An Adaptive Control Scheme for Deadline-aware Streaming

Yongbei Yang, Yuan Zhang, Yang Chen, Jinyao Yan
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Abstract

With increasing popularity on deadline-aware streaming service, how to deliver these multimedia data quickly and efficiently has become critical. Traditional transport protocols and congestion control schemes fail to meet expectations. On one hand, the traditional transport protocols like TCP are far away from minimizing the queuing delay. On the other hand, existing congestion control schemes is limited in transport layer, resulting in the neglect of features and deadline requirements in application layer. To address these issues, we propose a Heuristic Delay-based Adaptive Scheme, namely HDAS, based on Deadline-aware Transport Protocol (DTP). HDAS not only adjusts the window size and sending rate according to the network feedback but also schedules packets to improve the overall Quality of Experience (QoE). The proposed scheme adopts delay-based adaptive adjustment for congestion control and greedy strategy for scheduler. Extensive simulations demonstrate that our scheme outperforms most of the existing schemes on overall QoE.
一种截止日期感知流的自适应控制方案
随着时间感知流媒体服务的日益普及,如何快速高效地传输这些多媒体数据变得至关重要。传统的传输协议和拥塞控制方案不能满足期望。一方面,传统的传输协议如TCP在最小化排队延迟方面做得还远远不够。另一方面,现有的拥塞控制方案局限于传输层,导致忽略了应用层的特征和截止时间要求。为了解决这些问题,我们提出了一种基于截止日期感知传输协议(DTP)的启发式延迟自适应方案,即HDAS。HDAS不仅可以根据网络反馈调整窗口大小和发送速率,还可以对数据包进行调度,以提高整体的体验质量(QoE)。该方案对拥塞控制采用基于延迟的自适应调整,对调度程序采用贪心策略。大量的仿真表明,我们的方案在总体QoE上优于大多数现有方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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