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Towards a robust and green internet backbone network

机译:迈向强大而绿色的互联网骨干网

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Networking infrastructure consumes a sizable fraction of the electricity supply. A network design model aimed at maximizing energy savings by aggregating traffic demand at a small set of resources, to put under-utilized resources to sleep, is offset by legacy models aimed at maximizing the network throughput by spreading the load across network resources. Traffic fluctuations and sudden spikes further complicate the problem. In this paper, we show that the problem is NP-hard, and propose a heuristic which targets optimal power usage for common traffic demand, while accommodating traffic fluctuations. The efficacy of our design is tested on two published backbone networks: NLR and NSFNET. Simulation results reveal that the proposed heuristic closely matches the results of the optimal algorithm in both energy savings and network utilization, while enjoying polynomial time complexity.
机译:网络基础设施消耗了大量的电力供应。旨在通过在少量资源上聚集流量需求,使未充分利用的资源进入睡眠状态来最大化节能的网络设计模型被旨在通过在网络资源上分散负载来最大化网络吞吐量的传统模型所抵消。交通波动和突然的高峰使问题进一步复杂化。在本文中,我们证明了该问题是NP难题的,并提出了一种启发式方法,该方法针对常见的交通需求以最佳功率使用为目标,同时适应交通波动。我们的设计的有效性在两个已发布的骨干网络上进行了测试:NLR和NSFNET。仿真结果表明,所提出的启发式算法在节能和网络利用率方面都与最优算法的结果紧密匹配,同时还具有多项式时间复杂性。

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