Design and Verification of oneM2M Based Fog Computing Architecture

碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 107 === According to the existing oneM2M IoT architecture, the transmission time of high-resolution image data between edge nodes is 251.2~537.2ms, so the transmission efficiency will not be able bound to meet the requirements of low latency and fast response applic...

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Main Authors: Chun-Huang Chen, 陳俊煌
Other Authors: Sheng-Dong Xu
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/zbf364
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spelling ndltd-TW-107NTUS51460012019-05-16T01:40:46Z http://ndltd.ncl.edu.tw/handle/zbf364 Design and Verification of oneM2M Based Fog Computing Architecture oneM2M霧運算架構之設計與驗證 Chun-Huang Chen 陳俊煌 碩士 國立臺灣科技大學 自動化及控制研究所 107 According to the existing oneM2M IoT architecture, the transmission time of high-resolution image data between edge nodes is 251.2~537.2ms, so the transmission efficiency will not be able bound to meet the requirements of low latency and fast response application. We propose a novel method called the oneM2M fog computing architecture. Under this architecture, it can communicate with adjacent fog nodes to coordinate and collaborate on job requirements, so they are no longer limited to node-to-task execution capabilities or need to forward tasks to the cloud for execution. Finally, after practical and test verification, The computing architecture proposed in this paper can make the transmission time of high resolution image data between fog and fog nodes only cost 16.7~46.2ms, and shorten the transmission time of the original oneM2M architecture by up to 94.1%. In summary, such an approach would minimize overall end-to-end latency and meet the need for low latency and fast response applications for fog to fog computing. Sheng-Dong Xu 徐勝均 2018 學位論文 ; thesis 82 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 107 === According to the existing oneM2M IoT architecture, the transmission time of high-resolution image data between edge nodes is 251.2~537.2ms, so the transmission efficiency will not be able bound to meet the requirements of low latency and fast response application. We propose a novel method called the oneM2M fog computing architecture. Under this architecture, it can communicate with adjacent fog nodes to coordinate and collaborate on job requirements, so they are no longer limited to node-to-task execution capabilities or need to forward tasks to the cloud for execution. Finally, after practical and test verification, The computing architecture proposed in this paper can make the transmission time of high resolution image data between fog and fog nodes only cost 16.7~46.2ms, and shorten the transmission time of the original oneM2M architecture by up to 94.1%. In summary, such an approach would minimize overall end-to-end latency and meet the need for low latency and fast response applications for fog to fog computing.
author2 Sheng-Dong Xu
author_facet Sheng-Dong Xu
Chun-Huang Chen
陳俊煌
author Chun-Huang Chen
陳俊煌
spellingShingle Chun-Huang Chen
陳俊煌
Design and Verification of oneM2M Based Fog Computing Architecture
author_sort Chun-Huang Chen
title Design and Verification of oneM2M Based Fog Computing Architecture
title_short Design and Verification of oneM2M Based Fog Computing Architecture
title_full Design and Verification of oneM2M Based Fog Computing Architecture
title_fullStr Design and Verification of oneM2M Based Fog Computing Architecture
title_full_unstemmed Design and Verification of oneM2M Based Fog Computing Architecture
title_sort design and verification of onem2m based fog computing architecture
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/zbf364
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