GreenTouch GreenMeter core network power consumption models and results

J. Elmirghani, T. Klein, K. Hinton, T. El-Gorashi, A. Lawey, Xiao-Sheng Dong
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引用次数: 18

Abstract

This paper summarizes the energy efficiency improvement obtained by implementing a number of techniques in the core network investigated by the GreenTouch consortium. These techniques include the use of improved components with lower power consumption, mixed line rates (MLR), energy efficient routing, sleep and physical topology optimization. We consider an example continental network topology, NSFNET, to evaluate the total power consumption of a 2010 network and a 2020 network. The 2020 network results are based on traffic projections, the reductions in the equipment power consumption expected by 2020 and a range of energy saving measures considered by GreenTouch as outlined above. The projections of the 2020 equipment power consumption are based on two scenarios: a business as usual (BAU) scenario and a Green Touch (GT) (i.e. BAU+GT) scenario. The results show that the 2020 BAU scenario improves the network energy efficiency by a factor of 4.8x compared to the 2010 network as a result of the reduction in the network equipment power consumption. Considering the 2020 BAU+GT network where the equipment power consumption is reduced by a factor of 27x compared to the 2010 network, and where sleep, MLR and network topology are jointly optimized, a total improvement in energy efficiency of 64x is obtained.
GreenMeter核心网能耗模型及结果
本文总结了通过实施绿色触摸联盟研究的核心网络中的一些技术所获得的能源效率改进。这些技术包括使用更低功耗的改进组件、混合线路速率(MLR)、节能路由、睡眠和物理拓扑优化。我们考虑一个示例大陆网络拓扑,NSFNET,来评估2010年网络和2020年网络的总功耗。2020年的网络结果是基于交通预测、预计到2020年设备功耗的减少以及上述绿色触摸所考虑的一系列节能措施。2020年设备功耗预测基于两种场景:照常运营(BAU)场景和绿色接触(GT)场景(即BAU+GT)场景。结果表明,由于网络设备功耗的降低,2020年BAU方案与2010年网络相比,将网络能源效率提高了4.8倍。考虑到2020年BAU+GT网络,设备功耗比2010年网络降低了27倍,同时对睡眠、MLR和网络拓扑进行了联合优化,总能效提高了64倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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