An energy optimization algorithm of date centers base on price volatility

Liang Hao; Gang Cui; Wende Ke; Bindi You

doi:10.1007/978-3-319-07782-6_67

An energy optimization algorithm of date centers base on price volatility

Liang Hao^*
, Gang Cui
, Wende Ke
, Bindi You

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

Optimizing the energy consumption of date centers has become a focus of attention in mobile cloud computing. However, the existing researches on energy management are rarely associated with the effect of price volatility. In this paper we propos an algorithm of energy optimization base on price volatility. The tariff interval is set base on the world time zones and energy optimization is iterative calculations using dynamic price method, a dependencies hierarchical strategy of tasks base on this policy is proposed and designed. By increasing the parallelism and execution dependencies of tasks, the amount of data movement and idle probability of data center nodes is reduced. The experimental results show that the algorithm can significantly minimize energy consumption while improving the efficiency of system.

Original language	English
Title of host publication	Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings
Editors	Zhipeng Cai, Chaokun Wang, Siyao Cheng, Hongzhi Wang, Hong Gao
Publisher	Springer Verlag
Pages	750-759
Number of pages	10
ISBN (Electronic)	9783319077819
DOIs	https://doi.org/10.1007/978-3-319-07782-6_67
State	Published - 2014
Externally published	Yes
Event	9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014 - Harbin, China Duration: 23 Jun 2014 → 25 Jun 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8491
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014
Country/Territory	China
City	Harbin
Period	23/06/14 → 25/06/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy optimization
Mobile cloud computing
Price volatility
Tariff interval

Access to Document

10.1007/978-3-319-07782-6_67

Cite this

Hao, L., Cui, G., Ke, W., & You, B. (2014). An energy optimization algorithm of date centers base on price volatility. In Z. Cai, C. Wang, S. Cheng, H. Wang, & H. Gao (Eds.), Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings (pp. 750-759). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8491). Springer Verlag. https://doi.org/10.1007/978-3-319-07782-6_67

Hao, Liang ; Cui, Gang ; Ke, Wende et al. / An energy optimization algorithm of date centers base on price volatility. Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings. editor / Zhipeng Cai ; Chaokun Wang ; Siyao Cheng ; Hongzhi Wang ; Hong Gao. Springer Verlag, 2014. pp. 750-759 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An energy optimization algorithm of date centers base on price volatility",

abstract = "Optimizing the energy consumption of date centers has become a focus of attention in mobile cloud computing. However, the existing researches on energy management are rarely associated with the effect of price volatility. In this paper we propos an algorithm of energy optimization base on price volatility. The tariff interval is set base on the world time zones and energy optimization is iterative calculations using dynamic price method, a dependencies hierarchical strategy of tasks base on this policy is proposed and designed. By increasing the parallelism and execution dependencies of tasks, the amount of data movement and idle probability of data center nodes is reduced. The experimental results show that the algorithm can significantly minimize energy consumption while improving the efficiency of system.",

keywords = "Energy optimization, Mobile cloud computing, Price volatility, Tariff interval",

author = "Liang Hao and Gang Cui and Wende Ke and Bindi You",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014 ; Conference date: 23-06-2014 Through 25-06-2014",

year = "2014",

doi = "10.1007/978-3-319-07782-6\_67",

language = "英语",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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editor = "Zhipeng Cai and Chaokun Wang and Siyao Cheng and Hongzhi Wang and Hong Gao",

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Hao, L, Cui, G, Ke, W & You, B 2014, An energy optimization algorithm of date centers base on price volatility. in Z Cai, C Wang, S Cheng, H Wang & H Gao (eds), Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8491, Springer Verlag, pp. 750-759, 9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014, Harbin, China, 23/06/14. https://doi.org/10.1007/978-3-319-07782-6_67

An energy optimization algorithm of date centers base on price volatility. / Hao, Liang; Cui, Gang; Ke, Wende et al.
Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings. ed. / Zhipeng Cai; Chaokun Wang; Siyao Cheng; Hongzhi Wang; Hong Gao. Springer Verlag, 2014. p. 750-759 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8491).

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

TY - GEN

T1 - An energy optimization algorithm of date centers base on price volatility

AU - Hao, Liang

AU - Cui, Gang

AU - Ke, Wende

AU - You, Bindi

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - Optimizing the energy consumption of date centers has become a focus of attention in mobile cloud computing. However, the existing researches on energy management are rarely associated with the effect of price volatility. In this paper we propos an algorithm of energy optimization base on price volatility. The tariff interval is set base on the world time zones and energy optimization is iterative calculations using dynamic price method, a dependencies hierarchical strategy of tasks base on this policy is proposed and designed. By increasing the parallelism and execution dependencies of tasks, the amount of data movement and idle probability of data center nodes is reduced. The experimental results show that the algorithm can significantly minimize energy consumption while improving the efficiency of system.

AB - Optimizing the energy consumption of date centers has become a focus of attention in mobile cloud computing. However, the existing researches on energy management are rarely associated with the effect of price volatility. In this paper we propos an algorithm of energy optimization base on price volatility. The tariff interval is set base on the world time zones and energy optimization is iterative calculations using dynamic price method, a dependencies hierarchical strategy of tasks base on this policy is proposed and designed. By increasing the parallelism and execution dependencies of tasks, the amount of data movement and idle probability of data center nodes is reduced. The experimental results show that the algorithm can significantly minimize energy consumption while improving the efficiency of system.

KW - Energy optimization

KW - Mobile cloud computing

KW - Price volatility

KW - Tariff interval

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings

A2 - Cai, Zhipeng

A2 - Wang, Chaokun

A2 - Cheng, Siyao

A2 - Wang, Hongzhi

A2 - Gao, Hong

PB - Springer Verlag

T2 - 9th International Conference on Wireless Algorithms, Systems and Applications, WASA 2014

Y2 - 23 June 2014 through 25 June 2014

ER -

Hao L, Cui G, Ke W, You B. An energy optimization algorithm of date centers base on price volatility. In Cai Z, Wang C, Cheng S, Wang H, Gao H, editors, Wireless Algorithms, Systems and Applications - 9th International Conference, WASA 2014, Proceedings. Springer Verlag. 2014. p. 750-759. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-07782-6_67

An energy optimization algorithm of date centers base on price volatility

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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