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研究生:陳俊煌
研究生(外文):Chun-Huang Chen
論文名稱:oneM2M霧運算架構之設計與驗證
論文名稱(外文):Design and Verification of oneM2M Based Fog Computing Architecture
指導教授:徐勝均
指導教授(外文):Sheng-Dong Xu
口試委員:柯正浩黃旭志
口試委員(外文):Kevin Cheng-Hao KoHsu-Chih Huang
口試日期:2018-12-21
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:自動化及控制研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:107
語文別:中文
論文頁數:82
中文關鍵詞:物聯網邊霧運算雲端運算智慧交通霧霧運算
外文關鍵詞:IoTfog computingcloud computingsmart trafficfog to fog computingoneM2M
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物聯網大數據分析是實現智慧城市的重要關鍵,利用物聯網技術提供智慧交通、醫療保健、水資源和能源管理等應用的解決方案。然而,像是公共安全和緊急回應等低延遲、快速響應應用的要求,是現有物聯網雲端計算無法完整達到需求的。而霧運算是使用前端裝置或串連接終端裝置,以分散式協作架構進行資料儲存、計算或相關分散式控制管理,是能夠彌補物聯網雲端計算即時性受限制的不足。
依現有oneM2M物聯網架構對於前端邊緣節點之間的高解析度影像資料的傳輸時間為251.2~537.2ms,這樣的傳輸效率勢必不能達到低延遲、快速響應應用的要求。我們提出了一種新穎的方法稱之為oneM2M霧運算架構(oneM2M Fog Computing Architecture),在此架構之下可以跟鄰近霧節點交流協調合作處理作業需求,因此不再受限於節點對任務執行能力或需要轉發任務到雲端執行。
最後,經實作與測試驗證後,本文所提出的運算架構能讓霧和霧節點之間的高解析度影像資料的傳輸時間只需花費16.7~46.2ms,縮短原來oneM2M架構的傳輸時間高達94.1%。總結來說,這樣的方法將最大幅減少總體端到端的延遲,並符合霧霧運算低延遲、快速響應應用的需求。
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.
致謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 VII
表目錄 X
第一章 緒論 1
1.1 前言 1
1.2 研究動機 1
1.3 論文架構 4
第二章 背景知識 5
2.1 oneM2M介紹 5
2.1.1 國際標準物聯網平台 5
2.1.2 分層模型 6
2.1.3 共同服務層 7
2.2 霧運算介紹 14
2.3 當前物聯網關聯之技術發展特性與趨勢 15
2.3.1 當前物聯網關聯之技術發展具有以下特性 15
2.3.2 霧運算產業應用情境智慧化的發展趨勢 16
2.4 雲霧運算平台階級架構 17
2.4.1 雲端運算主要功能 18
2.4.2 霧端運算主要功能 19
2.4.3 雲霧運算平台水平架構 19
第三章 系統架構與軟硬體介紹 22
3.1 oneM2M架構及主要功能 22
3.2 oneM2M霧運算架構 24
3.2.1 oneM2M霧運算架構(oneM2M Fog Computing Architecture) 26
3.2.2 oneM2M霧運算設計(oneM2M Fog Computing Design) 28
3.3 oneM2M 雲霧系統運作流程 38
3.4 Fog Mesh Agent 的 oneM2M資源樹建置與資料集 46
第四章 oneM2M霧運算架構與設計驗證 53
4.1 測試環境建構 53
4.1.1 硬體設備 54
4.1.2 網路交換器Switch and raspberry pi mac address mapping 55
4.1.3 軟體環境 55
4.1.4 oneM2M霧運算資源架構建立 56
4.2 測試結果 60
第五章 結論與未來展望 66
5.1 結論 66
5.2 未來展望 67
參考文獻 68
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