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• W2029597989 abstract "Despite some proposals for energy-efficient topologies, most of the studies for saving energy in data center networks are focused on traffic engineering, i.e., consolidating flows and switching off unnecessary network devices. The major weakness of this approach is network oscillation brought by the frequent change of network topology when traffic fluctuates very fast. In this paper, we propose to incorporate rate adaptation into green data center networks. With rate adaptive network devices, we aim at approaching network-wide energy proportionality by routing optimization. We formalize the problem with an integer program and propose an efficient approximation algorithm - TSRR, solving the problem quickly while guaranteeing a constant performance ratio. Extensive range of simulations confirm that more than 40% of the energy can be saved while introducing very slight stretch on network delay." @default.
• W2029597989 created "2016-06-24" @default.
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• W2029597989 date "2013-08-01" @default.
• W2029597989 modified "2023-09-23" @default.
• W2029597989 title "Incorporating Rate Adaptation Into Green Networking for Future Data Centers" @default.
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• W2029597989 doi "https://doi.org/10.1109/nca.2013.24" @default.
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