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Maximizing streaming flows based on a novel video streaming framework

机译:基于新颖的视频流媒体框架最大化流媒体流量

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Video streaming is a kind of bandwidth hungry application. As a consequence, the number of streaming flows may be restricted. In this paper, a novel video streaming framework is designed, where multiple NVSs (Network Video Servers) form into a server group to collaboratively provide quality services. A novel problem - Maximum Streaming Flows (MSF), aiming to maximize the number of simultaneously online users is proposed. This problem is proved to be NP-Complete and can be simplified to MSF-2 by adding relays restriction. We design a (1 − ε) approximation algorithm, where ε is a constant which tends to be infinitesimal with the increasing number of successful streamed flows. We conduct extensive simulations to show the effectiveness of the methods proposed as compared with several traditional solutions.
机译:视频流是一种带宽匮乏的应用程序。结果,流流的数量可能受到限制。在本文中,设计了一种新颖的视频流框架,其中多个NVS(网络视频服务器)形成一个服务器组,以协作提供优质的服务。提出了一个新的问题-最大流流量(MSF),旨在最大化同时在线用户的数量。事实证明,此问题是NP完全的,可以通过添加中继限制来简化为MSF-2。我们设计了一种(1-ε)近似算法,其中ε是一个常数,随着成功流的数量增加,该常数趋于无穷小。我们进行了广泛的仿真,以显示与几种传统解决方案相比,所提出方法的有效性。

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