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US Patent 10291463 Large-scale distributed correlation

Patent 10291463 was granted and assigned to Riverbed Technology on May, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Riverbed Technology
Riverbed Technology
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Current Assignee
Riverbed Technology
Riverbed Technology
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
102914630
Patent Inventor Names
Edward A. Sykes0
Date of Patent
May 14, 2019
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Patent Application Number
149523130
Date Filed
November 25, 2015
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Patent Citations
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US Patent 10037232 Alarms with stack trace spanning logical and physical architecture
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US Patent 10084672 System and method for measuring performance and availability of applications utilizing monitoring of distributed systems processes combined with analysis of the network communication between the processes
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Patent Citations Received
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US Patent 12130699 Using an event graph schema for root cause identification and event classification in system monitoring
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US Patent 10534658 Real-time monitoring alert chaining, root cause analysis, and optimization
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US Patent 10552247 Real-time monitoring alert chaining, root cause analysis, and optimization
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US Patent 11640329 Using an event graph schema for root cause identification and event classification in system monitoring
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Patent Primary Examiner
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Thu Ha T Nguyen
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Patent abstract

Disclosed herein are system, method, and computer program product embodiments for performing distributed correlation to determine a probable cause for a performance problem detected in an application. An embodiment operates by triggering an alert for a performance metric of an application executing on a local-level node. The alert may be sent to a higher-level node. Upon receiving the alert, the higher-level node may send a distributed correlation request, used to determine a root cause of the alert, to the lower-level node. Upon receiving the distributed correlation request, the lower-level node may produce and send a correlation result to the higher-level node. Upon receiving the correlation result, the higher-level node may select the probable cause of triggering the alert based on the correlation result. The probable cause may then be presented to the user.

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