本文選題：智能交通 + Cloud�。� 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：傳統(tǒng)智能交通系統(tǒng)在建設(shè)上存在重復(fù)建設(shè)、管理效率低、交通數(shù)據(jù)閉塞等問題,無法滿足現(xiàn)今交通領(lǐng)域的發(fā)展需求。智慧交通云計(jì)算平臺(tái)則為智能交通系統(tǒng)的發(fā)展提供了全新的發(fā)展思路,通過將云計(jì)算領(lǐng)域技術(shù)應(yīng)用于交通領(lǐng)域來打造一個(gè)統(tǒng)一的交通云生態(tài)圈環(huán)境。交通云平臺(tái)充分發(fā)揮云計(jì)算技術(shù)特長(zhǎng),幫助企業(yè)和政府?dāng)[脫系統(tǒng)設(shè)計(jì)實(shí)現(xiàn)過程中計(jì)算機(jī)領(lǐng)域的細(xì)節(jié)問題,從而減少重復(fù)性勞動(dòng),專心于交通問題領(lǐng)域事業(yè)規(guī)劃與發(fā)展,實(shí)現(xiàn)進(jìn)一步細(xì)化職責(zé)分工與資源重分配,提高資源利用率。本論文設(shè)計(jì)的出發(fā)點(diǎn)就是通過融合現(xiàn)有云計(jì)算技術(shù),針對(duì)交通領(lǐng)域在構(gòu)建智能交通系統(tǒng)中常見的問題,給出智慧交通云計(jì)算平臺(tái)的設(shè)計(jì)、實(shí)現(xiàn)方案。本文的主要研究?jī)?nèi)容有:1.后臺(tái)管理平臺(tái)設(shè)計(jì)與實(shí)現(xiàn):本文設(shè)計(jì)的云平臺(tái)后臺(tái)管理采用“主-從”式結(jié)構(gòu),通過中央控制節(jié)點(diǎn)分發(fā)命令,云平臺(tái)節(jié)點(diǎn)上客戶端執(zhí)行的模式。文中實(shí)現(xiàn)使用cfdo工具作為節(jié)點(diǎn)客戶端,dsh作為中央控制節(jié)點(diǎn),并給出了詳細(xì)的實(shí)現(xiàn)方案。2.應(yīng)用架構(gòu)設(shè)計(jì)與案例實(shí)現(xiàn):本文在Cloud Foundry平臺(tái)應(yīng)用架構(gòu)基礎(chǔ)上提出交通云平臺(tái)的應(yīng)用架構(gòu)設(shè)計(jì)方案,將應(yīng)用劃分成智慧交通應(yīng)用和交通核心應(yīng)用。文中給出兩種應(yīng)用的層次結(jié)構(gòu)關(guān)系和調(diào)用關(guān)系,對(duì)應(yīng)用間通信問題給出了基于HTTP請(qǐng)求、基于企業(yè)服務(wù)總線和基于異步消息隊(duì)列三種模型。3.擴(kuò)展服務(wù)設(shè)計(jì)與實(shí)現(xiàn):本文給出兩種服務(wù)擴(kuò)展的設(shè)計(jì)與實(shí)現(xiàn)方案,分別為基于元數(shù)據(jù)的交通數(shù)據(jù)服務(wù)和HBase服務(wù)。文中給出了兩種服務(wù)的設(shè)計(jì)架構(gòu)和實(shí)現(xiàn),描述了兩種服務(wù)實(shí)例的創(chuàng)建、刪除流程。4.自動(dòng)化部署管理平臺(tái)設(shè)計(jì)與實(shí)現(xiàn):本文采用Iaa S平臺(tái)技術(shù)完善智慧交通云計(jì)算平臺(tái)底層的平臺(tái)支撐,通過Iaa S平臺(tái)為提供交通云平臺(tái)提供服務(wù)器管理支持,并設(shè)計(jì)平臺(tái)管理的域結(jié)構(gòu)。文中給出了基于v Sphere的交通云自動(dòng)化部署管理平臺(tái)的詳細(xì)實(shí)現(xiàn)過程,說明工具準(zhǔn)備和具體實(shí)施過程。本文提出了基于Cloud Foundry平臺(tái)構(gòu)建智慧交通云計(jì)算平臺(tái)的設(shè)計(jì)思路,并針對(duì)平臺(tái)構(gòu)建設(shè)過程中后臺(tái)管理、應(yīng)用架構(gòu)、服務(wù)、自動(dòng)化管理等問題給出了設(shè)計(jì)思路與實(shí)現(xiàn)方案。通過融合現(xiàn)有云計(jì)算技術(shù)為智能交通系統(tǒng)的設(shè)計(jì)做出貢獻(xiàn)。
[Abstract]:The traditional intelligent transportation system has many problems such as repeated construction, low efficiency of management, block of traffic data and so on, which can not meet the development needs in the field of transportation nowadays. Intelligent transportation cloud computing platform provides a new way of development for the development of intelligent transportation system, through the application of cloud computing technology in the field of transportation to create a unified transportation cloud ecosystem environment. The transportation cloud platform makes full use of cloud computing technology to help enterprises and governments get rid of the computer details in the process of system design and implementation, thus reducing repetitive work and concentrating on the career planning and development in the transportation problem field. To further refine the division of responsibilities and resource redistribution, improve resource utilization. The starting point of this paper is to design and implement the intelligent transportation cloud computing platform by integrating the existing cloud computing technology and aiming at the common problems in building intelligent transportation system in the field of transportation. The main content of this paper is: 1. Background management platform design and implementation: the cloud platform background management in this paper adopts the "master-slave" structure, through the central control node distributed commands, the cloud platform node on the client execution mode. In this paper, we use the cfdo tool as the node client and DSH as the central control node, and give a detailed implementation scheme. 2. Application Architecture Design and case implementation: based on the application architecture of Cloud Foundry platform, this paper puts forward the application architecture design scheme of traffic cloud platform, which divides the application into intelligent traffic application and traffic core application. In this paper, the hierarchy relation and call relation of two applications are given, and three models based on HTTP request, enterprise service bus and asynchronous message queue are given. Design and implementation of extended services: this paper presents two schemes of service extension, namely, metadata based traffic data service and HBase service. This paper gives the design and implementation of two kinds of services, describes the creation of two service instances, delete flow. 4. Design and implementation of automated deployment management platform: this paper adopts Iaa S platform technology to perfect the platform support of intelligent transportation cloud computing platform, and provides server management support to provide traffic cloud platform through Iaa S platform. And design the domain structure of platform management. In this paper, the detailed implementation process of traffic cloud automation deployment and management platform based on v Sphere is given, and the tool preparation and implementation process are explained. In this paper, the design idea of intelligent transportation cloud computing platform based on Cloud Foundry platform is put forward, and the design idea and implementation scheme of background management, application architecture, service and automation management in the process of platform construction are given. It contributes to the design of its by integrating the existing cloud computing technology.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U495;TP311.52
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本文編號(hào)：1833656