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E2ARS : An Energy-Effective Adaptive Replication Strategy in Cloud Storage System |
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PP: 2409-2419 |
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Author(s) |
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Xindong You,
Li Zhou,
Jie Huang,
Jinli Zhang,
Congfeng Jiang,
Jian Wan,
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Abstract |
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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 (E2ARS) 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 E2ARS scheme. Mathematical analysis show that our E2ARS 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 E2ARS 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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