configs/handle_bng_qos-4.cfg
index e1da4cdc0..f65b7cbf9 100644
--- a/samples/vnf_samples/nsut/prox/configs/handle_bng_qos-4.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/handle_bng_qos-4.cfg
@@ -28,7 +28,7 @@ $core_lb_cpe0  =1
 $core_inet0    =2
 $core_lb_cpe1  =3
 $core_inet1    =4
-$core_workers  =13-14,15-16 ;sut_bng_qos_wk
+$core_workers  =13-14,15-16,17-18,19-20
 $core_qos_cpe0 =5
 $core_tx_cpe0  =6
 $core_qos_cpe1 =7
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng-4.yaml
index 914bace6c..1711c561a 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng-4.yaml
@@ -26,6 +26,9 @@ scenarios:
     vnf__0: vnf_0.yardstick
 
   options:
+
+    interface_speed_gbps: 10
+
     vnf__0:
       prox_path: /opt/nsb_bin/prox
       prox_config: "configs/handle_bng-4.cfg"
@@ -34,6 +37,7 @@ scenarios:
       prox_files:
         "configs/gre_table.lua" : ""
         "configs/ipv4.lua" : ""
+      prox_generate_parameter: True
 
     tg__0:
       prox_path: /opt/nsb_bin/prox
@@ -43,9 +47,12 @@ scenarios:
         "-t": ""
 
   runner:
-    type: Duration
+    type: ProxDuration
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 2900
+    confirmation: 1
+    sampled: yes
+    interval: 1
 
 context:
   type: Node
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng_qos-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng_qos-4.yaml
index 599a6e09a..a7d2d3846 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng_qos-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_bng_qos-4.yaml
@@ -26,6 +26,9 @@ scenarios:
     vnf__0: vnf_0.yardstick
 
   options:
+
+    interface_speed_gbps: 10
+
     vnf__0:
       prox_path: /opt/nsb_bin/prox
       prox_config: "configs/handle_bng_qos-4.cfg"
@@ -35,6 +38,7 @@ scenarios:
         "configs/gre_table.lua" : ""
         "configs/ipv4.lua" : ""
         "configs/dscp.lua" : ""
+      prox_generate_parameter: True
 
     tg__0:
       prox_path: /opt/nsb_bin/prox
@@ -44,9 +48,12 @@ scenarios:
         "-t": ""
 
   runner:
-    type: Duration
+    type: ProxDuration
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 2900
+    confirmation: 1
+    sampled: yes
+    interval: 1
 
 context:
   type: Node
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_l2fwd-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_l2fwd-4.yaml
index ab067a836..84edcd47d 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_l2fwd-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_l2fwd-4.yaml
@@ -42,9 +42,15 @@ scenarios:
         "-t": ""
 
   runner:
-    type: Duration
+    type: ProxDuration
+    # sampling interval
+    interval: 1
+    # sampled : yes OR sampled: no (DEFAULT yes)
+    sampled: yes
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 3100
+    # Confirmation attempts
+    confirmation: 1
 
 context:
   type: Node
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_vpe-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_vpe-4.yaml
index 16dfa1b32..7b64f21bc 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_baremetal_vpe-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_baremetal_vpe-4.yaml
@@ -47,9 +47,12 @@ scenarios:
         "-t": ""
 
   runner:
-    type: Duration
+    type: ProxDuration
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 2900
+    confirmation: 1
+    sampled: yes
+    interval: 1
 
 context:
   type: Node
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng-4.yaml
index 67ad5e278..5fed4ced3 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng-4.yaml
@@ -26,6 +26,9 @@ scenarios:
     vnf__0: vnf_0.yardstick
 
   options:
+
+    interface_speed_gbps: 10
+
     vnf__0:
       prox_path: /opt/nsb_bin/prox
       prox_config: "configs/handle_bng-4.cfg"
@@ -34,6 +37,7 @@ scenarios:
       prox_files:
         "configs/gre_table.lua" : ""
         "configs/ipv4.lua" : ""
+      prox_generate_parameter: True
 
     tg__0:
       prox_path: /opt/nsb_bin/prox
@@ -45,7 +49,7 @@ scenarios:
   runner:
     type: Duration
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 1600
 
 context:
   name: yardstick
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng_qos-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng_qos-4.yaml
index 0578bf5f7..b6d1be41a 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng_qos-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_heat_context_bng_qos-4.yaml
@@ -26,6 +26,9 @@ scenarios:
     vnf__0: vnf_0.yardstick
 
   options:
+
+    interface_speed_gbps: 10
+
     vnf__0:
       prox_path: /opt/nsb_bin/prox
       prox_config: "configs/handle_bng_qos-4.cfg"
@@ -35,6 +38,7 @@ scenarios:
         "configs/gre_table.lua" : ""
         "configs/ipv4.lua" : ""
         "configs/dscp.lua" : ""
+      prox_generate_parameter: True
 
     tg__0:
       prox_path: /opt/nsb_bin/prox
@@ -46,7 +50,7 @@ scenarios:
   runner:
     type: Duration
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 1600
 
 context:
   name: yardstick
diff --git a/samples/vnf_samples/nsut/prox/tc_prox_heat_context_vpe-4.yaml b/samples/vnf_samples/nsut/prox/tc_prox_heat_context_vpe-4.yaml
index 4e2e70bb4..60249755b 100644
--- a/samples/vnf_samples/nsut/prox/tc_prox_heat_context_vpe-4.yaml
+++ b/samples/vnf_samples/nsut/prox/tc_prox_heat_context_vpe-4.yaml
@@ -49,7 +49,7 @@ scenarios:
   runner:
     type: Duration
     # we kill after duration, independent of test duration, so set this high
-    duration: 300
+    duration: 1600
 
 context:
   name: yardstick
diff --git a/samples/vnf_samples/traffic_profiles/prox_bng.yaml b/samples/vnf_samples/traffic_profiles/prox_bng.yaml
index 59d10f0b3..6705fb1f7 100644
--- a/samples/vnf_samples/traffic_profiles/prox_bng.yaml
+++ b/samples/vnf_samples/traffic_profiles/prox_bng.yaml
@@ -19,7 +19,7 @@ description:     Prox BNG traffic profile
 
