An Edge and Fog Computing Platform for Effective Deployment of 360 Video Applications
Autor: | Jani-Pekka Kainulainen, Alain Mourad, Charles Turyagyenda, Giovanni Rigazzi, Jaehyun Ahn |
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Přispěvatelé: | European Commission |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Viewport
Telecomunicaciones Computer science business.industry Distributed computing 010401 analytical chemistry 020206 networking & telecommunications Cloud computing 02 engineering and technology Energy consumption Edge computing 01 natural sciences 7. Clean energy 0104 chemical sciences eMBB Software deployment 360 video 0202 electrical engineering electronic engineering information engineering Systems architecture Fog computing Enhanced Data Rates for GSM Evolution Orchestration (computing) business |
Zdroj: | WCNC Workshops e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname |
Popis: | This paper has been presented at: Seventh International Workshop on Cloud Technologies and Energy Efficiency in Mobile Communication Networks (CLEEN 2019). How cloudy and green will mobile network and services be? 15 April 2019 - Marrakech, Morocco In press / En prensa Immersive video applications based on 360 video streaming require high-bandwidth, high-reliability and lowlatency 5G connectivity but also flexible, low-latency and costeffective 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. This work has been partially funded by the H2020 collaborative Europe/Taiwan research project 5G-CORAL (grant num. 761586). |
Databáze: | OpenAIRE |
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