• DocumentCode
    630412
  • Title

    A Novel Resource Allocation Algorithm for a Heterogeneous Data Center

  • Author

    Shuo Zhang ; Yaping Liu ; Baosheng Wang ; Ruixin Zhang

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nowadays Internet-scale data centers are serving diverse applications, such as cloud computing, online trade, mass storage services, large-scale distributed applications, and et al. However, one issue concerned about data centers is huge energy consumption, which not only increases operational cost, but also causes environment problems. One way to reduce energy con-sumption is decreasing the scale of data centers, and another way is using well-designed resource allocation algorithm to achieve the tradeoff between energy consumption and performance. This paper belongs to the latter. In this paper, we first discuss the resource allocation problem in a heterogeneous data center, and then we propose a novel resource allocation algorithm based on fair scheduling policy and energy-aware policy to this problem, and present further discussions and conclusion at the end.
  • Keywords
    computer centres; energy consumption; resource allocation; scheduling; Internet-scale data center; cloud computing; energy consumption reduction; energy-aware policy; environment problem; fair scheduling policy; heterogeneous data center; large-scale distributed applications; mass storage services; online trade; operational cost; resource allocation algorithm; Delays; Energy consumption; Power demand; Processor scheduling; Resource management; Scheduling; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2013 International Conference on
  • Conference_Location
    Suwon
  • Print_ISBN
    978-1-4799-0602-4
  • Type

    conf

  • DOI
    10.1109/ICISA.2013.6579402
  • Filename
    6579402