Modeling and Evaluation of a Metadata-Based Adaptive P2P Video-Streaming System
Modeling and Evaluation of a Metadata-Based Adaptive P2P Video-Streaming System
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DOI：
10.1093/comjnl/bxs110
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发表时间：
2013-05
期刊：
影响因子：
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通讯作者：
Razib Iqbal;S. Shirmohammadi;B. Hariri
中科院分区：
文献类型：
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作者：
Razib Iqbal;S. Shirmohammadi;B. Hariri
在本文中，我们提出了一个多父自适应视频流系统（MAVSS）。MAVSS是一个协作的视频流系统，基于对等（P2P）内容分发的概念，同时适应和流视频内容的异构用户。为了确保视频编解码器的独立性，我们强调结构化的，基于元数据的适应。因此，选择MPEG-21通用比特流语法描述来描述选择用于自适应操作的视频内容的部分。此外，如果没有最佳解决方案，就很难判断此类系统的效率。因此，在本文中，我们首先介绍了MAVSS的基本性质。然后，我们提出了一个数学模型的自适应流媒体系统，在这里我们定义为一个优化的成本函数，可以解决作为一个整数线性规划问题的有效流。该模型描述了影响资源贡献、资源利用率、负载均衡和服务公平性的各个参数之间的关系。我们使用这个模型来分析服务公平性和系统效率之间存在的权衡。
In this paper, we present a multi-parent adaptive video-streaming system (MAVSS). MAVSS is a cooperative video-streaming system, based on the peer-to-peer (P2P) content distribution concept, to simultaneously adapt and stream video contents to heterogeneous users. In order to ensure video codec independence, we emphasize on structured, metadata-based adaptation. Therefore, MPEG-21 generic Bitstream syntax description is chosen to describe the parts of the video contents selected for adaptation operations. Additionally, without an optimal solution, it is hard to judge the efficiency of such systems. Therefore, in this paper, we first present the fundamental properties of MAVSS. We then present a mathematical model of the adaptive streaming system, where we define efficient streaming as an optimization of a cost function that can be solved as an integer linear programming problem. The model illustrates the relation among all the parameters that affect the resource contribution, resource utilization, load balancing and service fairness. We use this model to analyze the trade-offs that exist between service fairness and system efficiency.