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A method for predictive monitoring by linear regression

IP.com Disclosure Number: IPCOM000227676D
Publication Date: 2013-May-10
Document File: 5 page(s) / 123K

Publishing Venue

The IP.com Prior Art Database

Abstract

The disclosure discloses a method for predictive monitoring by linear regression. A new indicator concept of Time-To-Recovery is introduced which is calculated by simple linear regression algorithm and applied in the step of comparision in the monitoring system to alert end user for potential risk.

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A method for predictive monitoring by linear regression

In a typical monitoring system, static thresholds are predefined for all objects in one object groups usually.

For example, 80% percent of disk usage is a warning threshold and 100% percent of disk usage is an error threshold for all disks in a physical machine.

Such kind of static threshold does not considering the recovery time for the end user after the alert is sent out with the warning threshold. If end user receives the warning alert by warning threshold for a disk while the disk usage is growing very fast and its usage percentage reaches to the error threshold before the recovery actions like adding more disk space or cleaning up disk are applied completely.

Existing predictive system or method used the rule based analysis (Patent 7103509) or fuzzy logic (Patent 7890297, 7483815 and 7286962); they did not benefit from the linear regression technology and did not considering the Time-To-Recovery as one indicator.

Prior art:

System and method for predicting component failures in large systems United States Patent 7103509 http://www.freepatentsonline.com/7103509.html

Predictive monitoring method and system
United States Patent 7890297
http://www.freepatentsonline.com/7890297.html

Predictive monitoring method and system
United States Patent 7483815
http://www.freepatentsonline.com/7483815.html

Predictive monitoring method and system
United States Patent 7286962
http://www.freepatentsonline.com/7286962.html

Use simple linear regression to predict...