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:
Apr. 14, 2020

Filed:

Feb. 28, 2014
Applicant:

Pivotal Software, Inc., San Francisco, CA (US);

Inventors:

Yuquan Lu, Shanghai, CN;

Milind Arun Bhandarkar, San Jose, CA (US);

Wangda Tan, Shanghai, CN;

Jimmy Haijun Cao, Shanghai, CN;

Assignee:

Pivotal Software, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 9/52 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5066 (2013.01); G06F 9/5055 (2013.01); G06F 9/52 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a task centric resource scheduling framework. A scheduler executing on a master node computer of a distributed parallel computing system allocates computing resources of the parallel computing system to a program according to one or more policies associated with the program. Each policy includes a set of pre-determined computing resource constraints. Allocation of the computing resources includes performing multiple iterations of negotiation between the scheduler and a resource manager of the parallel computing system. In each iteration, a policy engine of the scheduler submits requests to get more resources from, or requests to release already acquired resources to, the resource manager. The policy engine generates the requests by balancing suggestions provided by analyzer components of the policy engine and a corresponding policy. The policy engine can then determine an allocation plan on how to allocate resources.


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