Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 559)

Abstract

Volunteer computing systems provide a middleware for interaction between project owners and great number volunteers. In this chapter, a genetic programming paradigm has been proposed to a multi-objective scheduler design for efficient using some resources of volunteer computers via the web. In a studied problem, genetic scheduler can optimize both a workload of a bottleneck computer and cost of system. Genetic programming has been applied for finding the Pareto solutions by applying an immunological procedure. Finally, some numerical experiment outcomes have been discussed.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • J. Balicki
    • 1
  • W. Korłub
    • 1
  • H. Krawczyk
    • 1
  • J. Paluszak
    • 1
  1. 1.Faculty of Telecommunications, Electronics and InformaticsGdansk University of TechnologyGdańskPoland

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