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Minimizing the Energy Cost of Servers in Data Center Networks

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4 Author(s)
Jun Wu ; Sch. of Comput. Sci., Fudan Univ., Shanghai, China ; Qin Jia ; Jin Zhao ; Xin Wang

To alleviate the growing concern of energy waste in networked devices, we propose an energy saving strategy in the "server-centric" data center network. Focusing on servers, we introduce a basic scheme based on the transition of automata. By changing efficiently from sleeping state to active state in different network traffic, servers save the energy. This scheme is self-adaptive and simple. Based on this prime scheme, we enhance the strategy by further taking advantage of the unique topology of BCube. We present a structure algorithm relying on the active substructure in BCube. Combining with the basic scheme and structure algorithm, our energy saving strategy can achieve a high proportion of energy saving without sacrificing service quality like packet delay in the simulation with real traffic trace.

Published in:

Cloud and Green Computing (CGC), 2012 Second International Conference on

Date of Conference:

1-3 Nov. 2012