DocumentCode :
623220
Title :
Study on energy saving strategy and evaluation method of green cloud computing system
Author :
Lin Gong ; Jian Xie ; Xiaolan Li ; Bo Deng
Author_Institution :
Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
483
Lastpage :
488
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 conservation; environmental factors; fuzzy set theory; virtual machines; ability characteristic index; cloud computing concept; cloud computing platform structure; energy saving evaluation method; energy saving strategy; fuzzy comprehensive evaluation; green characteristic index; green cloud computing system; green energy-saving characteristics; hardware design; network environment; next generation computing system; software technology; virtual machine manager; Cloud computing; Energy consumption; Green products; Hardware; Indexes; Power demand; Cloud Computing; Energy Saving; Fuzzy Comprehensive Evaluation; Green Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
Type :
conf
DOI :
10.1109/ICIEA.2013.6566417
Filename :
6566417
Link To Document :
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