 traffic_profile:
   traffic_type: ProxBinSearchProfile
-  tolerated_loss: 100.0 #0.001
+  tolerated_loss: 5
   test_precision: 0.01
 # The minimum size of the Ethernet frame for the BNG test is 78 bytes.
   packet_sizes: [78]
diff --git a/samples/vnf_samples/traffic_profiles/prox_vpe.yaml b/samples/vnf_samples/traffic_profiles/prox_vpe.yaml
index 7aab8dd3b..c9aec0e44 100644
--- a/samples/vnf_samples/traffic_profiles/prox_vpe.yaml
+++ b/samples/vnf_samples/traffic_profiles/prox_vpe.yaml
@@ -19,11 +19,11 @@ description:     Prox vPE traffic profile
 
 traffic_profile:
   traffic_type: ProxBinSearchProfile
-  tolerated_loss: 100.0 #0.001
-  test_precision: 0.01
+  tolerated_loss: 0.001 #0.001
+  test_precision: 0.1
 # The minimum size of the Ethernet frame for the vPE test is 68 bytes.
   packet_sizes: [68]
-  duration: 5
+  duration: 60
   lower_bound: 0.0
   upper_bound: 100.0
 
diff --git a/yardstick/benchmark/runners/proxduration.py b/yardstick/benchmark/runners/proxduration.py
new file mode 100644
index 000000000..61a468fd3
--- /dev/null
+++ b/yardstick/benchmark/runners/proxduration.py
@@ -0,0 +1,165 @@
+# Copyright 2014: Mirantis Inc.
+# All Rights Reserved.
+#
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
+#
+#         http://www.apache.org/licenses/LICENSE-2.0
+#
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+# yardstick comment: this is a modified copy of
+# rally/rally/benchmark/runners/constant.py
+
+"""A runner that runs a specific time before it returns
+"""
+
+from __future__ import absolute_import
+
+import os
+import multiprocessing
+import logging
+import traceback
+import time
+
+from yardstick.benchmark.runners import base
+from yardstick.common import exceptions as y_exc
+from yardstick.common import constants
+
+LOG = logging.getLogger(__name__)
+
+def _worker_process(queue, cls, method_name, scenario_cfg,
+                    context_cfg, aborted, output_queue):
+
+    sequence = 1
+
+    runner_cfg = scenario_cfg['runner']
+
+    requested_interval = interval = runner_cfg.get("interval", 1)
+    duration = runner_cfg.get("duration", 60)
+    sampled = runner_cfg.get("sampled", False)
+
+    LOG.info("Worker START, duration is %ds", duration)
+    LOG.debug("class is %s", cls)
+
+    runner_cfg['runner_id'] = os.getpid()
+
+    benchmark = cls(scenario_cfg, context_cfg)
+    benchmark.setup()
+    method = getattr(benchmark, method_name)
+
+    sla_action = None
+    if "sla" in scenario_cfg:
+        sla_action = scenario_cfg["sla"].get("action", "assert")
+
+
+    start = time.time()
+    timeout = start + duration
+    while True:
+
+        LOG.debug("runner=%(runner)s seq=%(sequence)s START",
+                  {"runner": runner_cfg["runner_id"], "sequence": sequence})
+
+        data = {}
+        errors = ""
+
+        benchmark.pre_run_wait_time(interval)
+
+        if sampled:
+            try:
+                pre_adjustment = time.time()
+                result = method(data)
+                post_adjustment = time.time()
+                if requested_interval > post_adjustment - pre_adjustment:
+                    interval = requested_interval - (post_adjustment - pre_adjustment)
+                else:
+                    interval = 0
+
+            except y_exc.SLAValidationError as error:
+                # SLA validation failed in scenario, determine what to do now
+                if sla_action == "assert":
+                    raise
+                elif sla_action == "monitor":
+                    LOG.warning("SLA validation failed: %s", error.args)
+                    errors = error.args
+            # catch all exceptions because with multiprocessing we can have un-picklable exception
+            # problems  https://bugs.python.org/issue9400
+            except Exception:  # pylint: disable=broad-except
+                errors = traceback.format_exc()
+                LOG.exception("")
+            else:
+                if result:
+                    # add timeout for put so we don't block test
+                    # if we do timeout we don't care about dropping individual KPIs
+                    output_queue.put(result, True, constants.QUEUE_PUT_TIMEOUT)
+
+            benchmark_output = {
+                'timestamp': time.time(),
+                'sequence': sequence,
+                'data': data,
+                'errors': errors
+            }
+
+            queue.put(benchmark_output, True, constants.QUEUE_PUT_TIMEOUT)
+        else:
+            LOG.debug("No sample collected ...Sequence %s", sequence)
+
+
+        sequence += 1
+
+        if (errors and sla_action is None) or time.time() > timeout or aborted.is_set():
+            LOG.info("Worker END")
+            break
+
+    try:
+        benchmark.teardown()
+    except Exception:
+        # catch any exception in teardown and convert to simple exception
+        # never pass exceptions back to multiprocessing, because some exceptions can
+        # be unpicklable
+        # https://bugs.python.org/issue9400
+        LOG.exception("")
+        raise SystemExit(1)
+
+    LOG.debug("queue.qsize() = %s", queue.qsize())
+    LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
+    LOG.info("Exiting ProxDuration Runner...")
+
+class ProxDurationRunner(base.Runner):
+    """Run a scenario for a certain amount of time
+
+If the scenario ends before the time has elapsed, it will be started again.
+
+  Parameters
+    duration - amount of time the scenario will be run for
+        type:    int
+        unit:    seconds
+        default: 60 sec
+    interval - time to wait between each scenario invocation
+        type:    int
+        unit:    seconds
+        default: 1 sec
+    sampled - Sample data is required yes/no
+        type:    boolean
+        unit:    True/False
+        default: False
+    confirmation - Number of confirmation retries
+        type:    int
+        unit:    retry attempts
+        default: 0
+    """
+    __execution_type__ = 'ProxDuration'
+
+    def _run_benchmark(self, cls, method, scenario_cfg, context_cfg):
+        name = "{}-{}-{}".format(self.__execution_type__, scenario_cfg.get("type"), os.getpid())
+        self.process = multiprocessing.Process(
+            name=name,
+            target=_worker_process,
+            args=(self.result_queue, cls, method, scenario_cfg,
+                  context_cfg, self.aborted, self.output_queue))
+        self.process.start()
diff --git a/yardstick/common/constants.py b/yardstick/common/constants.py
index f6e4ab7e9..1ebd32509 100644
--- a/yardstick/common/constants.py
+++ b/yardstick/common/constants.py
@@ -119,6 +119,7 @@ INFLUXDB_DB_NAME = get_param('influxdb.db_name', 'yardstick')
 INFLUXDB_IMAGE = get_param('influxdb.image', 'tutum/influxdb')
 INFLUXDB_TAG = get_param('influxdb.tag', '0.13')
 INFLUXDB_DASHBOARD_PORT = 8083
+QUEUE_PUT_TIMEOUT = 10
 
