• DocumentCode
    3434843
  • Title

    Flow-and-VM Migration for Optimizing Throughput and Energy in SDN-Based Cloud Datacenter

  • Author

    Wei-Chu Lin ; Chien-Hui Liao ; Kuan-Tsen Kuo ; Wen, Charles H.-P

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    1
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    206
  • Lastpage
    211
  • Abstract
    Minimizing energy consumption and improving performance in data centers are critical to cost-saving for cloud operators, but traditionally, these two optimization objectives are treated separately. Therefore, this paper presents an unified solution combining two strategies, flow migration and VM migration, to maximize throughput and minimize energy, simultaneously. Traffic-aware flow migration (FM) is first incorporated in dynamic reroute (DENDIST), evolving into DENDIST-FM, in a software-defined network (SDN) for improving throughput and avoiding congestion. Second, given energy and topology information, VM migration (ETA-VMM) can help reduce traffic loads and meanwhile save energy. Our experimental result indicates that compared to previous works, the proposed method can improve throughput by 42.5% on average with only 2.2% energy overhead. Accordingly, the unified flow-and-VM migration solution has been proven effective for optimizing throughput and energy in SDN-based cloud data centers.
  • Keywords
    cloud computing; computer centres; computer networks; power aware computing; telecommunication network routing; telecommunication network topology; telecommunication traffic; virtual machines; DENDIST-FM; ETA-VMM; FM; SDN-based cloud data center; cloud operators; data centers; dynamic-reroute algorithm; energy consumption minimization; energy optimization; flow-and-VM migration solution; software-defined network; throughput optimization; topology information; traffic load reduction; traffic-aware flow migration; virtual machines; Cloud computing; Energy consumption; Frequency modulation; Network topology; Routing; Throughput; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
  • Conference_Location
    Bristol
  • Type

    conf

  • DOI
    10.1109/CloudCom.2013.35
  • Filename
    6753799