• DocumentCode
    1584479
  • Title

    Based on ant colony algorithm for cloud management platform resources scheduling

  • Author

    Qiaochu, Lv ; Xiaoxing, Shi ; Lianzhe, Zhou

  • Author_Institution
    School Of Computer Science and Engineering, Changchun University Of Technology, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the development of Cloud Services, IaaS (Infrastructure as a Service) become a part of our daily life. And this paper is based on cloud management platform architecture which is in the testing phase. According to the experiment, we found a new way to solve the resources optimization problem about the resource scheduling of cloud management platform, and obtained satisfactory results. It indicated that ant colony algorithm could play a essential role in the problem about the resource scheduling of cloud management platform.
  • Keywords
    ant colony optimization; resource scheduling; the cloud management platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321448