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Towards peer-assisted dynamic adaptive streaming over HTTP

机译:通过HTTP实现对等辅助的动态自适应流

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This paper presents our peer-assisted Dynamic Adaptive Streaming over HTTP (pDASH) proposal as well as an evaluation based on our DASH simulation environment in comparison to conventional approaches, i.e., non-peer-assisted DASH. Our approach maintains the standard conformance to MPEG-DASH enabling an easy and straightforward way of enhancing a streaming system with peer assistance to reduce the bandwidth and infrastructure requirements of the content/service provider. In anticipation of the results our system achieves a bandwidth reduction of Content Distribution Networks (CDN) and as a consequence the corresponding infrastructure costs of the content/service providers by up to 25% by leveraging the upstream capacity of neighboring peers. Furthermore, the cost savings have been evaluated using a cost model that is based on the current Amazon CloudFront pricing scheme. Furthermore, we have also evaluated the performance impact that various combinations of quality levels of the content could have in a peer-assisted streaming system as well as the client behavior in such an environment.
机译:本文介绍了我们的基于HTTP的对等辅助动态自适应流(pDASH)提案,以及与传统方法(即非对等辅助DASH)相比基于DASH模拟环境的评估。我们的方法保持了与MPEG-DASH的标准一致性,从而通过一种简单而直接的方式来增强对流系统的支持,并提供了对等协助,以减少内容/服务提供商的带宽和基础架构要求。预期结果,我们的系统实现了内容分发网络(CDN)带宽的减少,因此,内容/服务提供商的相应基础架构成本通过利用相邻对等方的上游容量而降低了25%。此外,已使用基于当前Amazon CloudFront定价方案的成本模型对成本节省进行了评估。此外,我们还评估了对等辅助流系统中内容质量级别的各种组合可能带来的性能影响,以及这种环境下的客户端行为。

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