 # grafana
 GRAFANA_IP = get_param('grafana.ip', SERVER_IP)
diff --git a/yardstick/network_services/traffic_profile/prox_binsearch.py b/yardstick/network_services/traffic_profile/prox_binsearch.py
index c3277fb12..23d71936b 100644
--- a/yardstick/network_services/traffic_profile/prox_binsearch.py
+++ b/yardstick/network_services/traffic_profile/prox_binsearch.py
@@ -21,6 +21,7 @@ import time
 
 from yardstick.network_services.traffic_profile.prox_profile import ProxProfile
 from yardstick.network_services import constants
+from yardstick.common import constants as overall_constants
 
 LOG = logging.getLogger(__name__)
 
@@ -84,9 +85,14 @@ class ProxBinSearchProfile(ProxProfile):
         # success, the binary search will complete on an integer multiple
         # of the precision, rather than on a fraction of it.
 
-        theor_max_thruput = 0
+        theor_max_thruput = actual_max_thruput = 0
 
         result_samples = {}
+        rate_samples = {}
+        pos_retry = 0
+        neg_retry = 0
+        total_retry = 0
+        ok_retry = 0
 
         # Store one time only value in influxdb
         single_samples = {
@@ -102,52 +108,89 @@ class ProxBinSearchProfile(ProxProfile):
         successful_pkt_loss = 0.0
         line_speed = traffic_gen.scenario_helper.all_options.get(
             "interface_speed_gbps", constants.NIC_GBPS_DEFAULT) * constants.ONE_GIGABIT_IN_BITS
-        for test_value in self.bounds_iterator(LOG):
-            result, port_samples = self._profile_helper.run_test(pkt_size, duration,
-                                                                 test_value,
-                                                                 self.tolerated_loss,
-                                                                 line_speed)
-            self.curr_time = time.time()
-            diff_time = self.curr_time - self.prev_time
-            self.prev_time = self.curr_time
-
-            if result.success:
-                LOG.debug("Success! Increasing lower bound")
-                self.current_lower = test_value
-                successful_pkt_loss = result.pkt_loss
-                samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
-                samples["TxThroughput"] = samples["TxThroughput"] * 1000 * 1000
-
-                # store results with success tag in influxdb
-                success_samples = {'Success_' + key: value for key, value in samples.items()}
-
-                success_samples["Success_rx_total"] = int(result.rx_total / diff_time)
-                success_samples["Success_tx_total"] = int(result.tx_total / diff_time)
-                success_samples["Success_can_be_lost"] = int(result.can_be_lost / diff_time)
-                success_samples["Success_drop_total"] = int(result.drop_total / diff_time)
-                self.queue.put(success_samples)
-
-                # Store Actual throughput for result samples
-                result_samples["Result_Actual_throughput"] = \
-                    success_samples["Success_RxThroughput"]
-            else:
-                LOG.debug("Failure... Decreasing upper bound")
-                self.current_upper = test_value
-                samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
-
-            for k in samples:
-                    tmp = samples[k]
-                    if isinstance(tmp, dict):
-                        for k2 in tmp:
-                            samples[k][k2] = int(samples[k][k2] / diff_time)
-
-            if theor_max_thruput < samples["TxThroughput"]:
-                theor_max_thruput = samples['TxThroughput']
-                self.queue.put({'theor_max_throughput': theor_max_thruput})
-
-            LOG.debug("Collect TG KPIs %s %s", datetime.datetime.now(), samples)
-            self.queue.put(samples)
 
