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. 28, 2017

Filed:

Apr. 25, 2014
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Nicholas C. Fuller, North Hills, NY (US);

Min Li, San Jose, CA (US);

Shicong Meng, Elmsford, NY (US);

Jian Tan, Wappingers Falls, NY (US);

Liangzhao Zeng, Yorktown Heights, NY (US);

Li Zhang, Yorktown Heights, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/06 (2006.01); G06F 9/48 (2006.01);
U.S. Cl.
CPC ...
G06F 3/0604 (2013.01); G06F 3/0631 (2013.01); G06F 3/0673 (2013.01); G06F 9/4881 (2013.01);
Abstract

Methods, systems, and computer program products for dynamic tuning of memory in MapReduce systems are provided herein. A method includes analyzing (i) memory usage of a first sub-set of multiple tasks associated with a MapReduce job and (ii) an amount of data utilized across the first sub-set of the multiple tasks; determining a memory size to be allocated to the first sub-set of the multiple tasks based on said analyzing, wherein said memory size minimizes a cost function related to said memory usage and said amount of data utilized; performing a task-wise performance comparison among a second sub-set of the multiple tasks associated with the MapReduce job using the determined memory size to be allocated to the first sub-set of the multiple tasks to generate a set of memory allocation results; and dynamically applying the set of memory allocation results to one or more additional tasks associated with the MapReduce job.


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