支持设备自适应大媒体供应的可扩展云边缘计算框架

A. Galletta, A. Cuzzocrea, A. Celesti, M. Fazio, M. Villari
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引用次数: 4

摘要

如今,我们正在观察到从社交媒体(Periscope, Facebook, Youtube等)和火车/客车所有者(Trenitalia-Frecce-Italy, TGV-France, Ryanair-Bus-Travels等)等多种来源录制和传输视频的爆炸式增长。在本文中,我们研究了如何支持在不同环境下向异构终端用户设备提供视频,使内容适应所使用的终端设备的特定需求。特别地,我们提出了一种新的云边缘服务视频交付(CESIO)架构,它利用云和边缘虚拟资源来改进不同质量分辨率下的视频内容交付。本文描述了体系结构组件及其在系统中的行为。此外,还讨论了一个可能的应用场景,以很好地解释所建议的解决方案是如何工作的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Scalable Cloud-Edge Computing Framework for Supporting Device-Adaptive Big Media Provisioning
Nowadays, we are observing an explosion on recording and transmitting of videos from multiple sources such as Social Media (Periscope, Facebook, Youtube etc.) and owner of trains/coaches (Trenitalia-Frecce-Italy, TGV-France, Ryanair-Bus-Travels, etc.). In this paper, we investigate how to support the provisioning of videos to heterogeneous end user devices in different contexts, adapting the content to the specific requirements of the used end devices. In particular, we present a new Cloud-Edge Service for vIdeO delivery (CESIO) architecture, that exploits Cloud and Edge virtual resources to improve the delivery video contents at different quality resolutions. The paper describes architecture components and their behaviour in the system. Moreover, a possible application scenario is discussed to well explain how the proposed solution works.
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