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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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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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.
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Sheng-Dong Xu |
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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 |
work_keys_str_mv |
AT chunhuangchen designandverificationofonem2mbasedfogcomputingarchitecture AT chénjùnhuáng designandverificationofonem2mbasedfogcomputingarchitecture AT chunhuangchen onem2mwùyùnsuànjiàgòuzhīshèjìyǔyànzhèng AT chénjùnhuáng onem2mwùyùnsuànjiàgòuzhīshèjìyǔyànzhèng |
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