Distributed Collaboration for Enhanced Sender-Driven Video Streaming
Distributed Collaboration for Enhanced Sender-Driven Video Streaming
复制标题
分布式协作以增强发送者驱动的视频流
DOI：
--
复制
发表时间：
2008
影响因子：
7.3
通讯作者：
P. Frossard
中科院分区：
文献类型：
--
作者：
Jacob Chakareski;P. Frossard
我们提出了一个发送端驱动的系统，用于通过单独的网络路径从多个服务器到单个接收器的自适应流。服务器采用接收器反馈中的信息来估计路径上的可用带宽，然后基于带宽估计来计算用于将媒体分组流传输到接收器的适当传输调度。提出了一种优化框架，使网络能够以分布式方式计算它们的传输时间表，并且还能够随着时间的推移动态地协调它们，使得在接收器处得到的视频质量最大化。为了降低优化框架的计算复杂度，提出了一种基于分组分类的替代技术。由于所得到的数据包划分的在线复杂性的大幅降低，使得该技术适合于自适应和高效的分布式流系统的实际实现。仿真实验表明，该方法能有效地适应带宽变化和数据包丢失。他们表明，所提出的流框架提供了上级性能优于传统的失真不可知的计划，该计划执行成比例的数据包调度的网络路径上，根据各自的带宽值。
We propose a sender-driven system for adaptive streaming from multiple servers to a single receiver over separate network paths. The servers employ information in receiver feedbacks to estimate the available bandwidth on the paths and then compute appropriate transmission schedules for streaming media packets to the receiver based on the bandwidth estimates. An optimization framework is proposed that enables the senders to compute their transmission schedules in a distributed way, and yet to dynamically coordinate them over time such that the resulting video quality at the receiver is maximized. To reduce the computational complexity of the optimization framework an alternative technique based on packet classification is proposed. The substantial reduction in online complexity due to the resulting packet partitioning makes the technique suitable for practical implementations of adaptive and efficient distributed streaming systems. Simulations with Internet network traces demonstrate that the proposed solution adapts effectively to bandwidth variations and packet loss. They show that the proposed streaming framework provides superior performance over a conventional distortion-agnostic scheme that performs proportional packet scheduling on the network paths according to their respective bandwidth values.