• DocumentCode
    1980759
  • Title

    Energy optimizations for data center network: Formulation and its solution

  • Author

    Shuo Fang ; Hui Li ; Chuan Heng Foh ; Yonggang Wen ; Khin Mi Mi Aung

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    3256
  • Lastpage
    3261
  • Abstract
    Data center consumes increasing amount of power nowadays, together with expanding number of data centers and upgrading data center scale, its power consumption becomes a knotty issue. While main efforts of this research focus on server and storage power reduction, network devices as part of the key components of data centers, also contribute to the overall power consumption as data centers expand. In this paper, we address this problem with two perspectives. First, in a macro level, we attempt to reduce redundant energy usage incurred by network redundancies for load balancing. Second, in the micro level, we design algorithm to limit port rate in order to reduce unnecessary power consumption. Given the guidelines we obtained from problem formulation, we propose a solution based on greedy approach with integration of network traffic and minimization of switch link rate. We also present results from a simulation-based performance evaluation which shows that expected power saving is achieved with tolerable delay.
  • Keywords
    computer centres; energy consumption; optimisation; performance evaluation; power aware computing; resource allocation; data center network; data center scale; energy optimizations; load balancing; macro level; network redundancies; network traffic; redundant energy usage reduction; simulation-based performance evaluation; switch link rate minimization; tolerable delay; unnecessary power consumption; Data center; Optimization; Power management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503616
  • Filename
    6503616