• DocumentCode
    3439709
  • Title

    Virtual machine placement for minimizing connection cost in data center networks

  • Author

    Fukunaga, Takuro ; Hirahara, Shuichi ; Yoshikawa, Hiyori

  • Author_Institution
    Nat. Inst. of Inf., Tokyo, Japan
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    486
  • Lastpage
    491
  • Abstract
    Virtualization is a key technology for the efficient operation of massive data centers. To minimize the communication costs among virtual machines (VMs) in a data center network, we formulate an optimization problem for finding efficient VM placements. In this problem, a set of requests is received from customers, where each request is defined as the required number of VMs. The problem seeks to determine those physical machines in the network that host the requested VMs under a capacity constraint such that the number of VMs placed on each physical machine does not exceed that of the available slots. To minimize the load of the networks, for each request, we consider the connection cost of the VM placements, which is defined as the minimum length of networks connecting all physical host machines and the root node. The objective in the problem is to minimize the total connection costs. We present an approximation algorithm for this optimization problem.
  • Keywords
    approximation theory; computer centres; optimisation; virtual machines; virtualisation; VM placements; approximation algorithm; capacity constraint; communication costs minimization; customer request; data center network; massive data centers; optimization problem; physical host machines; total connection costs minimization; virtual machine placement; virtualization; Approximation algorithms; Approximation methods; Computational modeling; Data communication; Heuristic algorithms; Optimization; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2015.7179432
  • Filename
    7179432