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
fDate :
July 30 2014-Aug. 1 2014
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;
Conference_Titel :
Computer Science and Engineering Conference (ICSEC), 2014 International
Conference_Location :
Khon Kaen
Print_ISBN :
978-1-4799-4965-6
DOI :
10.1109/ICSEC.2014.6978127