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http://dx.doi.org/10.3837/tiis.2016.10.004

E2GSM: Energy Effective Gear-Shifting Mechanism in Cloud Storage System  

You, Xindong (Beijing Institute Of Graphic Communication)
Han, GuangJie (College of Internet of Things Engineering, Hohai University)
Zhu, Chuan (College of Internet of Things Engineering, Hohai University)
Dong, Chi (Alibaba Cloud Computing Co. Ltd, Alibaba Group)
Shen, Jian (School of Computer and Software, Nanjing University of Information Science and Technology)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.10, 2016 , pp. 4681-4702 More about this Journal
Abstract
Recently, Massive energy consumption in Cloud Storage System has attracted great attention both in industry and research community. However, most of the solutions utilize single method to reduce the energy consumption only in one aspect. This paper proposed an energy effective gear-shifting mechanism (E2GSM) in Cloud Storage System to save energy consumption from multi-aspects. E2GSM is established on data classification mechanism and data replication management strategy. Data is classified according to its properties and then be placed into the corresponding zones through the data classification mechanism. Data replication management strategies determine the minimum replica number through a mathematical model and make decision on replica placement. Based on the above data classification mechanism and replica management strategies, the energy effective gear-shifting mechanism (E2GSM) can automatically gear-shifting among the nodes. Mathematical analytical model certificates our proposed E2GSM is energy effective. Simulation experiments based on Gridsim show that the proposed gear-shifting mechanism is cost effective. Compared to the other energy-saved mechanism, our E2GSM can save energy consumption substantially at the slight expense of performance loss while meeting the QoS of user.
Keywords
Data partitioning; Data replication management; Gear-shifting mechanism; Cloud storage system;
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