diff options
Diffstat (limited to 'VNFs/DPPD-PROX/helper-scripts/rapid/prox_ctrl.py')
| -rw-r--r-- | VNFs/DPPD-PROX/helper-scripts/rapid/prox_ctrl.py | 42 |
1 files changed, 41 insertions, 1 deletions
diff --git a/VNFs/DPPD-PROX/helper-scripts/rapid/prox_ctrl.py b/VNFs/DPPD-PROX/helper-scripts/rapid/prox_ctrl.py index 2e58a617..ba21913c 100644 --- a/VNFs/DPPD-PROX/helper-scripts/rapid/prox_ctrl.py +++ b/VNFs/DPPD-PROX/helper-scripts/rapid/prox_ctrl.py @@ -184,6 +184,46 @@ class prox_sock(object): min_lat = 999999999 max_lat = avg_lat = 0 number_tasks_returning_stats = 0 + buckets = [0] * 128 + self._send('lat all stats %s %s' % (','.join(map(str, cores)), ','.join(map(str, tasks)))) + for core in cores: + for task in tasks: + stats = self._recv().split(',') + if 'is not measuring' in stats[0]: + continue + if stats[0].startswith('error'): + log.critical("lat stats error: unexpected reply from PROX (potential incompatibility between scripts and PROX)") + raise Exception("lat stats error") + number_tasks_returning_stats += 1 + min_lat = min(int(stats[0]),min_lat) + max_lat = max(int(stats[1]),max_lat) + avg_lat += int(stats[2]) + #min_since begin = int(stats[3]) + #max_since_begin = int(stats[4]) + tsc = int(stats[5]) # Taking the last tsc as the timestamp since PROX will return the same tsc for each core/task combination + hz = int(stats[6]) + #coreid = int(stats[7]) + #taskid = int(stats[8]) + stats = self._recv().split(':') + if stats[0].startswith('error'): + log.critical("lat stats error: unexpected lat bucket reply (potential incompatibility between scripts and PROX)") + raise Exception("lat bucket reply error") + buckets[0] = int(stats[1]) + for i in range(1, 128): + stats = self._recv().split(':') + buckets[i] = int(stats[1]) + avg_lat = avg_lat/number_tasks_returning_stats + self._send('stats latency(0).used') + used = float(self._recv()) + self._send('stats latency(0).total') + total = float(self._recv()) + return min_lat, max_lat, avg_lat, (used/total), tsc, hz, buckets + + def old_lat_stats(self, cores, tasks=[0]): + min_lat = 999999999 + max_lat = avg_lat = 0 + number_tasks_returning_stats = 0 + buckets = [0] * 128 self._send('lat stats %s %s' % (','.join(map(str, cores)), ','.join(map(str, tasks)))) for core in cores: for task in tasks: @@ -208,7 +248,7 @@ class prox_sock(object): used = float(self._recv()) self._send('stats latency(0).total') total = float(self._recv()) - return min_lat, max_lat, avg_lat, (used/total), tsc, hz + return min_lat, max_lat, avg_lat, (used/total), tsc, hz, buckets def irq_stats(self, core, bucket, task=0): self._send('stats task.core(%s).task(%s).irq(%s)' % (core, task, bucket)) |