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Cost-based Optimization for Video-on-Demand using Delayed-Multicast

机译:使用延迟组播的基于成本的视频点播优化

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This paper examines the issue of how to build a cost-effective system for delivering video-on-demand. Rather than simply utilizing buffer space to minimize aggregate bandwidth requirement from the server as is the common case in many previous works, we examine how to minimize the overall cost when amortized buffer cost and bandwidth cost are taken into account. An algorithm which minimizes this overall cost is presented along with simulation results comparing it with other schemes.
机译:本文探讨了如何构建一个经济高效的系统来提供视频点播的问题。与其像以前的许多工作中那样,不仅仅简单地利用缓冲区空间来最小化服务器的总带宽需求,我们还研究了在考虑摊销缓冲区成本和带宽成本的情况下如何最小化总体成本。提出了一种使总体成本最小化的算法,并将仿真结果与其他方案进行了比较。

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