Cost-Aware Capacity Provisioning for Internet Video Streaming CDNs
Cost-Aware Capacity Provisioning for Internet Video Streaming CDNs
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DOI：
10.1093/comjnl/bxv015
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发表时间：
2015-12
期刊：
影响因子：
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通讯作者：
Huajun He;Yang Zhao;Jinfu Wu;Ye Tian
中科院分区：
文献类型：
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作者：
Huajun He;Yang Zhao;Jinfu Wu;Ye Tian
随着互联网视频流媒体服务（如YouTube和Netflix）的日益普及，内容分发网络（cdn）被大量用于向用户传输视频内容，近年来消耗越来越多的功率和带宽。本文研究了视频流CDN的运营成本节约问题，包括能源成本和流量成本。为了解决这一问题，我们提出了一种成本感知的容量分配算法，该算法动态规划CDN服务器集群在多个isp中的服务容量，并从能耗和跨isp流量两方面优化其总体运营成本。通过使用来自实际测量的工作负载并应用实际功率和带宽价格参数，我们通过实验表明，我们的方法可以显着降低视频流CDN的总体运营成本，并有效地避免频繁的服务器切换。据我们所知，这项工作是第一个确定并解决CDN能源效率与其isp友好政策之间固有冲突的工作。
With the increasing popularity of the Internet video streaming services (e.g. YouTube and Netflix), content delivery networks (CDNs) are heavily used to stream video contents to users, and consume more and more power and bandwidths in recent years. In this paper, we investigate the problem of saving a video streaming CDN’s operating expense, including both its energy cost and the traffic cost. From our measurement study on the CDN infrastructure of Youku, which is the largest video site in China, we find that there exists an inherent conflict between improving a video streaming CDN’s energy efficiency for power saving, and maintaining the CDN’s ISP-friendly server selection policy. To address this problem, we propose a cost-aware capacity provisioning algorithm, which dynamically plans the service capacities of a CDN’s server clusters in numerous ISPs, and optimizes its overall operating cost regarding both the energy consumptions and the cross-ISP traffics. By using the workload derived from real-world measurement and applying actual power and bandwidth price parameters, we show with experiments that our approach can significantly reduce a video streaming CDN’s overall operating cost, and avoid frequent server switches effectively. To our best knowledge, this work is the first one that identifies and resolves the inherent conflict between a CDN’s energy efficiency and its ISP-friendly policy.