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Stochastic modelling and analysis of video on demand system with VCR functionalities

机译:具有VCR功能的视频点播系统的随机建模和分析

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Recently multimedia streaming applications have become popular for the dissemination of video content both for academic and commercial purposes. Large scale dissemination of video streaming with an acceptable Quality of Service (QoS) is challenging due to non-uniform, dynamically changing and best-effort services provided by the underlying Internet. This challenge becomes multifold when VCR functionalities such as Jump, Back, Stop, Pause etc. are also provided with video streaming applications. In this paper, we present the stochastic modelling and analysis of a distributed VoD (Video on Demand) streaming application with VCR functionalities to reason about desired network characteristics for acceptable QoS. We use a simple VoD system with centralised server as our basic example. We model this system as Continuous Time Markov Chain (CTMC) process and utilize PRISM model checker for the analysis. The analysis is performed in terms of throughput, end-to-end delay, jitter, error rate and frame loss rate. This analysis provides a basis to decide the threshold of loss rate of underlying network for an acceptable QoS.
机译:近来,多媒体流应用程序已经变得流行,以用于学术和商业目的的视频内容的分发。由于底层互联网提供的服务不均匀,动态变化且尽力而为,具有可接受的服务质量(QoS)的视频流的大规模传播是一项挑战。当视频流应用程序还提供了VCR功能(如跳转,后退,停止,暂停等)时,这一挑战将变得更加复杂。在本文中,我们介绍了具有VCR功能的分布式VoD(视频点播)流应用程序的随机建模和分析,以推断出可接受的QoS所需的网络特性。我们使用带有集中式服务器的简单VoD系统作为基本示例。我们将此系统建模为连续时间马尔可夫链(CTMC)流程,并利用PRISM模型检查器进行分析。根据吞吐量,端到端延迟,抖动,错误率和帧丢失率进行分析。该分析提供了确定可接受的QoS的基础网络的丢失率阈值的基础。

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