• DocumentCode
    3681371
  • Title

    Resources Allocation Method on Cloud Computing

  • Author

    Wei Ming;Zhang Chunyan;Qiu Feng;Cui Yu;Sui Qiangqiang;Ding Wanbing

  • Author_Institution
    Beijing Shenzhou Aerosp. Software Technol. Co., Ltd., Beijing, China
  • fYear
    2014
  • fDate
    5/1/2014 12:00:00 AM
  • Firstpage
    199
  • Lastpage
    201
  • Abstract
    To improve the efficiency of resource allocation cloud computing, as while as to improve resource utilization for the service provider, the paper has raised a polymorphic algorithm of Ant Colony Optimization, which can assure the quality of cloud service, and also dynamically change the list that contain nodes information. When the user submits the task, the algorithm will transfer it to the Cloud Control Queen by Master. And then, according to the functions, the ant colony will be divided into test ant colony, reconnaissance ant colony, cleared ant colony and workers ant colony. The algorithm can achieve the minimum average completion time gradually, and may reduce local optima, by forecasting the completion time and other pheromone.
  • Keywords
    "Resource management","Algorithm design and analysis","Cloud computing","Clustering algorithms","Virtual machining","Ant colony optimization","Bandwidth"
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2014 International Conference on
  • ISSN
    2165-3828
  • Type

    conf

  • DOI
    10.1109/ICSS.2014.50
  • Filename
    7312315