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.

Patent No.:

US 10607155 B1

PDF
Full Text
Expired
Date of Patent:
Mar. 31, 2020

Filed:

Mar. 30, 2017
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Huanxing Shen, Shanghai, CN;

Cong Li, Shanghai, CN;

Tai Huang, Shanghai, CN;

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 29/08 (2006.01); G06N 7/00 (2006.01); G06N 5/04 (2006.01); G06F 11/30 (2006.01); G06N 5/00 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 11/30 (2013.01); G06N 5/046 (2013.01); H04L 67/04 (2013.01); H04L 67/10 (2013.01); H04L 67/12 (2013.01); H04L 67/2833 (2013.01); G06N 5/003 (2013.01); G06N 7/005 (2013.01);
Abstract

Machine learning is utilized to analyze respective execution times of a plurality of tasks in a job performed in a distributed computing system to determine that a subset of the plurality of tasks are straggler tasks in the job, where the distributed computing system includes a plurality of computing devices. A supervised machine-learning algorithm is performed using a set of inputs including performance attributes of the plurality of tasks, where the supervised machine learning algorithm uses labels generated from determination of the set of straggler tasks, the performance attributes include respective attributes of the plurality of tasks observed during performance of the job, and applying the supervised learning algorithm results in identification of a set of rules defining conditions, based on the performance attributes of the plurality of tasks, indicative of which tasks will be straggler tasks in a job. Rule data is generated to describe the set of rules.


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