System and method for recording behavior history for abnormality detection
作者： Sandeep M. Uttamchandani , Kristal T. Pollack , Linda M. Duyanovich , Juan C. Gomez
DOI:
关键词: Computer data storage 、 Abnormality 、 Component (UML) 、 Real-time computing 、 Abnormality detection 、 Workload 、 Engineering
摘要: Disclosed is an autonomic abnormality detection device having a plurality of agents, server with one or more processors, data storage and corrective actions engine. The adapted to detect diagnose abnormalities in system components. Particularly, the uses agents track performance/workload measurements components dynamically compiles history those for each component. In order processor compares current component compiled histories that other can further be determine possible causes detected report abnormality, including causes,
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