• DocumentCode
    3004138
  • Title

    Prune PSO: A new task scheduling algorithm in multiprocessors systems

  • Author

    HaghNazar, Rozbeh ; Rahmani, Amir Masoud

  • Author_Institution
    Comput. Eng. Dept., Azad is Iamlc Univ., Tehran, Iran
  • fYear
    2010
  • fDate
    11-12 June 2010
  • Firstpage
    161
  • Lastpage
    165
  • Abstract
    The mapping of tasks among processors, which is known as task scheduling is one of the most important issues in multi-processor system. Although various solutions have been proposed, the most optimum method has not been found yet. Therefore, some expert in this field have tried developmental algorithms such as PSO and genetic. In this article, we try to study this problem by using the PSO algorithm. However, since this is an MPHard problem and the above mentioned algorithms are of high time complexity, we have tried to increase the speed of obtaining answers, without any resultant decrease in efficiency, through making changes in the PSO algorithm. Results presented in the experimental result of this article show that the speed of convergence increases as compared to the standard PSO.
  • Keywords
    computational complexity; multiprocessing systems; particle swarm optimisation; processor scheduling; NP-hard problem; Prune PSO; genetic algorithms; multiprocessor systems; task scheduling; time complexity; Algorithm design and analysis; Computer networks; Convergence; Equations; Genetics; Information technology; Multiprocessing systems; Processor scheduling; Real time systems; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Information Technology (ICNIT), 2010 International Conference on
  • Conference_Location
    Manila
  • Print_ISBN
    978-1-4244-7579-7
  • Electronic_ISBN
    978-1-4244-7578-0
  • Type

    conf

  • DOI
    10.1109/ICNIT.2010.5508537
  • Filename
    5508537