How Modeling QoE Requirements Using Game Theory

T. Abar, Asma BEN LETAIFA, S. E. Asmi
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引用次数: 3

Abstract

In the 2000s, networks were increasingly used to provide multimedia content to a wide audience that are based on HTTP. Streaming based mainly on standard UDP protocol becomes unable to meet the growing needs of users. So a novel concept that evolved widely at the international level in 2007 was introduced: adaptive streaming based on HTTP that make us it possible to use the video playback application present on the terminal to supervise the downloading speed and to ask for packets of variable quality by adapting automatically to the conditions of the available network. DASH, Dynamic Adaptive Streaming over HTTP, is the latest standard for adaptive streaming of video. This technique introduces an additional level of complexity for measuring perceived video quality, as it varies the video bit rate. In this work we try to introduce the principle of DASH with the intelligence and automation of SDN networks to improve streaming video experience quality which is the main goal of all service providers. In this article we model the game between SDN, DASH and user opinion using a Game theory, at the end we make a small analysis of the effect of DASH on the quality of experience.
如何用博弈论建模QoE需求
在2000年代,网络越来越多地用于向基于HTTP的广泛受众提供多媒体内容。主要基于标准UDP协议的流媒体已经无法满足用户日益增长的需求。因此,2007年在国际上广泛发展的一个新概念被引入:基于HTTP的自适应流媒体,它使我们能够使用终端上的视频播放应用程序来监督下载速度,并通过自动适应可用网络的条件来请求可变质量的数据包。DASH, HTTP动态自适应流,是自适应视频流的最新标准。这种技术为测量感知视频质量带来了额外的复杂性,因为它改变了视频比特率。在这项工作中,我们尝试将DASH原理与SDN网络的智能化和自动化相结合,以提高流媒体视频体验质量,这是所有服务提供商的主要目标。本文运用博弈论建立了SDN、DASH和用户意见三者之间的博弈模型,并对DASH对用户体验质量的影响进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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