• DocumentCode
    3173550
  • Title

    Grid Task Scheduling Based on Adaptive Ant Colony Algorithm

  • Author

    Liu, Aihong ; Wang, Zhengyou

  • Author_Institution
    Inf. Manage. Sch., Jiangxi Univ. of Finance & Econ., Nanchang
  • fYear
    2008
  • fDate
    17-19 Oct. 2008
  • Firstpage
    415
  • Lastpage
    418
  • Abstract
    On the basis of former work, this paper presents an improved ant colony algorithm, namely adaptive ant colony algorithm for grid task scheduling. In the proposed algorithm, the value of evaporation rate p is adaptively changed and a minimum value pmin is assigned. Thereby, the evaporation rate p is under control and will never be reduced to 0. Comparing experimental results with the original algorithm show that the proposed algorithm is more efficient both in task scheduling efficiency and resource load.
  • Keywords
    grid computing; scheduling; adaptive ant colony algorithm; grid task scheduling; resource load; task scheduling efficiency; Adaptive scheduling; Conference management; Dynamic scheduling; Electronic government; Feedback; Financial management; Grid computing; Optimal scheduling; Processor scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on
  • Conference_Location
    Jiangxi
  • Print_ISBN
    978-0-7695-3366-7
  • Type

    conf

  • DOI
    10.1109/ICMECG.2008.50
  • Filename
    4656668
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3173550