• DocumentCode
    2839617
  • Title

    VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter

  • Author

    Wen, Xitao ; Chen, Kai ; Chen, Yan ; Liu, Yongqiang ; Xia, Yong ; Hu, Chengchen

  • Author_Institution
    Northwestern Univ., Evanston, IL, USA
  • fYear
    2012
  • fDate
    18-21 June 2012
  • Firstpage
    12
  • Lastpage
    21
  • Abstract
    Our measurements on production data center traffic together with recently reported results suggest that data center networks suffer from long-lived congestion caused by core network over subscription and unbalanced workload placement. In contrast to traditional traffic engineering approaches that optimize flow routing, in this paper, we explore the opportunity to address the continuous congestion via optimizing VM placement in virtualized data centers. To this end, we present Virtual Knotter, an efficient online VM placement algorithm to reduce congestion with controllable VM migration traffic as well as low time complexity. Our evaluation with both real and synthetic traffic patterns shows that Virtual Knotter performs close to the baseline algorithm in terms of link unitization, with only 5%-10% migration traffic of the baseline algorithm. Furthermore, Virtual Knotter decreases link congestion time by 53% for the production data center traffic.
  • Keywords
    computer centres; virtual machines; virtual reality; VM migration traffic; VirtualKnotter; baseline algorithm; continuous congestion; core network; data center networks; flow routing; link congestion; online VM placement algorithm; online virtual machine shuffling; production data center traffic; synthetic traffic pattern; time complexity; traffic engineering; unbalanced workload placement; virtualized data center; virtualized datacenter; Clustering algorithms; Heuristic algorithms; Optimization; Partitioning algorithms; Production; Routing; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2012 IEEE 32nd International Conference on
  • Conference_Location
    Macau
  • ISSN
    1063-6927
  • Print_ISBN
    978-1-4577-0295-2
  • Type

    conf

  • DOI
    10.1109/ICDCS.2012.25
  • Filename
    6257974