• DocumentCode
    179597
  • Title

    Joint virtual machine allocation and power portfolio optimization for data centers in smart grid environment

  • Author

    Chaisiri, Sivadon ; Niyato, Dusit ; Bu-Sung Lee

  • Author_Institution
    Sch. of Inf. Technol., Shinawatra Univ., Shinawatra, Thailand
  • fYear
    2014
  • fDate
    July 30 2014-Aug. 1 2014
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    Generally, data centers consume a great amount of electric power which incurs the major operating cost to a data center owner. Currently, smart grid whose one of the important features is the realtime pricing will be implemented by the public utility in a near future such that the owner could also encounter a risk of fluctuating electricity prices (i.e., spot prices) in electricity spot markets. To hedge against such a risk, the owner can sign forward contracts from electricity futures markets. In this paper, a stochastic programming model is formulated to jointly optimize the power cost in the electricity markets and the operating cost of virtual machine allocation in data centers. Numerical studies are performed to evaluate the model. The results clearly show that the proposed model can significantly reduce the cost of operating data centers under uncertainties of demand and power prices.
  • Keywords
    computer centres; cost reduction; demand side management; power consumption; power engineering computing; power markets; smart power grids; stochastic programming; virtual machines; cost reduction; data center; demand uncertainty; electric power consumption; electricity future market; electricity price fluctuation risk; electricity spot market; joint virtual machine allocation; power portfolio optimization; power price uncertainty; public utility; smart grid environment; stochastic programming model; Electricity; Forward contracts; Optimization; Power demand; Resource management; Servers; data center; portfolio optimization; smart grid; stochastic programming; virtual machine management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering Conference (ICSEC), 2014 International
  • Conference_Location
    Khon Kaen
  • Print_ISBN
    978-1-4799-4965-6
  • Type

    conf

  • DOI
    10.1109/ICSEC.2014.6978127
  • Filename
    6978127