车载网络中HTTP/DASH自适应算法的评价

D. J. Vergados, A. Michalas, Katina Kralevska, D. Vergados
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引用次数: 7

摘要

视频流目前占互联网流量的大部分。启用视频流的一个因素是HTTP自适应流(HAS),它允许用户使用与服务器到客户端可用带宽密切匹配的比特率来传输视频。基于HTTP的MPEG动态自适应流(DASH)是一种广泛使用的标准,它允许客户端根据自己的估计选择要下载的分辨率。确定DASH流中下一段的算法不是标准的一部分,但它是最终播放质量的重要因素。如今,越来越多的汽车配备了移动通信设备和车载多媒体娱乐系统。在本文中,我们评估了各种DASH自适应算法在车辆网络中的性能。我们提供了详细的仿真结果,突出了各种自适应算法在向车载用户提供视频内容时的优缺点,并展示了不同的自适应算法在吞吐量、播放中断时间和中断次数方面的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of HTTP/DASH Adaptation Algorithms on Vehicular Networks
Video streaming currently accounts for the majority of Internet traffic. One factor that enables video streaming is HTTP Adaptive Streaming (HAS), that allows the users to stream video using a bit rate that closely matches the available band-width from the server to the client. MPEG Dynamic Adaptive Streaming over HTTP (DASH) is a widely used standard, that allows the clients to select the resolution to download based on their own estimations. The algorithm for determining the next segment in a DASH stream is not part of the standard, but it is an important factor in the resulting playback quality. Nowadays vehicles are increasingly equipped with mobile communication devices, and in-vehicle multimedia entertainment systems. In this paper, we evaluate the performance of various DASH adaptation algorithms over a vehicular network. We present detailed simulation results highlighting the advantages and disadvantages of various adaptation algorithms in delivering video content to vehicular users, and we show how the different adaptation algorithms perform in terms of throughput, playback interruption time, and number of interruptions.
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