Robust geographical load balancing for sustainable data centers

Tianyi Chen; Yu Zhang; Xin Wang; Georgios B Giannakis

doi:10.1109/ICASSP.2016.7472333

Robust geographical load balancing for sustainable data centers

Tianyi Chen, Yu Zhang, Xin Wang, Georgios B Giannakis

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Scopus citations

Abstract

A systematic framework is put forth in this paper to integrate renewable energy sources (RES), distributed storage units, cooling facilities, as well as dynamic pricing into the workload and energy management tasks for a data center network. To cope with RES uncertainty, the resource allocation task is formulated as a robust optimization problem minimizing the worst-case net cost. The resulting problem is reformulated as a convex program, and then solved in a distributed fashion using the dual decomposition approach. Numerical tests demonstrate the performance gain of the proposed approach over the existing alternative.

Original language	English (US)
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3526-3530
Number of pages	5
ISBN (Electronic)	9781479999880
DOIs	https://doi.org/10.1109/ICASSP.2016.7472333
State	Published - May 18 2016
Event	41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China Duration: Mar 20 2016 → Mar 25 2016

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2016-May
ISSN (Print)	1520-6149

Other

Other	41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Country/Territory	China
City	Shanghai
Period	3/20/16 → 3/25/16

Bibliographical note

Funding Information:
Work in this paper was supported by NSF 1509040, 1508993, 1509005, 1423316, 1442686 and 1202135; the China Recruitment Program of Global Young Experts, the Program for New Century Excellent Talents in University, the Innovation Program of Shanghai Municipal Education Commission

Keywords

Geo-distributed data centers
cloud computing
renewable energy
robust optimization
smart grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1109/ICASSP.2016.7472333

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Chen, T., Zhang, Y., Wang, X., & Giannakis, G. B. (2016). Robust geographical load balancing for sustainable data centers. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (pp. 3526-3530). [7472333] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2016.7472333

Robust geographical load balancing for sustainable data centers. / Chen, Tianyi; Zhang, Yu; Wang, Xin et al.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3526-3530 7472333 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2016-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, T, Zhang, Y, Wang, X & Giannakis, GB 2016, Robust geographical load balancing for sustainable data centers. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings., 7472333, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2016-May, Institute of Electrical and Electronics Engineers Inc., pp. 3526-3530, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 3/20/16. https://doi.org/10.1109/ICASSP.2016.7472333

Chen T, Zhang Y, Wang X, Giannakis GB. Robust geographical load balancing for sustainable data centers. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3526-3530. 7472333. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2016.7472333

Chen, Tianyi ; Zhang, Yu ; Wang, Xin et al. / Robust geographical load balancing for sustainable data centers. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3526-3530 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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AB - A systematic framework is put forth in this paper to integrate renewable energy sources (RES), distributed storage units, cooling facilities, as well as dynamic pricing into the workload and energy management tasks for a data center network. To cope with RES uncertainty, the resource allocation task is formulated as a robust optimization problem minimizing the worst-case net cost. The resulting problem is reformulated as a convex program, and then solved in a distributed fashion using the dual decomposition approach. Numerical tests demonstrate the performance gain of the proposed approach over the existing alternative.

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Robust geographical load balancing for sustainable data centers

Abstract

Publication series

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Bibliographical note

Keywords

UN SDGs

Publisher link

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