+        ok_retry = traffic_gen.scenario_helper.scenario_cfg["runner"].get("confirmation", 0)
+        for test_value in self.bounds_iterator(LOG):
+            pos_retry = 0
+            neg_retry = 0
+            total_retry = 0
+
+            rate_samples["MAX_Rate"] = self.current_upper
+            rate_samples["MIN_Rate"] = self.current_lower
+            rate_samples["Test_Rate"] = test_value
+            self.queue.put(rate_samples, True, overall_constants.QUEUE_PUT_TIMEOUT)
+            LOG.info("Checking MAX %s MIN %s TEST %s",
+                self.current_upper, self.lower_bound, test_value)
+            while (pos_retry <= ok_retry) and (neg_retry <= ok_retry):
+
+                total_retry = total_retry + 1
+                result, port_samples = self._profile_helper.run_test(pkt_size, duration,
+                                                                     test_value,
+                                                                     self.tolerated_loss,
+                                                                     line_speed)
+                if (total_retry > (ok_retry * 3)) and (ok_retry is not 0):
+                    LOG.info("Failure.!! .. RETRY EXCEEDED ... decrease lower bound")
+
+                    successful_pkt_loss = result.pkt_loss
+                    samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+
+                    self.current_upper = test_value
+                    neg_retry = total_retry
+                elif result.success:
+                    if (pos_retry < ok_retry) and (ok_retry is not 0):
+                        neg_retry = 0
+                        LOG.info("Success! ... confirm retry")
+
+                        successful_pkt_loss = result.pkt_loss
+                        samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+
+                    else:
+                        LOG.info("Success! Increasing lower bound")
+                        self.current_lower = test_value
+
+                        successful_pkt_loss = result.pkt_loss
+                        samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+
+                        # store results with success tag in influxdb
+                        success_samples = \
+                            {'Success_' + key: value for key, value in samples.items()}
+
+                        success_samples["Success_rx_total"] = int(result.rx_total)
+                        success_samples["Success_tx_total"] = int(result.tx_total)
+                        success_samples["Success_can_be_lost"] = int(result.can_be_lost)
+                        success_samples["Success_drop_total"] = int(result.drop_total)
+                        success_samples["Success_RxThroughput"] = samples["RxThroughput"]
+                        LOG.info(">>>##>>Collect SUCCESS TG KPIs %s %s",
+                                 datetime.datetime.now(), success_samples)
+                        self.queue.put(success_samples, True, overall_constants.QUEUE_PUT_TIMEOUT)
+
+                        # Store Actual throughput for result samples
+                        actual_max_thruput = success_samples["Success_RxThroughput"]
+
+                    pos_retry = pos_retry + 1
+
+                else:
+                    if (neg_retry < ok_retry) and (ok_retry is not 0):
+
+                        pos_retry = 0
+                        LOG.info("failure! ... confirm retry")
+                    else:
+                        LOG.info("Failure... Decreasing upper bound")
+                        self.current_upper = test_value
+
+                    neg_retry = neg_retry + 1
+                    samples = result.get_samples(pkt_size, successful_pkt_loss, port_samples)
+
+                if theor_max_thruput < samples["TxThroughput"]:
+                    theor_max_thruput = samples['TxThroughput']
+                    self.queue.put({'theor_max_throughput': theor_max_thruput})
+
+                LOG.info(">>>##>>Collect TG KPIs %s %s", datetime.datetime.now(), samples)
+                self.queue.put(samples, True, overall_constants.QUEUE_PUT_TIMEOUT)
+
+        LOG.info(">>>##>> Result Reached PktSize %s Theor_Max_Thruput %s Actual_throughput %s",
+                 pkt_size, theor_max_thruput, actual_max_thruput)
         result_samples["Result_pktSize"] = pkt_size
-        result_samples["Result_theor_max_throughput"] = theor_max_thruput/ (1000 * 1000)
+        result_samples["Result_theor_max_throughput"] = theor_max_thruput
+        result_samples["Result_Actual_throughput"] = actual_max_thruput
         self.queue.put(result_samples)
diff --git a/yardstick/network_services/vnf_generic/vnf/prox_helpers.py b/yardstick/network_services/vnf_generic/vnf/prox_helpers.py
index 31ed30140..12ec1c8c5 100644
--- a/yardstick/network_services/vnf_generic/vnf/prox_helpers.py
+++ b/yardstick/network_services/vnf_generic/vnf/prox_helpers.py
@@ -315,7 +315,7 @@ class ProxSocketHelper(object):
 
         return ret_str
 
-    def get_data(self, pkt_dump_only=False, timeout=1):
+    def get_data(self, pkt_dump_only=False, timeout=0.01):
         """ read data from the socket """
 
         # This method behaves slightly differently depending on whether it is
@@ -520,6 +520,51 @@ class ProxSocketHelper(object):
             tsc = int(ret[3])
         return rx, tx, drop, tsc
 
+    def multi_port_stats(self, ports):
+        """get counter values from all ports port"""
+
+        ports_str = ""
+        for port in ports:
+            ports_str = ports_str + str(port) + ","
+        ports_str = ports_str[:-1]
+
+        ports_all_data = []
+        tot_result = [0] * len(ports)
+
+        retry_counter = 0
+        port_index = 0
+        while (len(ports) is not len(ports_all_data)) and (retry_counter < 10):
+            self.put_command("multi port stats {}\n".format(ports_str))
+            ports_all_data = self.get_data().split(";")
+
+            if len(ports) is len(ports_all_data):
+                for port_data_str in ports_all_data:
+
+                    try:
+                        tot_result[port_index] = [try_int(s, 0) for s in port_data_str.split(",")]
+                    except (IndexError, TypeError):
+                        LOG.error("Port Index error %d  %s - retrying ", port_index, port_data_str)
+
+                    if (len(tot_result[port_index]) is not 6) or \
+                                    tot_result[port_index][0] is not ports[port_index]:
+                        ports_all_data = []
+                        tot_result = [0] * len(ports)
+                        port_index = 0
+                        time.sleep(0.1)
+                        LOG.error("Corrupted PACKET %s - retrying", port_data_str)
+                        break
+                    else:
+                        port_index = port_index + 1
+            else:
+                LOG.error("Empty / too much data - retry -%s-", ports_all_data)
+                ports_all_data = []
+                tot_result = [0] * len(ports)
+                port_index = 0
+                time.sleep(0.1)
+
+            retry_counter = retry_counter + 1
+        return tot_result
+
     def port_stats(self, ports):
         """get counter values from a specific port"""
         tot_result = [0] * 12
@@ -1000,9 +1045,13 @@ class ProxDataHelper(object):
     @property
     def totals_and_pps(self):
         if self._totals_and_pps is None:
-            rx_total, tx_total = self.sut.port_stats(range(self.port_count))[6:8]
-            pps = self.value / 100.0 * self.line_rate_to_pps()
-            self._totals_and_pps = rx_total, tx_total, pps
+            rx_total = tx_total = 0
+            all_ports = self.sut.multi_port_stats(range(self.port_count))
+            for port in all_ports:
+                rx_total = rx_total + port[1]
+                tx_total = tx_total + port[2]
+            requested_pps = self.value / 100.0 * self.line_rate_to_pps()
+            self._totals_and_pps = rx_total, tx_total, requested_pps
         return self._totals_and_pps
 
     @property
@@ -1020,19 +1069,18 @@ class ProxDataHelper(object):
     @property
     def samples(self):
         samples = {}
+        ports = []
+        port_names = []
         for port_name, port_num in self.vnfd_helper.ports_iter():
-            try:
-                port_rx_total, port_tx_total = self.sut.port_stats([port_num])[6:8]
-                samples[port_name] = {
-                    "in_packets": port_rx_total,
-                    "out_packets": port_tx_total,
-                }
-            except (KeyError, TypeError, NameError, MemoryError, ValueError,
-                    SystemError, BufferError):
-                samples[port_name] = {
-                    "in_packets": 0,
-                    "out_packets": 0,
-                }
+            ports.append(port_num)
+            port_names.append(port_name)
+
+        results = self.sut.multi_port_stats(ports)
+        for result in results:
+            port_num = result[0]
+            samples[port_names[port_num]] = {
+                    "in_packets": result[1],
+                    "out_packets": result[2]}
         return samples
 
     def __enter__(self):
diff --git a/yardstick/network_services/vnf_generic/vnf/prox_vnf.py b/yardstick/network_services/vnf_generic/vnf/prox_vnf.py
index 285e08659..cb97f7711 100644
--- a/yardstick/network_services/vnf_generic/vnf/prox_vnf.py
+++ b/yardstick/network_services/vnf_generic/vnf/prox_vnf.py
@@ -85,14 +85,15 @@ class ProxApproxVnf(SampleVNF):
             raise RuntimeError("Failed ..Invalid no of ports .. "
                                "1, 2 or 4 ports only supported at this time")
 
