• DocumentCode
    458849
  • Title

    Intelligent Ant-Based Solution to the Application Service Partitioning Problem in a Grid Environment

  • Author

    Musunoori, Sharath Babu ; Horn, Geir

  • Author_Institution
    SIMULA Res. Lab., Lysaker
  • Volume
    1
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    416
  • Lastpage
    424
  • Abstract
    This paper presents a decentralised multi-agent method based the metaphor of foraging intelligent ants, for solving the problem of application service partitioning onto the execution nodes of the grid environment such that all services of the application satisfy some minimum quality requirements. Fundamentally, this is an NP-hard problem. The proposed algorithms have been rigorously tested and evaluated through extensive simulations on randomly generated application services and grid environment. The results show that intelligent ants perform significantly better than what could be achieved with simple unintelligent random ants
  • Keywords
    computational complexity; grid computing; multi-agent systems; NP-hard problem; application service partitioning; decentralised multiagent method; foraging intelligent ants; grid environment; service configuration; Application software; Computational modeling; Distributed computing; Feedback; Learning automata; Mesh generation; NP-hard problem; Partitioning algorithms; Testing; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.176
  • Filename
    4021475