• DocumentCode
    2094091
  • Title

    Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines

  • Author

    Yang, Chao-Tung ; Wang, Kuan-Chieh ; Cheng, Hsiang-Yao ; Kuo, Cheng-Ta ; Chu, William Cheng C

  • Author_Institution
    Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan
  • fYear
    2011
  • fDate
    2-4 Sept. 2011
  • Firstpage
    726
  • Lastpage
    733
  • Abstract
    With the development of electronics in governments and business, the implementation of these services are increasing demand for servers. Continued expansion of servers represents our need for more space, power, air conditioning, network, human resources and other infrastructure. Regardless of how powerful servers now become, we do not make good use of all resources and strive for the waste. In this paper, the Green Power Management (GPM) is proposed for load balancing for virtual machine management on cloud. It includes three main phrases: (1) supporting green power mechanism, (2) implementing virtual machine resource monitor onto Open Nebula with web-based interface, and (3) integrating a Dynamic Resource Allocation (DRA) and Open Nebula functions as bases instead of traditionally booting physical machines with command mode.
  • Keywords
    cloud computing; network servers; power aware computing; resource allocation; user interfaces; virtual machines; OpenNebula; Web-based interface; cloud virtual machines; dynamic resource allocation; green power management; load balancing; servers; virtual machine management; virtual machine resource monitor; Computer architecture; Hardware; Loading; Operating systems; Resource management; Virtual machine monitors; Virtual machining; Dynamic Resource Allocation (DRA); Green Power Management (GPM); Virtual Machine; cloud computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on
  • Conference_Location
    Banff, AB
  • Print_ISBN
    978-1-4577-1564-8
  • Electronic_ISBN
    978-0-7695-4538-7
  • Type

    conf

  • DOI
    10.1109/HPCC.2011.103
  • Filename
    6063066