An Edge and Fog Computing Platform for Effective Deployment of 360 Video Applications

G. Rigazzi, Jani-Pekka Kainulainen, C. Turyagyenda, Alain A. M. Mourad, Jaehyun Ahn
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引用次数: 12

Abstract

Immersive video applications based on 360 video streaming require high-bandwidth, high-reliability and low-latency 5G connectivity but also flexible, low-latency and cost-effective computing deployment. This paper proposes a novel solution for decomposing and distributing the end-to-end 360 video streaming service across three computing tiers, namely cloud, edge and constrained fog, in order of proximity to the end user client. The streaming service is aided with an adaptive viewport technique. The proposed solution is based on the H2020 5G-CORAL system architecture using micro-services-based design and a unified orchestration and control across all three tiers based on Fog05. Performance evaluation of the proposed solution shows noticeable reduction in bandwidth consumption, energy consumption, and deployment costs, as compared to a solution where the streaming service is all delivered out of one computing location such as the Cloud.
有效部署360视频应用的边缘和雾计算平台
基于360视频流的沉浸式视频应用不仅需要高带宽、高可靠性和低延迟的5G连接,还需要灵活、低延迟和经济高效的计算部署。本文提出了一种新的解决方案,将端到端360视频流服务按接近终端用户客户端的顺序,在云、边缘和约束雾三个计算层进行分解和分发。流媒体服务是辅助自适应视口技术。提出的解决方案基于H2020 5G-CORAL系统架构,采用基于微服务的设计和基于Fog05的三层统一编排和控制。与所有流媒体服务都从一个计算位置(如云)交付的解决方案相比,所提议的解决方案的性能评估显示,在带宽消耗、能源消耗和部署成本方面明显减少。
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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