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US Patent 7225250 Method and system for predictive enterprise resource management

Patent 7225250 was granted and assigned to Agilent Technologies on May, 2007 by the United States Patent and Trademark Office.

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Current Assignee
Agilent Technologies
Agilent Technologies
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7225250
Patent Inventor Names
Thomas C. Harrop0
Date of Patent
May 29, 2007
Patent Application Number
09702160
Date Filed
October 30, 2000
Patent Primary Examiner
David Wiley
David Wiley
Patent abstract

A system and method are disclosed which predict whether a performance problem within a network is likely to be encountered during future operation. Furthermore, a preferred embodiment not only predicts the likelihood of a performance problem, but further determines the appropriate preventative measures to be taken in an attempt to prevent a predicted performance problem from occurring. In a preferred embodiment, a management system (MS) that oversees the operation of a network is implemented to predict likely performance problems within the network, and may determine appropriate preventative measures for preventing predicted performance problems within the network. Polling gateway(s) may be utilized to periodically poll the network resources in order to retrieve status information for such resources, including but not limited to status of disk(s), database(s), memory, CPU(s), and operating system(s) within the network. The gathered status information is then evaluated by the MS by, for example, correlating such status information with known performance rules for the network to predict potential performance problems, and based on such evaluation, the MS may predict whether a future performance problem is likely to be encountered. Once a future performance problem has been predicted, the MS determines an appropriate preventive action for preventing the performance problem from occurring, and the MS may initiate the appropriate preventive action before the occurrence of the predicted performance problem in an attempt to prevent such performance problem. Most preferably, the network management system is implemented to “learn” symptoms of performance problems over time.

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