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requirements_projects:data_collection_of_failure_prediction [2015/03/03 07:57] Linghui Zeng [Architecture:] |
requirements_projects:data_collection_of_failure_prediction [2015/03/03 17:17] Aric Gardner |
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- | ==== Data Collection: ==== | + | ==== Failure Prediction: ==== |
* Proposed name for the project: ''data collection for failure prediction'' | * Proposed name for the project: ''data collection for failure prediction'' | ||
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{{ :requirements_projects:collector2.png?300 |}} | {{ :requirements_projects:collector2.png?300 |}} | ||
- | 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. The predictor based on machine learning techniques analyses data collected by the data collector to automatically determine whether a failure happens. If a failure happens, then the predictor sends notifications to the failure management module (e.g. the Doctor module), which could handle these failure notifications. | + | 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. |
In OPNFV release 2, we limit the scope of this project to the data collector. | In OPNFV release 2, we limit the scope of this project to the data collector. | ||
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* ETSI NFV draft REL GS (v1.0.0, 2014-11) | * ETSI NFV draft REL GS (v1.0.0, 2014-11) | ||
* ETSI GS NFV REL004 | * ETSI GS NFV REL004 | ||
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==== Committers and Contributors: ==== | ==== Committers and Contributors: ==== | ||
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+ | * Lead ? Linghui Zeng, linghui.zeng@huawei.com | ||
Names and affiliations of the committers: | Names and affiliations of the committers: | ||
* Hai Liu, hai.liu@huawei.com | * Hai Liu, hai.liu@huawei.com | ||
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Will this align with the current release cadence | Will this align with the current release cadence | ||
* Yes | * Yes | ||
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