...
- Holmes project provides alarm correlation and analysis for Telecom cloud infrastructure and services, including hosthosts, vimvims, vnfVNFs and nsNSs. HomelsHolmes aims to find the reason which cause the fail or degradation of services by digging into the ocean of events collected from different levels of Telecom cloud.
| Info |
|---|
Both Holmes and Policy adopt Drools as the rules engine. The main difference between these two projects is that Holmes is mainly aimed to accomplish correlation analysis of alarms while Policy is intended for policy-making. With the help of Holmes, a lot of alarms can be reduced so that downstream systems could focus on the innermost problem only. For example, if there are 3 events A, B and C which could lead to a power down fault, and B and C are caused by A. Without Holmes, all of these 3 events will be sent to Policy and 3 corresponding actions are going to be triggered. After we add Holmes to the close loop controller and make it the upstream system of Policy, only Event A will be sent to Policy and thus only one action will be triggered, which makes the close loop control more precise and efficient. |
Scope:
Alarm Correlation Rule Management
- Holmes provides basic rule management functionalities which allow users to design, create or modify rules via a rule designer.
Collect Alarms from Different Alarm Sources
- Holmes supports different kinds of alarm sources, including NFV, SDN and any other legacy systems (as long as the corresponding interfaces of the source system are exposed).
- Alarm Analysis
- Holmes can pick out the root cause from the ocean of alarms with the assistance of the topology information provided by other related systems.
- Persistence of the Results of Data Analyses
- All analytic results are written to DB for persistence.
- Holmes provides the functionality for users to view the statistical result of data analysis.
- Publish the Analytic Results to Subscribers
- Besides result persistence, Holmes publishes the analytic results to a specific topic. Any potential users can subscribe to the topic to get the results in real time.
Both Holmes and Policy adopt Drools as the rules engine. The main difference between these two projects is that Holmes is mainly aimed to accomplish correlation analysis of alarms while Policy is intended for policy-making. With the help of Holmes, a lot of alarms can be reduced so that downstream systems could focus on the innermost problem only.
...
Architecture Alignment:
...