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:
Nov. 17, 2020

Filed:

Mar. 30, 2018
Applicant:

Electronic Arts Inc., Redwood City, CA (US);

Inventors:

Yu Jin, Fremont, CA (US);

Sundeep Narravula, Saratoga, CA (US);

Navid Aghdaie, San Jose, CA (US);

Kazi Atif-Uz Zaman, Foster City, CA (US);

Preethi Ganeshan, San Carlos, CA (US);

Tushar Agarwal, San Carlos, CA (US);

Cong Feng, San Jose, CA (US);

Drew John Zagieboylo, Ithaca, NY (US);

Assignee:

Electronic Arts Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/911 (2013.01); H04L 12/24 (2006.01); H04L 29/08 (2006.01); G06F 9/50 (2006.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
H04L 47/70 (2013.01); G06F 9/5005 (2013.01); G06F 9/5072 (2013.01); G06F 9/5077 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); H04L 41/12 (2013.01); H04L 67/10 (2013.01);
Abstract

A system can manage distribution of computing jobs among a plurality of third-party network or cloud computing providers to maximize utilization of available computing resources purchased or otherwise obtained by an entity. The system can determine a dependency relationship between jobs and distribute the jobs among the network computing providers based at least in part on the dependency relationship between the jobs. Moreover, the system can use machine learning algorithms to generate one or more prediction algorithms to predict future computing resource usage demands for performing a set of scheduled and unscheduled jobs. Based at least in part on the resource prediction, the dependency relationship between jobs, service level agreements with network computing service providers, and job resource requirements, the system can determine an improved or optimal distribution of jobs among the network computing service providers that satisfies or best satisfies one or more objective functions to maximize resource utilization.


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