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System and method for balancing a computing load among computing resources in a distributed computing problem

  • US 7,590,984 B2
  • Filed: 05/29/2003
  • Issued: 09/15/2009
  • Est. Priority Date: 05/29/2003
  • Status: Expired due to Fees
First Claim
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1. A method of balancing a computing load among a plurality of computing resources for handling an inter-connected problem in a task, comprising:

  • determining computing capabilities of a plurality of computers, wherein the computers are heterogeneous, independent, non-dedicated, and connected in a loosely coupled, asynchronous, distributed communications grid for handling the inter-connected problem;

    assigning a computing agent role to at least some of the computers for handling the inter-connected problem;

    monitoring available resources for the computers that have been assigned a computing agent role;

    reassigning original problem cells among the computers that have been assigned a computing agent role, as necessary to balance the computing load for handling the inter-connected problem;

    wherein reassigning the original problem cells among the computers includes;

    segmenting the computing load into a plurality of fixed sized collections of original program cells based on the complexity of the computing load;

    grouping the fixed sized collections of original program cells into a plurality of variable problem partitions;

    identifying computing agents having reduced computing resources available;

    determining whether any of the computing agents are non-idle and have increased computing resources available;

    reassigning variable problem partitions from computing agents having reduced computing resources available to non-idle computing agents having increased computing resources available responsive to identifying computing agents having reduced computing resources available and determining that a computing agent is non-idle and has increased computing resources available; and

    dividing the monitored available resources among the respective execution agents, in order to improve computing load manageability.

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