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Journal of Computer Networks and Communications
Volume 2019, Article ID 4390917, 11 pages
Research Article

A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network

1Department of Information Technology, ICT Research Institute (ITRC), Tehran, Iran
2Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

Correspondence should be addressed to Pejman Goudarzi;

Received 11 August 2018; Revised 18 December 2018; Accepted 21 January 2019; Published 20 March 2019

Guest Editor: Md. Kafiul Islam

Copyright © 2019 Abolfazl Ghassemi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a Lyapunov drift-plus-penalty- (LDPP-) based algorithm to optimize the average power cost for a data center network. In particular, we develop an algorithm to minimize the operational cost using real-time electricity pricing with the integration of green energy resources from the smart grid. The LDPP technique can achieve significant energy cost savings under quality of service (QoS) constraints. Numerical results are presented to evaluate and validate our solution. These results illustrate significant operational/energy cost reductions for a data center network over the conventional approach which optimizes the predicted values of stochastic parameters under a fixed QoS constraint.