The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 06, 2016

Filed:

Dec. 31, 2013
Applicant:

Google Inc., Mountain View, CA (US);

Inventor:

Patrick Randolph Eaton, Arlington, MA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); G06K 9/62 (2006.01); H04L 12/915 (2013.01); H04L 12/26 (2006.01); G06F 9/50 (2006.01); G06F 11/36 (2006.01); G06F 11/34 (2006.01); H04L 29/06 (2006.01); H04L 12/24 (2006.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6219 (2013.01); G06F 9/5027 (2013.01); G06F 9/5072 (2013.01); H04L 43/04 (2013.01); H04L 43/06 (2013.01); H04L 43/0817 (2013.01); H04L 43/16 (2013.01); H04L 47/785 (2013.01); G06F 11/3409 (2013.01); G06F 11/3447 (2013.01); G06F 11/366 (2013.01); G06F 2209/501 (2013.01); H04L 41/069 (2013.01); H04L 41/0677 (2013.01); H04L 41/0893 (2013.01); H04L 41/12 (2013.01); H04L 41/142 (2013.01); H04L 41/18 (2013.01); H04L 41/5096 (2013.01); H04L 43/12 (2013.01); H04L 63/1425 (2013.01); H04L 67/10 (2013.01);
Abstract

The present disclosure is directed to a system for monitoring and analyzing operation of a widely distributed service operated by an Infrastructure-as-a-Service (IaaS) tenant but deployed on a set of virtual resources controlled by an independent IaaS provider. The set of virtual resources can be organized into clusters in which resources are expected to behave similarly to each other. Virtual resources that do not behave similar to peer resources in the same cluster, i.e., outliers, may be indicative of problems that need to be addressed. The monitoring system can collect performance metric data from virtual resources, and compare the performance of each virtual resource in a cluster with the performance of every other virtual resource in the cluster to detect outliers. This comparison can involve correlation analysis, ANOVA analysis, or regression analysis.


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