Modify the doc file namecolorado.1.0stable/colorado

JIRA: PREDICTION-68

Change-Id: I1306f5406d846e9de7138f49c75285ad7e0d7287
Signed-off-by: hailiu <hai.liu@huawei.com>
(cherry picked from commit fe63fc64c7a2b418875eafc271ed47c3155f2f3d)

1 files changed, 23 insertions, 0 deletions

diff --git a/docs/design/Section_1_Use_cases_and_scenarios.rst b/docs/design/Section_1_Use_cases_and_scenarios.rst
new file mode 100644
index 0000000..86ca3c4
--- /dev/null
+++ b/docs/design/Section_1_Use_cases_and_scenarios.rst
@@ -0,0 +1,23 @@
+=========================
+1 Use cases and scenarios
+=========================
+
+Telecom services often have high available requirements. Failure prediction is one of the importance features
+for high available requirements. Operator can handle faults in advance based on failure prediction.
+This project focuses on data collection of failure prediction.
+
+The data collector consists of Ceilometer and Monasca which can be extended to plugin some other open source data collectors,
+e.g. Zabbix, Nagios, Cacti. Based on real-time analytics techniques and machine learning techniques,
+the failure predictor analyses the data gathered by the data collector to automatically determine whether a failure will happen.
+If a failure is judged, then the failure predictor sends failure notifications to the failure
+management module (e.g. the Doctor module), which could handle these notifications.
+
+Use case 1
+==========
+
+Based on infrastructure metrics, it is possible to predict failure of infrastructure, e.g. Nova, Neutron, MQ.
+
+Use case 2
+==========
+
+Based on metrics of infrastructure and VM inside, it is possible to predict failure of VNF.