• DocumentCode
    604539
  • Title

    Cloud computing resource searching based on improved ACO

  • Author

    Shen Jia-Jie

  • Author_Institution
    Comput. center of Sch. of Inf. Sci. & Technol., East China normal Univ., Shanghai, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    1943
  • Lastpage
    1946
  • Abstract
    Aiming at the problem of the cloud computing hard to find the resource. Using the improved ant colony optimization (ACO) algorithm, the resource of cloud is found in optimized cost. Though theoretical deviation, The improved ACO algorithm can get the optimization result in limited time which is shorter than the standard ACO algorithm under situation of cloud computing. The correctness of theoretical derivation is verified by the experience.
  • Keywords
    ant colony optimisation; cloud computing; search problems; travelling salesman problems; TSP problem; cloud computing resource searching; improved ACO algorithm; improved ant colony optimization algorithm; ACO algorithm; TSP problem; cloud computing; resource search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526299
  • Filename
    6526299
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=604539