Media Streams Planning with Uncertain Link Capacities

Pavel Troubil, Hana Rudová, P. Holub
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引用次数: 3

Abstract

Interactive collaborative environments built upon high quality video applications require minimum capture-to-display latency to maintain feeling of natural communication. In practice, end users often encounter interruptions due to network congestion, which they could not avoid without knowledge of physical network infrastructure. We solve the problem of application level multipoint routing without assuming accurate knowledge of network link capacities, but rather relying on their estimates by network inference and bandwidth measurement tools. Our approach can handle uncertainties caused by both unreliable bandwidth measurements and unexpected capacity sharing. Support for on-the-fly transcoding of data streams on multicast agents allows per-recipient adaptation of video quality and bandwidth. We have implemented an ant colony optimization algorithm in the Co Universe middleware for orchestration of collaborative environments. Experiments show very good quality of results on most practical use cases and ability to solve significantly larger instances than optimal approaches based on mixed integer programming.
链路容量不确定的媒体流规划
建立在高质量视频应用程序之上的交互式协作环境需要最小的捕获到显示延迟,以保持自然通信的感觉。在实践中,终端用户经常会遇到由于网络拥塞而导致的中断,如果不了解物理网络基础设施,就无法避免这种中断。我们在解决应用层多点路由问题时,没有假设网络链路容量的准确知识,而是依靠网络推理和带宽测量工具对它们的估计。我们的方法可以处理由不可靠的带宽测量和意外的容量共享引起的不确定性。支持对多播代理上的数据流进行实时转码,允许每个接收方适应视频质量和带宽。我们在Co Universe中间件中实现了一个蚁群优化算法,用于编排协作环境。实验表明,与基于混合整数规划的最优方法相比,该方法在大多数实际用例上的结果质量非常好,并且能够解决更大的实例。
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