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US Patent 11805005 Systems and methods for predictive assurance

Patent 11805005 was granted and assigned to Hewlett Packard Enterprise on October, 2023 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Hewlett Packard Enterprise
Hewlett Packard Enterprise
Current Assignee
Hewlett Packard Enterprise
Hewlett Packard Enterprise
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11805005
Patent Inventor Names
Biswadeb Dutta
Ra{dot over (u)}l De Diego Merino
Date of Patent
October 31, 2023
Patent Application Number
18051620
Date Filed
November 1, 2022
Patent Citations
‌
US Patent 10361802 Adaptive pattern recognition based control system and method
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US Patent 9495234 Detecting anomalous behavior by determining correlations
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US Patent 10069694 System, method, and computer program for automatically certifying a virtual network function (VNF) for use in a network function virtualization (NFV) based communication network
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US Patent 10096030 Apparatus, computer program, and method for generating a problem ticket with a link to a cloned environment
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US Patent 10178067 Data center portal applications monitoring
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US Patent 10326848 Method for modeling user behavior in IP networks
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US Patent 11086760 Delta state tracking for event stream analysis
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US Patent 11163722 Methods and apparatus for analyzing a live stream of log entries to detect patterns
...
Patent Primary Examiner
‌
Melvin H Pollack
CPC Code
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G06N 3/049
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H04L 41/065
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H04L 41/064
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H04L 41/0677
Patent abstract

Systems and methods are provided for predicting system or network failures, such as a degradation in the services provided by a service provider system or network, a system or network outage, etc. In a discovery phase, failure scenarios that can be accurately predicted based on monitored system events are identified. In an operationalization phase, those failure scenarios can be used to design production run-time machines that can be used to predict, in real-time, a future failure scenario. An early warning signal(s) can be sent in advance of the failure scenario occurring.

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