• DocumentCode
    3592680
  • Title

    Scheduling and resource management using PSO in P-grid

  • Author

    Loheswaran, K. ; Navin, B. ; Sharmila Devi, S. ; Saranya, S.

  • Author_Institution
    Dept. of Inf. Technol., Tamilnadu Coll. of Eng., Coimbatore, India
  • fYear
    2010
  • Firstpage
    399
  • Lastpage
    403
  • Abstract
    Grid computing can integrate computational resources from different networks or regional areas into a high presentation computational platform and be used to solve complex computing-intensive problems efficiently. Scheduling problem is an important issue in a grid computing environment, because of the heterogeneity of computing resources. Efficient Resource discovery mechanism is one of the fundamental requirements for Grid computing systems, as it aids in supply management and development of applications. Resource discovery activity involves searching for the appropriate resource types that match the user´s application requirements. Various kinds of solutions to grid resource discovery have been suggested, including the centralized and hierarchical information server approach. However, both of these approaches have serious limitations in regards to scalability, fault-tolerance and network congestion. To overcome these limitations, Peer-to-Peer (P2P) network model has been actively proposed in the past few years. This article investigates various decentralized resource discovery techniques primarily driven by P2P network model.
  • Keywords
    grid computing; particle swarm optimisation; peer-to-peer computing; scheduling; P-grid; PSO; complex computing intensive problem; decentralized resource discovery techniques; fault tolerance; grid computing; grid resource discovery; high presentation computational platform; network congestion; particle swarm optimisation; peer-to-peer network model; resource discovery mechanism; resource management; scheduling problem; supply management; user application requirement; Computational modeling; Conferences; Dynamic scheduling; Grid computing; Peer to peer computing; Processor scheduling; exponential distribution; fault-tolerance; heterogeneity; network congestion; peer-to-peer systems; scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
  • Type

    conf

  • Filename
    5738763