-        self.port_stats = self.vnf_execute('port_stats', range(port_count))
+        all_port_stats = self.vnf_execute('multi_port_stats', range(port_count))
         curr_time = time.time()
+        rx_total = tx_total = 0
         try:
-            rx_total = self.port_stats[6]
-            tx_total = self.port_stats[7]
-        except IndexError:
-            LOG.debug("port_stats parse fail ")
-            # return empty dict so we don't mess up existing KPIs
+            for single_port_stats in all_port_stats:
+                rx_total = rx_total + single_port_stats[1]
+                tx_total = tx_total + single_port_stats[2]
+        except (TypeError, IndexError):
+            LOG.error("Invalid data ...")
             return {}
 
         result = {
@@ -103,8 +104,19 @@ class ProxApproxVnf(SampleVNF):
             # collectd KPIs here and not TG KPIs, so use a different method name
             "collect_stats": self.resource_helper.collect_collectd_kpi(),
         }
-        curr_packets_in = int((rx_total - self.prev_packets_in) / (curr_time - self.prev_time))
-        curr_packets_fwd = int((tx_total - self.prev_packets_sent) / (curr_time - self.prev_time))
+        try:
+            curr_packets_in = int((rx_total - self.prev_packets_in)
+                                / (curr_time - self.prev_time))
+        except ZeroDivisionError:
+            LOG.error("Error.... Divide by Zero")
+            curr_packets_in = 0
+
+        try:
+            curr_packets_fwd = int((tx_total - self.prev_packets_sent)
+                                / (curr_time - self.prev_time))
+        except ZeroDivisionError:
+            LOG.error("Error.... Divide by Zero")
+            curr_packets_fwd = 0
 
         result["curr_packets_in"] = curr_packets_in
         result["curr_packets_fwd"] = curr_packets_fwd
diff --git a/yardstick/tests/unit/benchmark/core/test_task.py b/yardstick/tests/unit/benchmark/core/test_task.py
index 7468368df..0424c77a3 100644
--- a/yardstick/tests/unit/benchmark/core/test_task.py
+++ b/yardstick/tests/unit/benchmark/core/test_task.py
@@ -156,6 +156,31 @@ class TaskTestCase(unittest.TestCase):
         t._run([scenario], False, "yardstick.out")
         runner.run.assert_called_once()
 
