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首页> 外文期刊>IEICE Transactions on Communications >Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality
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Power Consumption Evaluation of Distributed Computing Network Considering Traffic Locality

机译:考虑流量局部性的分布式计算网络功耗评估

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摘要

When computing resources are consolidated in a few huge data centers, a massive amount of data is transferred to each data center over a wide area network (WAN). This results in increased power consumption in the WAN. A distributed computing network (DCN), such as a content delivery network, can reduce the traffic from/to the data center, thereby decreasing the power consumed in the WAN. In this paper, we focus on the energy-saving aspect of the DCN and evaluate its effectiveness, especially considering traffic locality, i.e., the amount of traffic related to the geographical vicinity. We first formulate the problem of optimizing the DCN power consumption and describe the DCN in detail. Then, numerical evaluations show that, when there is strong traffic locality and the router has ideal energy proportionality, the system's power consumption is reduced to about 50% of the power consumed in the case where a DCN is not used; moreover, this advantage becomes even larger (up to about 30%) when the data center is located farthest from the center of the network topology.
机译:当将计算资源整合到几个大型数据中心中时,大量数据会通过广域网(WAN)传输到每个数据中心。这导致WAN中的功耗增加。诸如内容传递网络之类的分布式计算网络(DCN)可以减少往返于数据中心的流量,从而减少WAN中的功耗。在本文中,我们着重于DCN的节能方面,并评估其有效性,尤其是考虑到交通的地理位置,即与地理位置相关的交通量。我们首先提出优化DCN功耗的问题,并详细描述DCN。然后,数值评估表明,当流量局部性很强并且路由器具有理想的能量比例时,系统的功耗将减少到不使用DCN时功耗的50%左右;此外,当数据中心位于距网络拓扑中心最远的位置时,此优势变得更大(最多约30%)。

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