多媒体流到便携式设备时的贪婪管理机制

Edward Casey, Gabriel-Miro Muntean
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引用次数: 1

摘要

大多数流解决方案使用基于拥塞避免机制的速率适应,试图从有限的网络资源中获得尽可能多的带宽。如果我们假设所有客户端都有相同的需求,这是很好的。然而,这种情况很少发生,因为设备具有独特的特性(例如屏幕尺寸,屏幕分辨率,位置等),这些特性会影响流相关参数,从而影响最终用户获得的体验。由于流协议固有的贪婪和对用户设备特性的缺乏了解,这可能导致某些设备接收到比实际需要更高的带宽共享,而其他设备接收到的带宽不够,从而影响用户的感知质量。因此,有必要允许客户差异化,以便为所有客户提供可接受的服务,同时考虑到他们的设备特性。本文提出了一种贪婪控制算法(GCA),该算法是一种专门设计的应用层解决方案,它根据客户端优先级对多媒体流的贪婪度进行调整,以更有效地利用无线网络,提高用户的整体感知质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Mechanism for Greediness Management when Streaming Multimedia to Portable Devices
The majority of streaming solutions use rate adaptation based on congestion avoidance mechanisms that try to obtain as much bandwidth as possible from the limited network resources. This is good if we assume that all clients have equal requirements. However, this is rarely the case as devices have unique characteristics (e.g. screen size, screen resolution, location, etc.) that influence streaming related parameters and consequently the experience obtained by the end user. Due to the inherent greediness of streaming protocols and lack of knowledge about the characteristics of the users device, this may result in certain devices receiving higher bandwidth share than they actually need and others not receiving enough, affecting the users perceived quality. Therefore there is a need to allow for client differentiation in order to provide an acceptable service for all clients, taking their device characteristics into account. This paper proposes a greediness control algorithm (GCA), a specially designed application layer solution that tunes the greediness of the multimedia streaming based on client priority, to make more efficient use of the wireless network and increase the overall user perceived quality.
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