论文标题
用于优化视频流服务的经验意识的跨层体系结构的质量
A quality of experience-aware cross-layer architecture for optimizing video streaming services
论文作者
论文摘要
互联网上视频服务的普及已经发展了针对体验质量（QOE）视频流量的各种机制。通过调整发送比特率，可以提高视频质量。但是，仅当速率适应不足以在发生拥堵时保持良好的视频QOE。本文介绍了一个跨层架构，用于视频流，这是Qoe-Aware的。它结合了视频应用程序的适应能力和Qoe-Awaine录取控制，以优化QoE与录取会议数量之间的权衡关系。模拟结果表明，与其他两个架构（自适应体系结构和非自适应体系结构）相比，拟议体系结构的效率和会话数量的效率。
The popularity of the video services on the Internet has evolved various mechanisms that target the Quality of Experience (QoE) optimization of video traffic. The video quality has been enhanced through adapting the sending bitrates. However, rate adaptation alone is not sufficient for maintaining a good video QoE when congestion occurs. This paper presents a cross-layer architecture for video streaming that is QoE-aware. It combines adaptation capabilities of video applications and QoE-aware admission control to optimize the trade-off relationship between QoE and the number of admitted sessions. Simulation results showed the efficiency of the proposed architecture in terms of QoE and number of sessions compared to two other architectures (adaptive architecture and non-adaptive architecture).
