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:
Mar. 31, 2015

Filed:

Jun. 11, 2012
Applicants:

Jingren Zhou, Bellevue, WA (US);

Nicolas Bruno, Bellevue, WA (US);

Wei Lin, Issaquah, WA (US);

Inventors:

Jingren Zhou, Bellevue, WA (US);

Nicolas Bruno, Bellevue, WA (US);

Wei Lin, Issaquah, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5066 (2013.01); G06F 17/30584 (2013.01); Y10S 707/968 (2013.01);
Abstract

A repartitioning optimizer identifies alternative repartitioning strategies and selects optimal ones, accounting for network transfer utilization and partition sizes in addition to traditional metrics. If prior partitioning was hash-based, the repartitioning optimizer can determine whether a hash-based repartitioning can result in not every computing device providing data to every other computing device. If prior partitioning was range-based, the repartitioning optimizer can determine whether a range-based repartitioning can generate similarly sized output partitions while aligning input and output partition boundaries, increasing the number of computing devices that do not provide data to every other computing device. Individual computing devices, as they are performing a repartitioning, assign a repartitioning index to each individual data element, which represents the computing device to which such a data element is destined. The indexed data is sorted by such repartitioning indices, thereby grouping together all like data, and then stored in a sequential manner.


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