Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96483
Title: Socially-responsible load scheduling algorithms for sustainable data centers over smart grid
Authors: He, Jian
Deng, Xiang
Wu, Dan
Wen, Yonggang
Wu, Di
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: He, J., Deng, X., Wu, D., Wen, Y., & Wu, D. (2012). Socially-responsible load scheduling algorithms for sustainable data centers over smart grid. 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).
Abstract: Power consumption of data centers accounts for a significant portion of operational cost for service providers. However, it is not sufficient to minimize electricity cost only. Instead, service providers should also consider the sustainability of data centers. In this paper, we investigate the problem of socially-responsible load scheduling for sustainable data centers in a smart grid environment. We formulate the joint optimization of electricity cost, performance cost and social cost into a min-cost network flow model, which takes the diversity of regional electricity prices, user request latency, usage of renewable energy into account. We further propose both offline and online load scheduling algorithms to achieve the optimality of the objective cost function. Finally, a series of simulation experiments are conducted to evaluate the effectiveness of our proposed algorithms.
URI: https://hdl.handle.net/10356/96483
http://hdl.handle.net/10220/11967
DOI: http://dx.doi.org/10.1109/SmartGridComm.2012.6486018
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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