Journal
APPLIED MATHEMATICS & INFORMATION SCIENCES
Volume 7, Issue 6, Pages 2409-2419Publisher
NATURAL SCIENCES PUBLISHING CORP-NSP
DOI: 10.12785/amis/070634
Keywords
Energy consumption; Energy conservation; replicas management; cloud storage system; gear-shifting mechanism
Categories
Funding
- Natural Science Foundation of Zhejiang Province [LY13F020045, LY13F020047, LQ12F02002]
- Natural Science Foundation of China [61202094, 6110004, 61003077, 61100193]
- Important Science & Technology Specific Projects of Zhejiang Province of China [2010C13022]
- National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2012BAH24B04]
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In order to solve the urgent issue of the energy consumption in the cloud storage system. An Energy-effective adaptive replication strategy (E(2)ARS) is proposed in this paper, in which data partition mechanism, minimal replicas determining model, replicas placement strategies and the adaptive gear-shifting mechanism are elaborately designed. We try to conserve the energy consumption while satisfying the users' desired response time by our E(2)ARS scheme. Mathematical analysis show that our E(2)ARS scheme will save energy consumption definitely when the system's workload is light or desired response time is loose. And the simulation experiment results demonstrate that through our E(2)ARS scheme energy consumption can be saved while with Qos satisfied and data availability guaranteed, when varying the arrival rate, desired response, replicas number, parallelism degrees.
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