Game theoretic energy allocation for renewable powered in-situ server systems

Junlong Zhou; Jianfei Chen; Kun Cao; Tongquan Wei; Mingsong Chen

doi:10.1109/ICPADS.2016.0099

Game theoretic energy allocation for renewable powered in-situ server systems

Junlong Zhou
, Jianfei Chen
, Kun Cao
, Tongquan Wei^*
, Mingsong Chen

^*Corresponding author for this work

Software Engineering Institute

East China Normal University

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

6 Scopus citations

Abstract

In-situ server systems are deployed in very special operating environment to handle in-situ workloads that are normally generated from environmentally sensitive areas or remote places that lack established utility infrastructure. This very special operating environment of in-situ servers urges such systems to be 100 percent powered by renewable energy. However, existing energy management schemes assume a hybrid supply of grid and renewable energy, hence are not well suited for 100 percent renewable powered in-situ server systems. In this paper, we tackle the problem of allocating harvested energy to 100 percent renewable powered server systems for optimizing both the overall system throughput and throughput of individual servers. From a game theoretic perspective, we model the energy allocation problem as a cooperative game among multiple servers and derive a Nash bargaining solution. Based on the Nash bargaining solution, we then propose a heuristic algorithm that determines the energy allocation strategies according to system energy states. Experimental results show that our proposed game theoretic approach achieves a high throughput from perspectives of both the overall system and individual servers.

Original language	English
Title of host publication	Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016
Editors	Xiaofei Liao, Robert Lovas, Xipeng Shen, Ran Zheng
Publisher	IEEE Computer Society
Pages	721-728
Number of pages	8
ISBN (Electronic)	9781509044573
DOIs	https://doi.org/10.1109/ICPADS.2016.0099
State	Published - 2 Jul 2016
Event	22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 - Wuhan, Hubei, China Duration: 13 Dec 2016 → 16 Dec 2016

Publication series

Name	Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume	0
ISSN (Print)	1521-9097

Conference

Conference	22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016
Country/Territory	China
City	Wuhan, Hubei
Period	13/12/16 → 16/12/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Game theory
In-situ server
Nash bargaining solution
Renewable energy allocation

Access to Document

10.1109/ICPADS.2016.0099

Cite this

Zhou, J., Chen, J., Cao, K., Wei, T., & Chen, M. (2016). Game theoretic energy allocation for renewable powered in-situ server systems. In X. Liao, R. Lovas, X. Shen, & R. Zheng (Eds.), Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 (pp. 721-728). Article 7823814 (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; Vol. 0). IEEE Computer Society. https://doi.org/10.1109/ICPADS.2016.0099

Zhou, Junlong ; Chen, Jianfei ; Cao, Kun et al. / Game theoretic energy allocation for renewable powered in-situ server systems. Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016. editor / Xiaofei Liao ; Robert Lovas ; Xipeng Shen ; Ran Zheng. IEEE Computer Society, 2016. pp. 721-728 (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS).

@inproceedings{aeab84296b0048998eab8a2f58653e7b,

title = "Game theoretic energy allocation for renewable powered in-situ server systems",

abstract = "In-situ server systems are deployed in very special operating environment to handle in-situ workloads that are normally generated from environmentally sensitive areas or remote places that lack established utility infrastructure. This very special operating environment of in-situ servers urges such systems to be 100 percent powered by renewable energy. However, existing energy management schemes assume a hybrid supply of grid and renewable energy, hence are not well suited for 100 percent renewable powered in-situ server systems. In this paper, we tackle the problem of allocating harvested energy to 100 percent renewable powered server systems for optimizing both the overall system throughput and throughput of individual servers. From a game theoretic perspective, we model the energy allocation problem as a cooperative game among multiple servers and derive a Nash bargaining solution. Based on the Nash bargaining solution, we then propose a heuristic algorithm that determines the energy allocation strategies according to system energy states. Experimental results show that our proposed game theoretic approach achieves a high throughput from perspectives of both the overall system and individual servers.",

