F-FDN:低延迟视频流的雾计算系统联盟

Vaughan Veillon, Chavit Denninnart, M. Salehi
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引用次数: 21

摘要

视频流越来越受欢迎,已经成为最消耗带宽的互联网服务。因此,在低延迟和不间断的流媒体体验方面,特别是对于偏远地区的观众来说,强大的流媒体已经成为一项挑战。减少延迟的常见做法是预处理每个视频的多个版本,并使用内容交付网络(CDN)缓存某个地理区域中流行的视频。然而,随着视频存储库规模的快速增长,在每个CDN上以多个版本缓存视频内容变得低效。因此,在本文中,我们提出了雾交付网络(FDN)的体系结构,并提供了联合它们(称为F-FDN)的方法,以减少视频流延迟。除了缓存之外,fdn还可以按需处理视频。F-FDN利用相邻fdn上的缓存内容来进一步减少延迟。特别是,F-FDN配备了旨在通过概率评估从相邻fdn获取视频片段或通过处理视频片段的成本效益来减少延迟的方法。针对其他流媒体方法的实验结果表明,按需处理和在相邻fdn上利用缓存的视频片段都可以显著降低流媒体延迟(平均降低52%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
F-FDN: Federation of Fog Computing Systems for Low Latency Video Streaming
Video streaming is growing in popularity and has become the most bandwidth-consuming Internet service. As such, robust streaming in terms of low latency and uninterrupted streaming experience, particularly for viewers in distant areas, has become a challenge. The common practice to reduce latency is to pre-process multiple versions of each video and use Content Delivery Networks (CDN) to cache videos that are popular in a geographical area. However, with the fast-growing video repository sizes, caching video contents in multiple versions on each CDN is becoming inefficient. Accordingly, in this paper, we propose the architecture for Fog Delivery Networks (FDN) and provide methods to federate them (called F-FDN) to reduce video streaming latency. In addition to caching, FDNs have the ability to process videos in an on-demand manner. F-FDN leverages cached contents on the neighboring FDNs to further reduce latency. In particular, F-FDN is equipped with methods that aim at reducing latency through probabilistically evaluating the cost benefit of fetching video segments either from neighboring FDNs or by processing them. Experimental results against alternative streaming methods show that both on-demand processing and leveraging cached video segments on neighboring FDNs can remarkably reduce streaming latency (on average 52%).
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