+    @mock.patch.object(task, 'Context')
+    @mock.patch.object(task, 'base_runner')
+    def test_run_ProxDuration(self, mock_base_runner, *args):
+        scenario = {
+            'host': 'athena.demo',
+            'target': 'ares.demo',
+            'runner': {
+                'duration': 60,
+                'interval': 1,
+                'sampled': 'yes',
+                'confirmation': 1,
+                'type': 'ProxDuration'
+            },
+            'type': 'Ping'
+        }
+
+        t = task.Task()
+        runner = mock.Mock()
+        runner.join.return_value = 0
+        runner.get_output.return_value = {}
+        runner.get_result.return_value = []
+        mock_base_runner.Runner.get.return_value = runner
+        t._run([scenario], False, "yardstick.out")
+        runner.run.assert_called_once()
+
     @mock.patch.object(os, 'environ')
     def test_check_precondition(self, mock_os_environ):
         cfg = {
diff --git a/yardstick/tests/unit/benchmark/runner/test_proxduration.py b/yardstick/tests/unit/benchmark/runner/test_proxduration.py
new file mode 100644
index 000000000..be1715aad
--- /dev/null
+++ b/yardstick/tests/unit/benchmark/runner/test_proxduration.py
@@ -0,0 +1,295 @@
+##############################################################################
+# Copyright (c) 2018 Nokia and others.
+#
+# All rights reserved. This program and the accompanying materials
+# are made available under the terms of the Apache License, Version 2.0
+# which accompanies this distribution, and is available at
+# http://www.apache.org/licenses/LICENSE-2.0
+##############################################################################
+
+import mock
+import unittest
+import multiprocessing
+import os
+import time
+
+from yardstick.benchmark.runners import proxduration
+from yardstick.common import exceptions as y_exc
+
+
+class ProxDurationRunnerTest(unittest.TestCase):
+    class MyMethod(object):
+        SLA_VALIDATION_ERROR_SIDE_EFFECT = 1
+        BROAD_EXCEPTION_SIDE_EFFECT = 2
+
+        def __init__(self, side_effect=0):
+            self.count = 101
+            self.side_effect = side_effect
+
+        def __call__(self, data):
+            self.count += 1
+            data['my_key'] = self.count
+            if self.side_effect == self.SLA_VALIDATION_ERROR_SIDE_EFFECT:
+                raise y_exc.SLAValidationError(case_name='My Case',
+                                               error_msg='my error message')
+            elif self.side_effect == self.BROAD_EXCEPTION_SIDE_EFFECT:
+                raise y_exc.YardstickException
+            return self.count
+
+    def setUp(self):
+        self.scenario_cfg = {
+            'runner': {'interval': 0, "duration": 0},
+            'type': 'some_type'
+        }
+
+        self.benchmark = mock.Mock()
+        self.benchmark_cls = mock.Mock(return_value=self.benchmark)
+
+    def _assert_defaults__worker_run_setup_and_teardown(self):
+        self.benchmark_cls.assert_called_once_with(self.scenario_cfg, {})
+        self.benchmark.setup.assert_called_once()
+        self.benchmark.teardown.assert_called_once()
+
+    @mock.patch.object(os, 'getpid')
+    @mock.patch.object(multiprocessing, 'Process')
+    def test__run_benchmark_called_with(self, mock_multiprocessing_process,
+                                        mock_os_getpid):
+        mock_os_getpid.return_value = 101
+
+        runner = proxduration.ProxDurationRunner({})
+        benchmark_cls = mock.Mock()
+        runner._run_benchmark(benchmark_cls, 'my_method', self.scenario_cfg,
+                              {})
+        mock_multiprocessing_process.assert_called_once_with(
+            name='ProxDuration-some_type-101',
+            target=proxduration._worker_process,
+            args=(runner.result_queue, benchmark_cls, 'my_method',
+                  self.scenario_cfg, {}, runner.aborted, runner.output_queue))
+
+    @mock.patch.object(os, 'getpid')
+    def test__worker_process_runner_id(self, mock_os_getpid):
+        mock_os_getpid.return_value = 101
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+
+        self.assertEqual(self.scenario_cfg['runner']['runner_id'], 101)
+
+    def test__worker_process_called_with_cfg(self):
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+    def test__worker_process_called_with_cfg_loop(self):
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 0.01}
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+        self.assertGreater(self.benchmark.my_method.call_count, 2)
+
+    def test__worker_process_called_without_cfg(self):
+        scenario_cfg = {'runner': {}}
+
+        aborted = multiprocessing.Event()
+        aborted.set()
+
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 scenario_cfg, {}, aborted, mock.Mock())
+
+        self.benchmark_cls.assert_called_once_with(scenario_cfg, {})
+        self.benchmark.setup.assert_called_once()
+        self.benchmark.teardown.assert_called_once()
+
+    def test__worker_process_output_queue(self):
+        self.benchmark.my_method = mock.Mock(return_value='my_result')
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        output_queue = multiprocessing.Queue()
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), output_queue)
+        time.sleep(0.1)
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+        self.assertEquals(output_queue.get(), 'my_result')
+
+    def test__worker_process_output_queue_multiple_iterations(self):
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        self.benchmark.my_method = self.MyMethod()
+
+        output_queue = multiprocessing.Queue()
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), output_queue)
+        time.sleep(0.1)
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+        self.assertGreater(self.benchmark.my_method.count, 103)
+
+        count = 101
+        while not output_queue.empty():
+            count += 1
+            self.assertEquals(output_queue.get(), count)
+
+    def test__worker_process_queue(self):
+        self.benchmark.my_method = self.MyMethod()
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        queue = multiprocessing.Queue()
+        timestamp = time.time()
+        proxduration._worker_process(queue, self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+        time.sleep(0.1)
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+        result = queue.get()
+        self.assertGreater(result['timestamp'], timestamp)
+        self.assertEqual(result['errors'], '')
+        self.assertEqual(result['data'], {'my_key': 102})
+        self.assertEqual(result['sequence'], 1)
+
+    def test__worker_process_queue_multiple_iterations(self):
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        self.benchmark.my_method = self.MyMethod()
+
+        queue = multiprocessing.Queue()
+        timestamp = time.time()
+        proxduration._worker_process(queue, self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+        time.sleep(0.1)
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+        self.assertGreater(self.benchmark.my_method.count, 103)
+
+        count = 0
+        while not queue.empty():
+            count += 1
+            result = queue.get()
+            self.assertGreater(result['timestamp'], timestamp)
+            self.assertEqual(result['errors'], '')
+            self.assertEqual(result['data'], {'my_key': count + 101})
+            self.assertEqual(result['sequence'], count)
+
+    def test__worker_process_except_sla_validation_error_no_sla_cfg(self):
+        self.benchmark.my_method = mock.Mock(
+            side_effect=y_exc.SLAValidationError)
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+    def test__worker_process_except_sla_validation_error_sla_cfg_monitor(self):
+        self.scenario_cfg['sla'] = {'action': 'monitor'}
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        self.benchmark.my_method = mock.Mock(
+            side_effect=y_exc.SLAValidationError)
+
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+    def test__worker_process_raise_sla_validation_error_sla_cfg_default(self):
+        self.scenario_cfg['sla'] = {}
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        self.benchmark.my_method = mock.Mock(
+            side_effect=y_exc.SLAValidationError)
+
+        with self.assertRaises(y_exc.SLAValidationError):
+            proxduration._worker_process(mock.Mock(), self.benchmark_cls,
+                                     'my_method', self.scenario_cfg, {},
+                                     multiprocessing.Event(), mock.Mock())
+
+        self.benchmark_cls.assert_called_once_with(self.scenario_cfg, {})
+        self.benchmark.setup.assert_called_once()
+        self.benchmark.my_method.assert_called_once_with({})
+
+    def test__worker_process_raise_sla_validation_error_sla_cfg_assert(self):
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        self.scenario_cfg['sla'] = {'action': 'assert'}
+        self.benchmark.my_method = mock.Mock(
+            side_effect=y_exc.SLAValidationError)
+
+        with self.assertRaises(y_exc.SLAValidationError):
+            proxduration._worker_process(mock.Mock(), self.benchmark_cls,
+                                     'my_method', self.scenario_cfg, {},
+                                     multiprocessing.Event(), mock.Mock())
+
+        self.benchmark_cls.assert_called_once_with(self.scenario_cfg, {})
+        self.benchmark.setup.assert_called_once()
+        self.benchmark.my_method.assert_called_once_with({})
+
+    def test__worker_process_queue_on_sla_validation_error_monitor(self):
+        self.scenario_cfg['sla'] = {'action': 'monitor'}
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        self.benchmark.my_method = self.MyMethod(
+            side_effect=self.MyMethod.SLA_VALIDATION_ERROR_SIDE_EFFECT)
+
+        queue = multiprocessing.Queue()
+        timestamp = time.time()
+        proxduration._worker_process(queue, self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+        time.sleep(0.1)
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+        result = queue.get()
+        self.assertGreater(result['timestamp'], timestamp)
+        self.assertEqual(result['errors'], ('My Case SLA validation failed. '
+                                            'Error: my error message',))
+        self.assertEqual(result['data'], {'my_key': 102})
+        self.assertEqual(result['sequence'], 1)
+
+    def test__worker_process_broad_exception(self):
+        self.benchmark.my_method = mock.Mock(
+            side_effect=y_exc.YardstickException)
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        proxduration._worker_process(mock.Mock(), self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+    def test__worker_process_queue_on_broad_exception(self):
+        self.benchmark.my_method = self.MyMethod(
+            side_effect=self.MyMethod.BROAD_EXCEPTION_SIDE_EFFECT)
+
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+        queue = multiprocessing.Queue()
+        timestamp = time.time()
+        proxduration._worker_process(queue, self.benchmark_cls, 'my_method',
+                                 self.scenario_cfg, {},
+                                 multiprocessing.Event(), mock.Mock())
+        time.sleep(0.1)
+
+        self._assert_defaults__worker_run_setup_and_teardown()
+
+        result = queue.get()
+        self.assertGreater(result['timestamp'], timestamp)
+        self.assertNotEqual(result['errors'], '')
+        self.assertEqual(result['data'], {'my_key': 102})
+        self.assertEqual(result['sequence'], 1)
+
+    def test__worker_process_benchmark_teardown_on_broad_exception(self):
+        self.benchmark.teardown = mock.Mock(
+            side_effect=y_exc.YardstickException)
+
+        self.scenario_cfg["runner"] = {"sampled": True, "duration": 1}
+
+        with self.assertRaises(SystemExit) as raised:
+            proxduration._worker_process(mock.Mock(), self.benchmark_cls,
+                                     'my_method', self.scenario_cfg, {},
+                                     multiprocessing.Event(), mock.Mock())
+        self.assertEqual(raised.exception.code, 1)
+        self._assert_defaults__worker_run_setup_and_teardown()
diff --git a/yardstick/tests/unit/network_services/traffic_profile/test_prox_binsearch.py b/yardstick/tests/unit/network_services/traffic_profile/test_prox_binsearch.py
index da550ade9..988ebe3de 100644
--- a/yardstick/tests/unit/network_services/traffic_profile/test_prox_binsearch.py
+++ b/yardstick/tests/unit/network_services/traffic_profile/test_prox_binsearch.py
@@ -51,6 +51,11 @@ class TestProxBinSearchProfile(unittest.TestCase):
         fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
 
