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研究生： 陳冠升
Chen, Guan-Sheng
論文名稱： 設計與實作路燈管理系統：配置與佈署
Design and Implementation of a Street Light Management System: Configuration and Deployment
指導教授： 楊竹星
Yang, Chu-Sing
學位類別： 碩士
Master
系所名稱： 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年： 2019
畢業學年度： 107
語文別： 英文
論文頁數： 81
中文關鍵詞： 路燈管理系統 、容器虛擬化 、串流直播 、SSH Tunnel
外文關鍵詞： Streetlight Management System, Containerization, Live Streaming, SSH Tunnel
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    • 如今，越來越多的裝置連上網際網路以提供多元化的服務。路燈作為最常見的基礎設施之一，在智慧城市的概念中扮演著重要的角色。透過在路燈上結合各種感測器及嵌入式設備，可以實現一個資料收集的入口並讓這項大型基礎建設有機會轉型成為一個數位城市的平台。

    本論文的主要目標為設計與實作一個路燈管理系統，其中邊緣運算裝置包括單晶片電腦、微控制器、傳感器和 IP 攝影機。除了路燈的照明控制，本系統還有提供即時的環境感測數據、影像串流直播，以及歷史資訊查詢的 API。為了方便管理及提高可擴展性，本研究提出了基於容器虛擬化技術部署所有運行於雲端伺服器及邊緣運算裝置之服務的方法，並且以初步的效能測試來驗證於效能較差的邊緣運算裝置同時執行多個容器化服務之可行性。此外，雲端伺服器與邊緣運算裝置之間的所有資料傳輸都需經過以非對稱式金鑰建立之 SSH 加密通道，並且所有服務在建立連線時會再以 Token 進行合法裝置的驗證。

    Nowadays, more and more physical devices communicate and interact with others over the Internet. Streetlight, as a pervasive urban infrastructure, plays an important role in moving towards the smart city concept. Through integrating various sensors and embedded devices provides the opportunity to transform this large-scale infrastructure into a multifunctional digital urban platform.

    In this thesis, our main objective is to design and implement a web-based streetlight management system that includes a set of edge devices (single-board computers, microcontrollers, sensors, and IP cameras). In addition to lighting control, this platform provides live streaming and real-time environmental sensor data, as well as a historical information query API. To increase the manageability and scalability, we propose a novel architecture to deploy both the cloud and edge services based on the containerization technology, and the preliminary performance evaluation shows the feasibility of running multiple containers in resource-constrained edge devices. Furthermore, communications between cloud and edge are secured with token verification and transmitted over an SSH tunnel.

    摘要......i Abstract......ii 誌謝......iii Table of Contents......iv List of Tables......vi List of Figures......vii Chapter 1 Introduction 1 1.1 Research Background......1 1.2 Motivation and Goal......3 1.3 Thesis Structure......5 Chapter 2 Related Work 6 2.1 Smart Street Lighting......6 2.2 Virtualization Technology......9 2.2.1 Containers and Virtual Machines......9 2.2.2 Docker Architecture......13 2.3 Live Streaming Technology......15 2.4 SSH in IoT Environment......16 Chapter 3 System Design 17 3.1 System Architecture......17 3.2 Cloud Management Platform......18 3.2.1 Cloud Server Architecture......18 3.2.1.1 Cloud Server Network Topology......19 3.2.2 Cloud Server Deployment......20 3.2.2.1 Deployment Details of Cloud Containers......20 3.2.2.2 Implementation Details of Cloud Containers......24 3.2.3 Account Management Module......25 3.2.4 Device Management Module......28 3.2.5 Secure Transmission Module......31 3.2.5.1 Encryption and Authentication—Edge to Cloud......31 3.2.5.2 Encryption and Authentication—Browser to Cloud......34 3.2.5.3 SSH Tunnel Monitoring......35 3.2.5.4 HTTPS Certificate Renewal......37 3.2.6 Video Streaming Module......38 3.2.7 Edge Service Handling Module......41 3.2.7.1 WebSocket Connection Workflow......41 3.2.7.2 Edge Service User Interface......43 3.2.7.3 LED ON/OFF Schedule......46 3.2.8 Historical Data Query Module......47 3.2.8.1 Cron Jobs in Cloud Server......48 3.2.8.2 Historical Data Query Workflow......49 3.2.8.3 Open Data API......51 3.3 Edge Services Orchestrator......53 3.3.1 Edge Services......55 3.3.1.1 Secure Transmission Module......56 3.3.1.2 Video Streaming Module......56 3.3.1.3 Edge Service Module......57 3.3.2 Single Node Deployment......59 3.3.3 Cluster Nodes Deployment......59 3.3.3.1 Cross­-platform Nodes Support......59 3.3.3.2 Compose File Generator......61 3.3.3.3 Swarm Services Deployment......62 Chapter 4 Experiments and Evaluations 64 4.1 Environment......64 4.2 Function Verification......65 4.3 Performance Evaluation......70 4.3.1 Performance of Cloud Server......70 4.3.2 Performance of Edge Nodes......72 Chapter 5 Conclusion and Future works 74 References 75

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