【摘要】：云計(jì)算技術(shù)的快速發(fā)展以及所帶來的巨大效益的提升,使得各個(gè)行業(yè)都開始把云計(jì)算技術(shù)引入到行業(yè)中,在降低軟硬件成本的同時(shí),也提升行業(yè)的服務(wù)質(zhì)量。在整個(gè)云平臺(tái)的使用周期中,部署環(huán)節(jié)是不可或缺的重要一部分,部署過程的優(yōu)劣直接影響到云平臺(tái)運(yùn)行的性能與效率。在大規(guī)模的云平臺(tái)部署中,由于現(xiàn)實(shí)物理硬件設(shè)備存在差異性,使得部署過程變得繁瑣而復(fù)雜,整個(gè)云平臺(tái)的運(yùn)行風(fēng)險(xiǎn)變得更加顯著。使用傳統(tǒng)方式部署云平臺(tái)過程中,為保證后續(xù)云平臺(tái)具有較高的運(yùn)行性能,需要投入大量的人力、物力和財(cái)力作為后盾。針對(duì)上面所述的問題,本文設(shè)計(jì)一套基于Ansible的云平臺(tái)自動(dòng)化部署系統(tǒng),實(shí)現(xiàn)云平臺(tái)的自動(dòng)化部署,減少云平臺(tái)部署過程中的枯燥性的同時(shí),也減少對(duì)人力、物力的浪費(fèi),讓每次部署的操作有據(jù)可查,明確平臺(tái)部署中的責(zé)任。本文首先對(duì)Ansible和現(xiàn)有的自動(dòng)化部署工具進(jìn)行研究分析,找出Ansible工具的不足;其次對(duì)大文件傳輸中使用到的文件分塊算法進(jìn)行研究學(xué)習(xí),結(jié)合基于內(nèi)容的可變長度的文件分塊算法和固定分塊算法優(yōu)點(diǎn),對(duì)文件先采用基于內(nèi)容分塊算法進(jìn)行分塊,當(dāng)文件塊的大小大于某一值時(shí)采用固定分塊算法,此算法稱為CDC-FSP分塊算法�；谏鲜龅难芯�,本文設(shè)計(jì)出云平臺(tái)自動(dòng)化部署系統(tǒng)的系統(tǒng)架構(gòu),該系統(tǒng)中的服務(wù)層不僅具有Ansible的部分服務(wù),還有一些新添加的服務(wù),例如大文件傳輸服務(wù)等,同時(shí)用戶層根據(jù)服務(wù)層提供的服務(wù),合理的組合出有利于云平臺(tái)部署的功能,例如Linux主機(jī)之間的互信配置等。之后,對(duì)該系統(tǒng)的服務(wù)層的基礎(chǔ)功能模塊,中控中心模塊,遠(yuǎn)程桌面服務(wù),用戶功能層等進(jìn)行了詳細(xì)設(shè)計(jì)。最后實(shí)現(xiàn)該系統(tǒng),同時(shí)對(duì)該系統(tǒng)進(jìn)行詳細(xì)的功能測(cè)試,分析實(shí)驗(yàn)結(jié)果并介紹該系統(tǒng)在實(shí)際平臺(tái)部署應(yīng)用中使用哪些功能可以順利完成系統(tǒng)部署。
[Abstract]:With the rapid development of cloud computing technology and the improvement of great benefits, all industries begin to introduce cloud computing technology into the industry, which not only reduces the cost of software and hardware, but also improves the service quality of the industry. In the whole life cycle of cloud platform, deployment link is an indispensable part, and the quality of deployment process directly affects the performance and efficiency of cloud platform operation. In the large-scale cloud platform deployment, the deployment process becomes tedious and complex because of the difference of real physical hardware devices, and the running risk of the whole cloud platform becomes more significant. In order to ensure the high performance of the subsequent cloud platform, a lot of manpower, material and financial resources are needed to support the deployment of the cloud platform in the traditional way. In view of the above problems, this paper designs a set of cloud platform automation deployment system based on Ansible, which realizes the automatic deployment of cloud platform, reduces the dryness in the process of cloud platform deployment, but also reduces the waste of manpower and material resources. Let each deployment of the operation can be documented, clear platform deployment responsibilities. In this paper, Ansible and the existing automated deployment tools are studied and analyzed, and the shortcomings of Ansible tools are found out. Secondly, the file block algorithm used in large file transmission is studied. Combined with the advantages of content-based variable length file block algorithm and fixed block algorithm, the file is divided into blocks based on content block algorithm. When the size of the file block is larger than a certain value, the fixed block algorithm is adopted, which is called CDC-FSP block algorithm. Based on the above research, this paper designs the system architecture of cloud platform automatic deployment system. The service layer of the system not only has some services of Ansible, but also some new services, such as large file transfer service and so on. At the same time, according to the services provided by the service layer, the user layer reasonably combines the functions that are beneficial to the deployment of cloud platform, such as the mutual trust configuration between Linux hosts and so on. After that, the basic function module of the service layer, the central control center module, the remote desktop service, the user function layer and so on are designed in detail. Finally, the system is implemented, and the function of the system is tested in detail, the experimental results are analyzed, and which functions used in the actual platform deployment application are introduced to successfully complete the system deployment.
【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】：2017
【分類號(hào)】：TP393.09

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