         traffic_generator = mock.MagicMock()
+        attrs1 = {'get.return_value' : 10}
+        traffic_generator.scenario_helper.all_options.configure_mock(**attrs1)
+
+        attrs2 = {'__getitem__.return_value' : 10, 'get.return_value': 10}
+        traffic_generator.scenario_helper.scenario_cfg["runner"].configure_mock(**attrs2)
 
         profile_helper = mock.MagicMock()
         profile_helper.run_test = target
@@ -60,9 +65,10 @@ class TestProxBinSearchProfile(unittest.TestCase):
         profile._profile_helper = profile_helper
 
         profile.execute_traffic(traffic_generator)
+
         self.assertEqual(round(profile.current_lower, 2), 74.69)
         self.assertEqual(round(profile.current_upper, 2), 76.09)
-        self.assertEqual(len(runs), 7)
+        self.assertEqual(len(runs), 77)
 
         # Result Samples inc theor_max
         result_tuple = {"Result_Actual_throughput": 7.5e-07,
@@ -122,6 +128,11 @@ class TestProxBinSearchProfile(unittest.TestCase):
         fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
 
         traffic_generator = mock.MagicMock()
+        attrs1 = {'get.return_value': 10}
+        traffic_generator.scenario_helper.all_options.configure_mock(**attrs1)
+
+        attrs2 = {'__getitem__.return_value': 0, 'get.return_value': 0}
+        traffic_generator.scenario_helper.scenario_cfg["runner"].configure_mock(**attrs2)
 
         profile_helper = mock.MagicMock()
         profile_helper.run_test = target
@@ -171,7 +182,8 @@ class TestProxBinSearchProfile(unittest.TestCase):
 
 
         # Result Samples
-        result_tuple = {"Result_theor_max_throughput": 0, "Result_pktSize": 200}
+        result_tuple = {'Result_Actual_throughput': 0, "Result_theor_max_throughput": 0,
+                        "Result_pktSize": 200}
         profile.queue.put.assert_called_with(result_tuple)
 
         # Check for success_ tuple (None expected)
@@ -181,3 +193,81 @@ class TestProxBinSearchProfile(unittest.TestCase):
                 for k in call_detail:
                     if "Success_" in k:
                         self.assertRaises(AttributeError)
+
+    def test_execute_4(self):
+
+        def target(*args, **_):
+            runs.append(args[2])
+            if args[2] < 0 or args[2] > 100:
+                raise RuntimeError(' '.join([str(args), str(runs)]))
+            if args[2] > 75.0:
+                return fail_tuple, {}
+            return success_tuple, {}
+
+        tp_config = {
+            'traffic_profile': {
+                'packet_sizes': [200],
+                'test_precision': 2.0,
+                'tolerated_loss': 0.001,
+            },
+        }
+
+        runs = []
+        success_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.1, 5.2, 5.3], 995, 1000, 123.4)
+        fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
+
+        traffic_generator = mock.MagicMock()
+        attrs1 = {'get.return_value': 100000}
+        traffic_generator.scenario_helper.all_options.configure_mock(**attrs1)
+
+        attrs2 = {'__getitem__.return_value': 0, 'get.return_value': 0}
+        traffic_generator.scenario_helper.scenario_cfg["runner"].configure_mock(**attrs2)
+
+        profile_helper = mock.MagicMock()
+        profile_helper.run_test = target
+
+        profile = ProxBinSearchProfile(tp_config)
+        profile.init(mock.MagicMock())
+        profile._profile_helper = profile_helper
+
+        profile.execute_traffic(traffic_generator)
+        self.assertEqual(round(profile.current_lower, 2), 74.69)
+        self.assertEqual(round(profile.current_upper, 2), 76.09)
+        self.assertEqual(len(runs), 7)
+
+        # Result Samples inc theor_max
+        result_tuple = {'Result_Actual_throughput': 7.5e-07,
+                        'Result_theor_max_throughput': 0.00012340000000000002,
+                        'Result_pktSize': 200}
+
+        profile.queue.put.assert_called_with(result_tuple)
+
+        success_result_tuple = {"Success_CurrentDropPackets": 0.5,
+                                "Success_DropPackets": 0.5,
+                                "Success_LatencyAvg": 5.3,
+                                "Success_LatencyMax": 5.2,
+                                "Success_LatencyMin": 5.1,
+                                "Success_PktSize": 200,
+                                "Success_RxThroughput": 7.5e-07,
+                                "Success_Throughput": 7.5e-07,
+                                "Success_TxThroughput": 0.00012340000000000002}
+
+        calls = profile.queue.put(success_result_tuple)
+        profile.queue.put.assert_has_calls(calls)
+
+        success_result_tuple2 = {"Success_CurrentDropPackets": 0.5,
+                                 "Success_DropPackets": 0.5,
+                                 "Success_LatencyAvg": 5.3,
+                                 "Success_LatencyMax": 5.2,
+                                 "Success_LatencyMin": 5.1,
+                                 "Success_PktSize": 200,
+                                 "Success_RxThroughput": 7.5e-07,
+                                 "Success_Throughput": 7.5e-07,
+                                 "Success_TxThroughput": 123.4,
+                                 "Success_can_be_lost": 409600,
+                                 "Success_drop_total": 20480,
+                                 "Success_rx_total": 4075520,
+                                 "Success_tx_total": 4096000}
+
+        calls = profile.queue.put(success_result_tuple2)
+        profile.queue.put.assert_has_calls(calls)
diff --git a/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py b/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py
index 0cb11933f..b1853f12f 100644
--- a/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py
+++ b/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_helpers.py
@@ -556,6 +556,31 @@ class TestProxSocketHelper(unittest.TestCase):
         result = prox.core_stats([3, 4, 5], 16)
         self.assertEqual(result, expected)
 
