QoE Performance of Adaptive Video Streaming in Information Centric Networks
QoE Performance of Adaptive Video Streaming in Information Centric Networks
复制标题
信息中心网络中自适应视频流的 QoE 性能
DOI：
10.1109/lanman.2019.8846996
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Yamamoto Miki
中科院分区：
文献类型：
--
作者：
Goto Koki;Hayamizu Yusaku;Bandai Masaki;Yamamoto Miki
在MPEG-DASH（MPEG Dynamic Adaptive Streaming over HTTP）中使用的自适应比特率（Adaptive Bit Rate，ABR）中，已经提出了三种代表性的算法，即基于速率的算法、基于缓冲区的算法和基于混合的算法。在信息中心网络中，路由器通常配备有高速缓存存储器，信息中心网络作为用于包括视频流的高效内容分发的网络架构已经被广泛研究。当偶尔从路由器中的高速缓存存储器下载所需内容的一些片段时，从路由器下载内容可能比从原始内容服务器检索片段更快。这种不准确的吞吐量估计可能导致在用户的应用上运行的ABR算法的不适当的比特率选择和QoE（体验质量）性能的显著降级。在本文中，从QoE的角度来看，我们评估的影响，在网络缓存的三种类型的ABR算法在视频流。
In Adaptive Bit Rate (ABR) utilized in MPEG-DASH (MPEG Dynamic Adaptive Streaming over HTTP), there have been proposed three representative algorithms, rate-based, buffer-based and hybrid-based ones. In the information centric networks, which have been widely studied as a network architecture for efficient content distribution including video streaming, routers are generally equipped with cache storage. When some segments of a required content is occasionally downloaded from cache storage in a router, content download from a router might be faster than segment retrieval from the original content server. This inaccurate throughput estimation might lead to inappropriate bitrate selection of ABR algorithm running on the user's application and significant degradation of QoE (Quality of Experience) performance. In this paper, from the viewpoint of QoE, we evaluate the influence of in-network caches on three types of ABR algorithm in video streaming.