• DocumentCode
    235127
  • Title

    A modified max-min ant colony optimization algorithm for virtual machines replacement in cloud datacenter§

  • Author

    Tiantian Ren ; Xinli Huang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
  • fYear
    2014
  • fDate
    5-7 Dec. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    With the increasing scale of cloud datacenters, the volumes of traffic flows inside a single datacenter become larger. An effective virtual machine (VM) replacement among physical machines (PMs) can improve resource utilization rate and reduce overall network cost in cloud datacenters. In this paper, we propose a Modified Max-Min Ant Colony Optimization (M3ACO) algorithm which can be used to solve the VMs replacement problem. Furthermore, we apply the M3ACO algorithm into a new framework based on Software Defined Network (SDN), which provides an integrated solution for resource optimization problem in cloud datacenters.
  • Keywords
    ant colony optimisation; computer centres; minimax techniques; resource allocation; software defined networking; virtual machines; M3ACO algorithm; PMs; SDN; VM replacement; cloud datacenter; modified max-min ant colony optimization algorithm; overall network cost reduction; physical machines; resource optimization problem; resource utilization rate; software defined network; virtual machine replacement; Ant Colony Optimization (ACO); Software Defined Network (SDN); VMs replacement; cloud datacenter; network cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2014 IEEE International
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/PCCC.2014.7017047
  • Filename
    7017047
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=235127