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Energy-Efficient VoD content delivery and replication in integrated metro/access networks

机译:集成城域/接入网中的节能VoD内容交付和复制

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摘要

Today's growth in the demand for access bandwidth is driven by the success of the Video-on-Demand (VoD) bandwidth-consuming service. At the current pace at which network operators increase the end users' access bandwidth, and with the current network infrastructure, a large amount of video traffic is expected to flood the core/metro segments of the network in the near future, with the consequent risk of congestion and network disruption. There is a growing body of research studying the migration of content towards the users. Further, the current trend towards the integration of metro and access segments of the network makes it possible to deploy Metro Servers (MSes) that may serve video content directly from the novel integrated metro/access segment to keep the VoD traffic as local as possible. This paper investigates a potential risk of this solution, which is the increase in the overall network energy consumption. First, we identify a detailed power model for network equipment and MSes, accounting for fixed and load-proportional contributions. Then, we define a novel strategy for controlling whether to switch MSes and network interfaces on and off so as to strike a balance between the energy consumption for content transport through the network and the energy consumption for processing and storage in the MSes. By means of simulations and taking into account real values for the equipment power consumption, we show that our strategy is effective in providing the least energy consumption for any given traffic load.
机译:视频点播(VoD)带宽消耗服务的成功推动了当今对访问带宽需求的增长。以当前网络运营商增加最终用户访问带宽的速度以及当前的网络基础结构,预计在不久的将来大量视频流量将淹没网络的核心/城域网,从而带来风险拥塞和网络中断。越来越多的研究机构研究内容向用户的迁移。此外,当前向网络的城域和接入段集成的趋势使得可以部署可以直接从新颖的集成城域/接入段提供视频内容的城域服务器(MSes),以使VoD流量尽可能地保持本地。本文研究了此解决方案的潜在风险,即整体网络能耗的增加。首先,我们确定了网络设备和MS的详细功率模型,并考虑了固定和负载比例的影响。然后,我们定义了一种新颖的策略来控制是否打开和关闭MS和网络接口,以便在通过网络传输内容的能耗与在MSes中进行处理和存储的能耗之间取得平衡。通过仿真并考虑设备功耗的实际值,我们证明了我们的策略可有效地为任何给定的流量负载提供最低的能耗。

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