keywords = "Game theory, In-situ server, Nash bargaining solution, Renewable energy allocation",

author = "Junlong Zhou and Jianfei Chen and Kun Cao and Tongquan Wei and Mingsong Chen",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 ; Conference date: 13-12-2016 Through 16-12-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/ICPADS.2016.0099",

language = "英语",

series = "Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS",

publisher = "IEEE Computer Society",

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Zhou, J, Chen, J, Cao, K, Wei, T & Chen, M 2016, Game theoretic energy allocation for renewable powered in-situ server systems. in X Liao, R Lovas, X Shen & R Zheng (eds), Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016., 7823814, Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, vol. 0, IEEE Computer Society, pp. 721-728, 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016, Wuhan, Hubei, China, 13/12/16. https://doi.org/10.1109/ICPADS.2016.0099

Game theoretic energy allocation for renewable powered in-situ server systems. / Zhou, Junlong; Chen, Jianfei; Cao, Kun et al.
Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016. ed. / Xiaofei Liao; Robert Lovas; Xipeng Shen; Ran Zheng. IEEE Computer Society, 2016. p. 721-728 7823814 (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; Vol. 0).

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

TY - GEN

T1 - Game theoretic energy allocation for renewable powered in-situ server systems

AU - Zhou, Junlong

AU - Chen, Jianfei

AU - Cao, Kun

AU - Wei, Tongquan

AU - Chen, Mingsong

PY - 2016/7/2

Y1 - 2016/7/2

N2 - In-situ server systems are deployed in very special operating environment to handle in-situ workloads that are normally generated from environmentally sensitive areas or remote places that lack established utility infrastructure. This very special operating environment of in-situ servers urges such systems to be 100 percent powered by renewable energy. However, existing energy management schemes assume a hybrid supply of grid and renewable energy, hence are not well suited for 100 percent renewable powered in-situ server systems. In this paper, we tackle the problem of allocating harvested energy to 100 percent renewable powered server systems for optimizing both the overall system throughput and throughput of individual servers. From a game theoretic perspective, we model the energy allocation problem as a cooperative game among multiple servers and derive a Nash bargaining solution. Based on the Nash bargaining solution, we then propose a heuristic algorithm that determines the energy allocation strategies according to system energy states. Experimental results show that our proposed game theoretic approach achieves a high throughput from perspectives of both the overall system and individual servers.

AB - In-situ server systems are deployed in very special operating environment to handle in-situ workloads that are normally generated from environmentally sensitive areas or remote places that lack established utility infrastructure. This very special operating environment of in-situ servers urges such systems to be 100 percent powered by renewable energy. However, existing energy management schemes assume a hybrid supply of grid and renewable energy, hence are not well suited for 100 percent renewable powered in-situ server systems. In this paper, we tackle the problem of allocating harvested energy to 100 percent renewable powered server systems for optimizing both the overall system throughput and throughput of individual servers. From a game theoretic perspective, we model the energy allocation problem as a cooperative game among multiple servers and derive a Nash bargaining solution. Based on the Nash bargaining solution, we then propose a heuristic algorithm that determines the energy allocation strategies according to system energy states. Experimental results show that our proposed game theoretic approach achieves a high throughput from perspectives of both the overall system and individual servers.

KW - Game theory

KW - In-situ server

KW - Nash bargaining solution

KW - Renewable energy allocation

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BT - Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016

A2 - Liao, Xiaofei

A2 - Lovas, Robert

A2 - Shen, Xipeng

A2 - Zheng, Ran

PB - IEEE Computer Society

T2 - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016

Y2 - 13 December 2016 through 16 December 2016

ER -

Zhou J, Chen J, Cao K, Wei T, Chen M. Game theoretic energy allocation for renewable powered in-situ server systems. In Liao X, Lovas R, Shen X, Zheng R, editors, Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016. IEEE Computer Society. 2016. p. 721-728. 7823814. (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS). doi: 10.1109/ICPADS.2016.0099

Game theoretic energy allocation for renewable powered in-situ server systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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