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:
Feb. 14, 2023

Filed:

Dec. 17, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Sanjay Ramanujan, Issaquah, WA (US);

Luke Rafael Rodriguez, Seattle, WA (US);

Muhammad Khizar Qazi, Seattle, WA (US);

Aleksandr Mikhailovich Gershaft, Redmond, WA (US);

Marwan Elias Jubran, Kirkland, WA (US);

Saurabh Agarwal, Redmond, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 41/0631 (2022.01); H04L 41/0654 (2022.01); H04L 41/0686 (2022.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
H04L 41/0645 (2013.01); H04L 41/064 (2013.01); H04L 41/0654 (2013.01); H04L 41/0686 (2013.01); H04L 67/10 (2013.01);
Abstract

To improve the reliability of nodes that are utilized by a cloud computing provider, information about the entire lifecycle of nodes can be collected and used to predict when nodes are likely to experience failures based at least in part on early lifecycle errors. In one aspect, a plurality of failure issues experienced by a plurality of production nodes in a cloud computing system during a pre-production phase can be identified. A subset of the plurality of failure issues can be selected based at least in part on correlation with service outages for the plurality of production nodes during a production phase. A comparison can be performed between the subset of the plurality of failure issues and a set of failure issues experienced by a pre-production node during the pre-production phase. A risk score for the pre-production node can be calculated based at least in part on the comparison.


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