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author | MatthewLi <matthew.lijun@huawei.com> | 2016-02-25 02:05:57 -0500 |
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committer | Hai Liu <hai.liu@huawei.com> | 2016-02-25 07:24:07 +0000 |
commit | 084e3996375e1bb29752b2903009463b273b80c4 (patch) | |
tree | 6b4666cf62d798bb17b60034a88952afe1525542 /docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst | |
parent | 2146927ccbcf5ae03d69b0463b5b1c17a6183925 (diff) |
rewrite document format to satisfy sphinxbrahmaputra.1.0stable/brahmaputra
JIRA: PREDICTION-16
Change-Id: I46eef324425ad1058125669e54ac6c9a4b3f8f2e
Signed-off-by: MatthewLi <matthew.lijun@huawei.com>
(cherry picked from commit a4669a5eff3b0866f9f15346a5a0d4d81af409d7)
Diffstat (limited to 'docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst')
-rw-r--r-- | docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst b/docs/prediction_docs/Section_1_Use_cases_and_scenarios.rst new file mode 100644 index 0000000..86ca3c4 --- /dev/null +++ b/docs/prediction_docs/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. |