Congestion-aware internet pricing for media streaming

Di Niu, Baochun Li
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引用次数: 14

Abstract

Media webcasting and conferencing that involve many geographically distributed participants contribute significantly to congestion in the Internet. The current usage-based data pricing model does not take into account the hidden cost imposed by media streaming in the Internet core, including the network cost of replicating and relaying traffic in video multicast, and could potentially exacerbate congestion. In lieu of the recently emerged content sponsoring, in this paper, we present a simple congestion pricing model for ISPs (e.g. Comcast) to charge media streaming operators (e.g. Netflix) based on the bandwidth-delay product on each overlay link (either server-to-server or server-to-user) that the media streaming operator has chosen to use. The proposed pricing policy incentivizes different media streaming applications to collectively reduce their “waiting packets” in the Internet, alleviating congestion. We formulate the min-cost single and multiple multicast problems for the applications to construct their streaming overlays, based on a dense pool of CDN nodes. An efficient EM algorithm is given to solve the proposed geometric optimization problem and is evaluated through simulations.
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流媒体的网络拥堵定价
涉及许多地理上分散的参与者的媒体网络广播和会议严重地造成了因特网的拥塞。当前基于使用的数据定价模型没有考虑到互联网核心媒体流所带来的隐藏成本,包括视频多播中复制和中继流量的网络成本,并且可能潜在地加剧拥塞。代替最近出现的内容赞助,在本文中,我们提出了一个简单的拥塞定价模型,供互联网服务提供商(例如康卡斯特)根据流媒体运营商选择使用的每个覆盖链接(服务器到服务器或服务器到用户)上的带宽延迟产品向流媒体运营商(例如Netflix)收费。拟议的定价政策鼓励不同的流媒体应用程序共同减少其在互联网上的“等待数据包”,从而缓解拥塞。基于密集的CDN节点池,我们提出了最小代价的单组播和多组播问题,用于应用程序构建其流覆盖。给出了一种有效的电磁算法来解决所提出的几何优化问题,并通过仿真进行了评价。
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