• DocumentCode
    576943
  • Title

    A dynamic resource allocation method in IaaS based on deadline time

  • Author

    Guan, Lu ; Wang, Ying ; Li, Yanfei

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Reducing the number of active nodes is an natural and effective method in energy saving for large scale cloud datacenters. However, the traditional way of consolidating VMs by migration may lead to the impacts on performance as well as costs on power consumption and migration. In this paper, we propose an algorithm named DRAMDT to deploy VMs to servers without the use of migration, which groups VM instances by their deadline runtimes and pack VMs within the same group on the same servers. It is demonstrated in the experiments that DRAMDT is able to shut down more servers in time to save energy when user amount reduces. And the proposed algorithm has small searching space, low complexity and good scalability.
  • Keywords
    cloud computing; computer centres; energy conservation; resource allocation; virtual machines; DRAMDT algorithm; IaaS; VM instances; deadline runtimes; dynamic resource allocation method; energy saving; large scale cloud datacenters; performance impacts; power consumption; virtual machine; Algorithm design and analysis; Cloud computing; Dynamic scheduling; Power demand; Resource management; Runtime; Servers; IaaS cloud; runtime; time rotating VM sub-pool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2012 14th Asia-Pacific
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-4494-4
  • Electronic_ISBN
    978-1-4673-4495-1
  • Type

    conf

  • DOI
    10.1109/APNOMS.2012.6356077
  • Filename
    6356077