×

Scalable distributed in-memory computation

  • US 10,656,861 B1
  • Filed: 04/12/2017
  • Issued: 05/19/2020
  • Est. Priority Date: 12/29/2015
  • Status: Active Grant
First Claim
Patent Images

1. A method comprising:

  • distributing 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

    aggregating results of the distributed in-memory computations for delivery to a requesting client device, wherein the results of the distributed in-memory computations are generated in respective ones of the at least first and second nodes in a decentralized and privacy-preserving manner;

    wherein the data processing clusters are associated with respective distinct data zones, the first and second nodes of the respective distinct data processing clusters being 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;

    wherein the aggregating comprises processing local results received from respective ones of the at least first and second nodes of the data processing clusters to generate a global result as a function of the local results; and

    wherein the method is performed by at least one processing device comprising a processor coupled to a memory.

View all claims
  • 7 Assignments
Timeline View
Assignment View
    ×
    ×