流量集中,绿色互联网

Xuezhou Ma, K. Harfoush
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引用次数: 3

摘要

冷却设备占互联网能源足迹的相当大一部分。现有的网络设计模型,假设一个线性的路由器功率谱,被误导,忽略了冷却消耗的影响。在本文中,我们假设一台路由器所消耗的总能量与流量需求成多项式关系,并且当路由器负载增加时能量迅速增加。因此,制定了一种能源智能网络设计,以便在整个网络的路由器之间均匀地分散流量。我们进一步提出了一个启发式模型,并将我们的设计与两个已发布的骨干网(NSFNET和AT&T)上流行的流量集中模型进行了比较。仿真结果表明,我们的设计至少节省了25%的能量消耗,并且所提出的启发式算法与最优结果非常接近。因此,缓解网络瓶颈路由器,而不是创建瓶颈路由器,将导致更绿色的互联网骨干网。我们的结论挑战了关于现有节能协议的共识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic concentration for a green Internet
Cooling equipment accounts for a sizable fraction of Internet energy footprint. Existing network design models, that assume a linear router power spectrum, are mislead by ignoring the impact of cooling consumption. In this paper, we make a case that the overall energy consumed by a router is polynomial to traffic demand and increases rapidly when the router is loaded. An energy-smart network design is thus formulated to mostly spread out traffic evenly among routers across the network. We further propose a heuristic and compare our design with popular traffic concentration model on two published backbone networks: NSFNET and AT&T. The simulation results reveal that our design saves at least 25% of the consumed energy, and the proposed heuristic closely matches the optimal results. Thus, mitigating network bottleneck routers, rather than creating ones, leads to a greener Internet backbone network. Our conclusions challenge the common wisdom about existing energy saving protocols.
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