• DocumentCode
    3582132
  • Title

    Energy aware data center using dynamic consolidation techniques: A survey

  • Author

    Madhan, E.S. ; Srinivasan, S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., RMD Eng. Coll., Kavaraipettai, India
  • fYear
    2014
  • Firstpage
    43
  • Lastpage
    45
  • Abstract
    Nowadays, large-scale applications are moved to the Data centers due to reduce power consumption, latency and attain QOS. Data centers are served as a backbone of cloud computing which is built through various techniques including virtualization. It provides access to computing resources to customers based on "pay-per-usage" basis. The energy cost has become a top operational cost of a large-scale data centers and it reduces the Total Cost of Acquisition (TCA). There are many techniques for reduce the power utilization of a data center. Amongst, Virtualization is widely used to minimize the power consumption through server consolidation. Most of the existing techniques have used dynamic consolidation to improve both resource utilization and energy efficiency. However, they are failed to consider QoS of an applications that runs on virtual machine during consolidation. This paper presents a new approach to reduce power consumption by considering QoS and resource utilization while relocating the virtual machines. This paper describes the idea behind various power aware techniques that are used for creating green data centers.
  • Keywords
    cloud computing; computer centres; energy conservation; power aware computing; power consumption; power utilisation; virtual machines; virtualisation; cloud computing; computing resources; dynamic consolidation techniques; energy aware data center; energy cost; energy efficiency; green data centers; large-scale applications; large-scale data centers; pay-per-usage basis; power aware techniques; power consumption reduction; power utilization; resource utilization; server consolidation; total cost of acquisition; virtual machine; virtualization; Heuristic algorithms; Power demand; Quality of service; Resource management; Servers; Virtual machining; Virtualization; Virtualization; dynamic consolidation; energy efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Systems, 2014 International Conference on
  • Print_ISBN
    978-1-4799-3671-7
  • Type

    conf

  • DOI
    10.1109/ICCCS.2014.7068165
  • Filename
    7068165