Identifying likely faulty components in a distributed system
In general, techniques are described for automatically identifying likely faulty components in massively distributed complex systems. In some examples, snapshots of component parameters are automatically repeatedly fed to a pre-trained classifier and the classifier indicates whether each received sn...
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Main Authors | , , , , , , , |
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Format | Patent |
Language | English |
Published |
15.07.2015
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Subjects | |
Online Access | Get full text |
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Summary: | In general, techniques are described for automatically identifying likely faulty components in massively distributed complex systems. In some examples, snapshots of component parameters are automatically repeatedly fed to a pre-trained classifier and the classifier indicates whether each received snapshot is likely to belong to a fault and failure class or to a non-fault/failure class. Components whose snapshots indicate a high likelihood of fault or failure are investigated, restarted or taken off line as a pre-emptive measure. The techniques may be applied in a massively distributed complex system such as a data center. |
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Bibliography: | Application Number: CN201510152921 |