+    def test_multi_port_stats(self):
+
+        mock_socket = mock.MagicMock()
+        prox = ProxSocketHelper(mock_socket)
+        prox.get_data = mock.MagicMock(return_value='0,1,2,3,4,5;1,1,2,3,4,5')
+        expected = [[0, 1, 2, 3, 4, 5], [1, 1, 2, 3, 4, 5]]
+        result = prox.multi_port_stats([0, 1])
+        self.assertEqual(result, expected)
+
+        prox.get_data = mock.MagicMock(return_value='0,1,2,3,4,5;1,1,2,3,4,5')
+        result = prox.multi_port_stats([0])
+        expected = [0]
+        self.assertEqual(result, expected)
+
+        prox.get_data = mock.MagicMock(return_value='0,1,2,3;1,1,2,3,4,5')
+        result = prox.multi_port_stats([0, 1])
+        expected = [0] * 2
+        self.assertEqual(result, expected)
+
+        prox.get_data = mock.MagicMock(return_value='99,1,2,3,4,5;1,1,2,3,4,5')
+        expected = [0] * 2
+        result = prox.multi_port_stats([0, 1])
+        self.assertEqual(result, expected)
+
+
     def test_port_stats(self):
         port_stats = [
             ','.join(str(n) for n in range(3, 15)),
@@ -1542,34 +1567,34 @@ class TestProxDataHelper(unittest.TestCase):
         vnfd_helper.port_pairs.all_ports = list(range(4))
 
         sut = mock.MagicMock()
-        sut.port_stats.return_value = list(range(10))
+        sut.multi_port_stats.return_value = [[0, 1, 2, 3, 4, 5], [1, 1, 2, 3, 4, 5],
+                                             [2, 1, 2, 3, 4, 5], [3, 1, 2, 3, 4, 5]]
 
         data_helper = ProxDataHelper(
             vnfd_helper, sut, pkt_size, 25, None,
             constants.NIC_GBPS_DEFAULT * constants.ONE_GIGABIT_IN_BITS)
 
-        self.assertEqual(data_helper.rx_total, 6)
-        self.assertEqual(data_helper.tx_total, 7)
+        self.assertEqual(data_helper.rx_total, 4)
+        self.assertEqual(data_helper.tx_total, 8)
         self.assertEqual(data_helper.pps, 6.25e6)
 
     def test_samples(self):
         vnfd_helper = mock.MagicMock()
-        vnfd_helper.port_pairs.all_ports = list(range(4))
-        vnfd_helper.ports_iter.return_value = [('xe1', 3), ('xe2', 7)]
+        vnfd_helper.ports_iter.return_value = [('xe0', 0), ('xe1', 1)]
 
         sut = mock.MagicMock()
-        sut.port_stats.return_value = list(range(10))
+        sut.multi_port_stats.return_value = [[0, 1, 2, 3, 4, 5], [1, 11, 12, 3, 4, 5]]
 
         data_helper = ProxDataHelper(vnfd_helper, sut, None, None, None, None)
 
         expected = {
-            'xe1': {
-                'in_packets': 6,
-                'out_packets': 7,
+            'xe0': {
+                'in_packets': 1,
+                'out_packets': 2,
             },
-            'xe2': {
-                'in_packets': 6,
-                'out_packets': 7,
+            'xe1': {
+                'in_packets': 11,
+                'out_packets': 12,
             },
         }
         result = data_helper.samples
diff --git a/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py b/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py
index fa2d462ab..351607fb5 100644
--- a/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py
+++ b/yardstick/tests/unit/network_services/vnf_generic/vnf/test_prox_vnf.py
@@ -339,16 +339,17 @@ class TestProxApproxVnf(unittest.TestCase):
         mock_ssh(ssh)
 
         resource_helper = mock.MagicMock()
-        resource_helper.execute.return_value = list(range(12))
+        resource_helper.execute.return_value = [[0, 1, 2, 3, 4, 5], [1, 1, 2, 3, 4, 5],
+                                                [2, 1, 2, 3, 4, 5], [3, 1, 2, 3, 4, 5]]
         resource_helper.collect_collectd_kpi.return_value = {'core': {'result': 234}}
 
         prox_approx_vnf = ProxApproxVnf(NAME, self.VNFD0)
         prox_approx_vnf.resource_helper = resource_helper
 
         expected = {
-            'packets_in': 6,
-            'packets_dropped': 1,
-            'packets_fwd': 7,
+            'packets_in': 4,
+            'packets_dropped': 4,
+            'packets_fwd': 8,
             'collect_stats': {'core': {'result': 234}},
         }
         result = prox_approx_vnf.collect_kpi()