• DocumentCode
    2460885
  • Title

    Ant-Based Approach to the Quality Aware Application Service Partitioning in a Grid Environment

  • Author

    Musunoori, Sharath Babu ; Horn, Geir

  • Author_Institution
    Simula Res. Lab., Lysaker
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    589
  • Lastpage
    596
  • Abstract
    This paper presents the first ant system based approach to the problem of configuring an application seen as a service composition on a distributed grid execution platform. The service set is to be partitioned onto the available execution nodes such that they satisfy some minimum quality requirements. Fundamentally this is an NP-hard problem. This paper explores the metaphor of foraging unintelligent ants of an ant colony, and model a de-centralised multi-agent method for solving the service partitioning problem. Moreover this approach establishes a distributed problem solving mechanism which does not require to have a central control. Simulations show that this is a viable approach for configuring applications in a grid environment.
  • Keywords
    grid computing; multi-agent systems; optimisation; NP-hard problem; ant-based approach; decentralised multiagent method; distributed grid execution platform; distributed problem solving mechanism; foraging uninteffigent ants; grid environment; quality aware application; service partitioning; Centralized control; Computational modeling; Concurrent computing; Distributed computing; Environmental management; Grid computing; NP-hard problem; Problem-solving; Processor scheduling; Resource management; Ant System; Mapping; Partitioning; Scheduling; Service Configuration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688363
  • Filename
    1688363