• DocumentCode
    656723
  • Title

    Enabling Demand Response in a computer cluster

  • Author

    Chen Wang ; de Groot, M.

  • Author_Institution
    ICT Centre, CSIRO, Epping, NSW, Australia
  • fYear
    2013
  • fDate
    21-24 Oct. 2013
  • Firstpage
    181
  • Lastpage
    186
  • Abstract
    Demand Response(DR) is a method for stimulating end-users to adjust consumption to support the change in the electricity market. DR can be used to improve the stability of power supply including the power generation, transmission and distribution. It can also be used to improve electricity market operation. Furthermore, significant cost savings can be made on the consumer side via the financial incentives in a range of DR programs. As the cloud computing paradigm gains popularity, there is an associated rapid growth of public and private data centers. Data center energy consumption increases significantly. Putting data center energy consumption in the context of power grid becomes important. In this paper, we propose an architecture to integrate data centre computer clusters with a DR service. The resource manager of a cluster can therefore take DR events into account when allocating resources. We particularly focus on resource provisioning for parallel workloads in such a cluster, and propose a DR strategy that is capable of balancing energy savings and user satisfaction.
  • Keywords
    cloud computing; computer centres; costing; energy consumption; power engineering computing; power grids; power markets; power system stability; resource allocation; DR; balancing energy saving; cloud computing paradigm; cost saving; data center energy consumption; data centre computer cluster; demand response; electricity market; financial incentive; power distribution; power generation; power grid; power supply stability; power transmission; resource allocation; Computers; Electricity; Load management; Mathematical model; Power grids; Servers; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2013.6687954
  • Filename
    6687954