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A scalable video-on-demand system using multi-batch buffering techniques

机译:使用多批缓冲技术的可伸缩视频点播系统

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A video-on-demand (VoD) system delivers videos on demand over an installed network. Due to the large size of digitized videos, expensive video servers with high I/O capability are needed in order to provide VoD services in metropolitan areas. In addition, there is a great need for efficient networking distribution/interaction schemes so that the video servers can serve as many clients as possible. In particular, because of scalability problems, the classical unicast VoD system is not suitable for large-scale deployments. In this paper, a highly scalable VoD system with a low per-user cost is described and evaluated. We first analyze the performance degradation problems using recently proposed VoD systems, namely batched and centralized-buffer VoD systems that occur during the handling of interactions. Then a new system called the multi-batch buffer (MBB) system, which attempts to solve these problems, is proposed. The proposed system handles a majority of interaction requests by scalable buffering techniques employed in the buffer of the local servers and the set-top boxes (STB). We have performed extensive simulation for the analysis and performance evaluation of our proposed VoD system. The simulation results demonstrate that our VoD system is very scalable and outperforms related state-of-the-art VoD systems.
机译:视频点播(VoD)系统通过已安装的网络按需提供视频。由于数字化视频的大小很大,因此需要昂贵的具有高I / O功能的视频服务器,以便在大都市地区提供VoD服务。另外,非常需要有效的网络分配/交互方案,以便视频服务器可以为尽可能多的客户端提供服务。尤其是,由于可伸缩性问题,传统的单播VoD系统不适合大规模部署。在本文中,描述并评估了一种具有高可扩展性的VoD系统,该系统具有较低的每用户成本。我们首先使用最近提出的VoD系统来分析性能下降问题,即在交互处理期间发生的批处理和集中式缓冲区VoD系统。然后提出了一种新的系统,称为多批缓冲区(MBB)系统,试图解决这些问题。所提出的系统通过在本地服务器和机顶盒(STB)的缓冲区中采用的可伸缩缓冲技术来处理大多数交互请求。我们已经对拟议的VoD系统进行了广泛的仿真,以进行分析和性能评估。仿真结果表明,我们的VoD系统具有很好的可扩展性,并且胜过了相关的最新VoD系统。

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