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:
May. 19, 2020

Filed:

Apr. 12, 2017
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Patricia Gomes Soares Florissi, Briarcliff Manor, NY (US);

Ofri Masad, Beer-Sheva, IL;

Sudhir Vijendra, Westborough, MA (US);

Ido Singer, Nes-Ziona, IL;

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); G06F 3/06 (2006.01);
U.S. Cl.
CPC ...
G06F 3/0643 (2013.01); G06F 3/0604 (2013.01); G06F 3/067 (2013.01);
Abstract

An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory. The processing device is configured to distribute in-memory computations across at least first and second nodes of respective distinct data processing clusters of a plurality of data processing clusters over at least one network, and to aggregate results of the distributed in-memory computations for delivery to a requesting client device. The data processing clusters are associated with respective distinct data zones, and the first and second nodes of the respective distinct data processing clusters are configured to perform corresponding portions of the distributed in-memory computations utilizing respective ones of first and second in-memory datasets locally accessible within their respective data zones. The in-memory computations in some embodiments illustratively comprise Spark computations, such as Spark Core batch computations. The in-memory datasets in such an arrangement may comprise respective Spark resilient distributed datasets.


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