SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming
SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming
复制标题
SDNHAS：一种支持 SDN 的架构，用于优化 HTTP 自适应流媒体中的 QoE
DOI：
10.1109/tmm.2017.2733344
复制
发表时间：
2017-10-01
影响因子：
7.3
通讯作者：
Harous, Saad
中科院分区：
文献类型：
--
作者：
Bentaleb, Abdelhak;Begen, Ali C.;Harous, Saad
HTTP自适应流媒体(HAS)正受到工业界和学术界的极大关注，因为它已经成为在互联网上流媒体内容的事实上的方法。最近，我们提出了一种称为SDNDASH的流媒体体系结构[1]，以解决视频不稳定、体验质量不公平和网络资源利用不足等可伸缩性问题，同时最大化每个播放器的QOE。虽然SDNDASH是向前迈出的重要一步，但有三个尚未解决的限制：1)当HAS玩家数量增加时，它没有很好地扩展；2)它产生了通信开销；3)它没有解决客户的异构性。这些限制可能导致不理想的决定，从而导致观众的不满。为此，我们提出了一种增强的智能流媒体架构，称为SDNHAS，它利用软件定义的网络(SDN)功能来帮助HAS玩家做出更好的适应决策。该架构通过基于集群的机制适应大规模部署，减少了HAS播放器与SDN核心之间的通信开销，并在网络发生短期和长期变化的情况下有效地分配网络资源。
HTTP adaptive streaming (HAS) is receiving much attention from both industry and academia as it has become the de facto approach to stream media content over the Internet. Recently, we proposed a streaming architecture called SDNDASH [1] to address HAS scalability issues including video instability, quality of experience (QoE) unfairness, and network resource underutilization, while maximizing per player QoE. While SDNDASH was a significant step forward, there were three unresolved limitations: 1) it did not scale well when the number of HAS players increased; 2) it generated communication overhead; and 3) it did not address client heterogeneity. These limitations could result in suboptimal decisions that led to viewer dissatisfaction. To that effect, we propose an enhanced intelligent streaming architecture, called SDNHAS, which leverages software defined networking (SDN) capabilities of assisting HAS players in making better adaptation decisions. This architecture accommodates large-scale deployments through a cluster-based mechanism, reduces communication overhead between the HAS players and SDN core, and allocates the network resources effectively in the presence of short- and long-term changes in the network.