APPLICATION OF NEURAL NETS TO DETERMINETHE PROBABILITY OF AN EVENT BEING CAUSAL
First Claim
1. An event clustering system, comprising:
- an extraction engine in communication with a managed infrastructure;
a signalizer engine that includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine, the signalizer engine determining one or more common characteristics or features from events, the signalizer engine using the common features of events to produce clusters of events relating to the failure or errors in the managed infrastructure, where membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information;
wherein the system is configured to group two or more situations, where a situation is a collection of one or more events or alerts representative of a problem in the managed infrastructure.
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Abstract
An event clustering system has an extraction engine in communication with a managed infrastructure. A signalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The signalizer engine determines one or more common characteristics or features from events, the signalizer engine using the common features of events to produce clusters of events relating to the failure or errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. The system is configured to group two or more situations, where a situation is a collection of one or more events or alerts representative of a problem in the managed infrastructure.
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Citations
25 Claims
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1. An event clustering system, comprising:
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an extraction engine in communication with a managed infrastructure; a signalizer engine that includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine, the signalizer engine determining one or more common characteristics or features from events, the signalizer engine using the common features of events to produce clusters of events relating to the failure or errors in the managed infrastructure, where membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information; wherein the system is configured to group two or more situations, where a situation is a collection of one or more events or alerts representative of a problem in the managed infrastructure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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Specification