Study on energy saving strategy and evaluation method of green cloud computing system

Lin Gong; Jian Xie; Xiaolan Li; Bo Deng

doi:10.1109/ICIEA.2013.6566417

Study on energy saving strategy and evaluation method of green cloud computing system

Lin Gong, Jian Xie, Xiaolan Li, Bo Deng

School of Mechanical Engineering

Beijing Institute of Technology

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

14 Citations (Scopus)

Abstract

Cloud computing, the next generation computing system, is gradually being got more and more attention on its green energy-saving characteristics in academia. This paper first reviews cloud computing concept and platform structure. Second, strategies of green energy saving for cloud computing platform are proposed from four aspects: hardware design, software technology, virtual machine manager and network environment. Then, based on fuzzy comprehensive evaluation, the method and model of green cloud computing platform evaluation are put forward including green characteristic indexes and ability characteristic indexes. Final, an instance is calculated to verify the methods and model.

Original language	English
Title of host publication	Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
Pages	483-488
Number of pages	6
DOIs	https://doi.org/10.1109/ICIEA.2013.6566417
Publication status	Published - 2013
Event	2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 - Melbourne, VIC, Australia Duration: 19 Jun 2013 → 21 Jun 2013

Publication series

Name	Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

Conference

Conference	2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	19/06/13 → 21/06/13

Keywords

Cloud Computing
Energy Saving
Fuzzy Comprehensive Evaluation
Green Computing

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10.1109/ICIEA.2013.6566417

Cite this

Gong, L., Xie, J., Li, X., & Deng, B. (2013). Study on energy saving strategy and evaluation method of green cloud computing system. In Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 (pp. 483-488). Article 6566417 (Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013). https://doi.org/10.1109/ICIEA.2013.6566417

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title = "Study on energy saving strategy and evaluation method of green cloud computing system",

abstract = "Cloud computing, the next generation computing system, is gradually being got more and more attention on its green energy-saving characteristics in academia. This paper first reviews cloud computing concept and platform structure. Second, strategies of green energy saving for cloud computing platform are proposed from four aspects: hardware design, software technology, virtual machine manager and network environment. Then, based on fuzzy comprehensive evaluation, the method and model of green cloud computing platform evaluation are put forward including green characteristic indexes and ability characteristic indexes. Final, an instance is calculated to verify the methods and model.",

keywords = "Cloud Computing, Energy Saving, Fuzzy Comprehensive Evaluation, Green Computing",

author = "Lin Gong and Jian Xie and Xiaolan Li and Bo Deng",

year = "2013",

doi = "10.1109/ICIEA.2013.6566417",

language = "English",

isbn = "9781467363211",

series = "Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013",

pages = "483--488",

booktitle = "Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013",

note = "2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 ; Conference date: 19-06-2013 Through 21-06-2013",

}

Gong, L, Xie, J, Li, X & Deng, B 2013, Study on energy saving strategy and evaluation method of green cloud computing system. in Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013., 6566417, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013, pp. 483-488, 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013, Melbourne, VIC, Australia, 19/06/13. https://doi.org/10.1109/ICIEA.2013.6566417

Study on energy saving strategy and evaluation method of green cloud computing system. / Gong, Lin; Xie, Jian; Li, Xiaolan et al.
Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013. 2013. p. 483-488 6566417 (Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013).

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

TY - GEN

T1 - Study on energy saving strategy and evaluation method of green cloud computing system

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AU - Xie, Jian

AU - Li, Xiaolan

AU - Deng, Bo

PY - 2013

Y1 - 2013

N2 - Cloud computing, the next generation computing system, is gradually being got more and more attention on its green energy-saving characteristics in academia. This paper first reviews cloud computing concept and platform structure. Second, strategies of green energy saving for cloud computing platform are proposed from four aspects: hardware design, software technology, virtual machine manager and network environment. Then, based on fuzzy comprehensive evaluation, the method and model of green cloud computing platform evaluation are put forward including green characteristic indexes and ability characteristic indexes. Final, an instance is calculated to verify the methods and model.

AB - Cloud computing, the next generation computing system, is gradually being got more and more attention on its green energy-saving characteristics in academia. This paper first reviews cloud computing concept and platform structure. Second, strategies of green energy saving for cloud computing platform are proposed from four aspects: hardware design, software technology, virtual machine manager and network environment. Then, based on fuzzy comprehensive evaluation, the method and model of green cloud computing platform evaluation are put forward including green characteristic indexes and ability characteristic indexes. Final, an instance is calculated to verify the methods and model.

KW - Cloud Computing

KW - Energy Saving

KW - Fuzzy Comprehensive Evaluation

KW - Green Computing

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DO - 10.1109/ICIEA.2013.6566417

M3 - Conference contribution

AN - SCOPUS:84881416115

SN - 9781467363211

T3 - Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

SP - 483

EP - 488

BT - Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

T2 - 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

Y2 - 19 June 2013 through 21 June 2013

ER -

Gong L, Xie J, Li X, Deng B. Study on energy saving strategy and evaluation method of green cloud computing system. In Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013. 2013. p. 483-488. 6566417. (Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013). doi: 10.1109/ICIEA.2013.6566417

Study on energy saving strategy and evaluation method of green cloud computing system

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