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Cache-friendly Rate Adaptation for Dynamic Adaptive Streaming over HTTP (DASH)

机译:通过HTTP(DASH)进行动态自适应流式传输的高速缓存友好速率适配

摘要

The Internet in the recent years has seen a rapidly growing demand for multimedia content streaming. In order to deliver the streaming services to every corner of the Internet, HTTP streaming technologies have been widely adopted to replace the traditional RTSP/RTP streaming, due to the fact that HTTP streaming can avoid the issues arising from firewalls and NATs. Among the popular HTTP streaming technologies, Dynamic Adaptive Streaming over HTTP (DASH) has drawn the spotlights very recently.In this thesis, we make comprehensive studies on the HTTP streaming technologies and specifically on DASH. By investigating various aspects of the DASH technology together with its underlying protocol and CDN infrastructures, we are able to identify a major problem posed by CDN caches, which still limits the performance of DASH. After understanding the advantages and drawbacks of the solutions proposed by other researchers, we have devised a unique client side rate adaptation algorithm, hoping to improve the performance of DASH in CDN networks, with a simple solution. Multiple experiments are designed and conducted to test our proposed algorithm. By studying the experiment results, we reveal how DASH performs under various network conditions, and at the same time make some conclusion on the design principles of a DASH client rate adaptation algorithm. Apart from the related studies and the algorithm proposal, some criticism is also made at the end of this thesis, as part of our DASH research conclusion.
机译:近年来,互联网对多媒体内容流的需求迅速增长。为了将流媒体服务交付到Internet的每个角落,由于HTTP流媒体可以避免防火墙和NAT引起的问题,HTTP流媒体技术已被广泛采用以取代传统的RTSP / RTP流媒体。在众多流行的HTTP流技术中,基于HTTP的动态自适应流(DASH)引起了人们的关注。本文对HTTP流技术,尤其是DASH进行了全面的研究。通过研究DASH技术的各个方面及其基础协议和CDN基础结构,我们能够确定CDN缓存造成的主要问题,而这仍然限制了DASH的性能。在了解了其他研究人员提出的解决方案的优缺点之后,我们设计了一种独特的客户端速率适配算法,希望通过一种简单的解决方案来提高CDN网络中DASH的性能。设计并进行了多次实验,以测试我们提出的算法。通过研究实验结果,我们揭示了DASH在各种网络条件下的性能,同时就DASH客户速率自适应算法的设计原理得出了一些结论。除相关研究和算法建议外,本文最后还对我们的DASH研究结论进行了批评。

著录项

  • 作者

    He Yunfeng;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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