• DocumentCode
    1707798
  • Title

    Performance Metrics for Data Center Communication Systems

  • Author

    Fiandrino, Claudio ; Kliazovich, Dzmitry ; Bouvry, Pascal ; Zomaya, Albert Y.

  • Author_Institution
    Univ. of Luxembourg -, Luxembourg, Luxembourg
  • fYear
    2015
  • Firstpage
    98
  • Lastpage
    105
  • Abstract
    Cloud computing has become a de facto approach for service provisioning over the Internet. It operates relying on a pool of shared computing resources available on demand and usually hosted in data centers. Assessing performance and energy efficiency of data centers becomes fundamental. Industries use a number of metrics to assess efficiency and energy consumption of cloud computing systems, focusing mainly on the efficiency of IT equipment, cooling and power distribution systems. However, none of the existing metrics is precise enough to distinguish and analyze the performance of data center communication systems from IT equipment. This paper proposes a framework of new metrics able to assess performance and energy efficiency of cloud computing communication systems, processes and protocols. The proposed metrics have been evaluated for the most common data center architectures including fat-tree three-tier, BCube and DCell.
  • Keywords
    cloud computing; computer centres; cooling; power aware computing; protocols; resource allocation; software performance evaluation; BCube; DCell; IT equipment; Internet; cloud computing communication systems; cloud computing systems; data center architectures; data center communication systems; energy consumption; energy efficiency; fat-tree three-tier; performance assessment; performance metrics; power distribution systems; protocols; service provisioning; shared computing resources; Bandwidth; Cloud computing; Computer architecture; Measurement; Optical switches; Power demand; Servers; Data center; cloud computing; performance and energy efficiency metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4673-7286-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2015.23
  • Filename
    7214033