• DocumentCode
    650586
  • Title

    Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines

  • Author

    Durr, F.

  • Author_Institution
    Inst. of Parallel & Distrib. Syst. (IPVS), Univ. Stuttgart, Stuttgart, Germany
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    91
  • Lastpage
    98
  • Abstract
    In this paper, we propose a concept for improving the energy efficiency and resource utilization of cloud infrastructures by combining the benefits of heterogeneous machine instances. The basic idea is to integrate low-power system on a chip (SoC) machines and high-power virtual machine instances into so-called Elastic Tandem Machine Instances (ETMI). The low-power machine serves low load and is always running to ensure the availability of the ETMI. When load rises, the ETMI scales up automatically by starting the high-power instance and handing over traffic to it. For the non-disruptive transition from low-power to high-power machines and vice versa, we present a handover mechanism based on software-defined networking technologies. Our evaluations show the applicability of low-power SoC machines to serve low load efficiently as well as the desired scalability properties of ETMIs.
  • Keywords
    cloud computing; environmental factors; system-on-chip; virtual machines; ETMI; SoC machine; cloud infrastructure; elastic tandem machine instances; energy efficiency; handover mechanism; high-power virtual machine; low-power system-on-a chip; nondisruptive transition; resource utilization; scalability property; software-defined networking technology; Handover; Hardware; IP networks; Protocols; Servers; System-on-chip; cloud computing; efficiency; elasticity; energy; green computing; infrastructure as a service; scaling; software-defined networking; system on a chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5028-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2013.85
  • Filename
    6676682