用于交互式媒体和视频流的边缘计算

Kashif Bilal, A. Erbad
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引用次数: 76

摘要

视频流媒体和电脑游戏是互联网上最受欢迎、带宽消耗最高的媒体。如今,视频内容消耗了互联网总带宽的70%左右。媒体生成工具的进步、高处理能力和高速连接使实时、交互式、多视图媒体生成成为可能。认知辅助和在线多人游戏为游戏体验打开了新的视野。然而,这种互动游戏、多视角和360度视角视频目前受到延迟不容忍和过多带宽使用的限制。边缘计算是一组新技术的统称,如云计算、微数据中心、雾、移动边缘计算等。它旨在为网络边缘的用户提供存储和计算资源,以最大限度地减少延迟和响应时间。边缘计算通过扩展网络末端的云服务和资源,提供极低延迟和实时通信,被预见为万物互联(IoET)时代的重要推动者。它可以为视频和游戏应用提供重要的服务,开启交互式多媒体时代的新流。在本文中,我们重点介绍了交互式媒体边缘计算的一些潜力和前景,并介绍了该领域的一些初步工作。我们将阐明如何使用边缘计算来解决当今交互式媒体应用程序所面临的各种挑战。我们还介绍了在多媒体应用程序、视频流和转码中使用边缘计算节省成本、带宽和能源的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge computing for interactive media and video streaming
Video streaming and computer games are among the most popular and highest bandwidth consuming media in the Internet. Video contents consume around 70% of the total bandwidth usage in the Internet today. Advancements in media generation tools, high processing power, and high speed connectivity have enabled generation of live, interactive, multi-view media generation. Cognitive assisted and online multi-player gaming have unlocked new horizons for gaming experience. However, such interactive gaming, and multi-view and 360-degree view videos, are currently limited by delay intolerance and excessive bandwidth usage. Edge computing is the name of a set of new technologies, such as cloudlets, micro data centers, fog, and mobile edge computing. It aims to provide storage and computational resources near to user at the network edge, to minimize latency and response time. Edge computing is foreseen as a significant enabler of Internet of Every Thing (IoET) era by extending the cloud services and resources at the end of the network to deliver very low latency and real-time communication. It can provide significant services to video and gaming applications and enable new stream of interactive multimedia era. In this paper, we highlight some of the potentials and prospects of edge computing for interactive media, and present some preliminary works in the area. We shed light on how edge computing can be used to tackle various challenges faced by todays interactive media application. We also present the benefits of using edge computing to save cost, bandwidth, and energy in multimedia applications, video streaming, and transcoding.
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