本文選題：云平臺(tái) + 虛擬機(jī)　； 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)的迅速發(fā)展,云計(jì)算技術(shù)在包括我國在內(nèi)的世界各國得到廣泛的重視、研究和推進(jìn)。作為一種新興的計(jì)算模式,云計(jì)算具有高可靠性、按需分配及動(dòng)態(tài)分配等優(yōu)點(diǎn)。為了滿足應(yīng)用集中部署的要求,減少硬件成本和維護(hù)開銷,.電信運(yùn)營商也開展了云平臺(tái)的建設(shè)。 運(yùn)營商應(yīng)用系統(tǒng)的資源需求往往會(huì)隨著業(yè)務(wù)的發(fā)展和用戶群的壯大而逐漸增加。然而根據(jù)云平臺(tái)按需分配的基本特點(diǎn),在創(chuàng)建虛擬機(jī)時(shí)云平臺(tái)為系統(tǒng)提供的資源是有限的,難以滿足應(yīng)用資源需求的增長。為了解決這個(gè)問題,常見的IaaS平臺(tái)如OpenStack、VMware均提供動(dòng)態(tài)遷移的功能,將應(yīng)用遷移到能提供更多資源的虛擬機(jī)上,然而電信運(yùn)營商的一些應(yīng)用系統(tǒng)要求實(shí)時(shí)不間斷運(yùn)行,在遷移過程中不可避免的時(shí)間開銷將會(huì)給業(yè)務(wù)帶來影響,造成不必要的損失。因此在將業(yè)務(wù)應(yīng)用作為虛擬機(jī)部署到云平臺(tái)時(shí),需要針對(duì)電信運(yùn)營商業(yè)務(wù)應(yīng)用場(chǎng)景的特點(diǎn)設(shè)計(jì)云平臺(tái)調(diào)度算法,在充分考慮減少未來可能的跨物理機(jī)遷移次數(shù)的同時(shí),以提升平臺(tái)整體資源利用率為目標(biāo),.將虛擬機(jī)部署到合適的物理機(jī)上。 針對(duì)此問題,本論文基于教育部-中國移動(dòng)科研基金2012年度項(xiàng)目“面向互聯(lián)網(wǎng)的業(yè)務(wù)支撐系統(tǒng)關(guān)鍵技術(shù)及方案研究”,基于OpenStack開源IaaS平臺(tái),設(shè)計(jì)并實(shí)現(xiàn)了兩階段云平臺(tái)虛擬機(jī)調(diào)度算法。首先,對(duì)電信運(yùn)營商業(yè)務(wù)進(jìn)行抽象,研究基于業(yè)務(wù)規(guī)模和生命周期的業(yè)務(wù)分類,并在此基礎(chǔ)上提出兩階段虛擬機(jī)資源調(diào)度算法；其次,研究OpenStack調(diào)度器的實(shí)現(xiàn),并基于OpenStack該實(shí)現(xiàn)開發(fā)兩階段調(diào)度算法模塊,用于對(duì)算法進(jìn)行性能評(píng)估。最后,對(duì)兩階段調(diào)度算法及相應(yīng)模塊進(jìn)行測(cè)試,通過對(duì)測(cè)試結(jié)果的分析,驗(yàn)證了調(diào)度模塊的可用性和兩階段調(diào)度算法的有效性。
[Abstract]:With the rapid development of the Internet, cloud computing technology has received extensive attention, research and promotion in the world, including China. As a new computing model, cloud computing has the advantages of high reliability, on-demand allocation and dynamic allocation. In order to meet the requirements of centralized application deployment, hardware costs and maintenance costs are reduced. Telecom operators also carried out the construction of cloud platform. The resource demand of operator application system will increase with the development of service and the expansion of user group. However, according to the basic characteristics of cloud platform allocation according to demand, the resources provided by cloud platform to the system are limited when the virtual machine is created, and it is difficult to meet the increasing demand of application resources. In order to solve this problem, common IaaS platforms such as OpenStackor VMware provide the function of dynamic migration and migrate applications to virtual machines that can provide more resources. However, some application systems of telecom operators require real-time and uninterrupted operation. The inevitable time cost in the migration process will have an impact on the business, resulting in unnecessary losses. Therefore, when deploying the service application as a virtual machine to the cloud platform, we need to design a cloud platform scheduling algorithm according to the characteristics of the service application scenario of telecom operators, which can reduce the number of possible migration times across physical machines in the future. In order to improve the overall resource utilization of the platform as a goal. Deploy the virtual machine to the appropriate physical machine. In order to solve this problem, this paper is based on the project "key Technologies and Solutions of Internet-Oriented Business support system" of the Ministry of Education and China Mobile Research Foundation in 2012, and based on OpenStack open source IaaS platform. A two-stage cloud platform virtual machine scheduling algorithm is designed and implemented. First of all, the service of telecom operators is abstracted, the service classification based on service scale and life cycle is studied, and then a two-stage virtual machine resource scheduling algorithm is proposed. Secondly, the implementation of OpenStack scheduler is studied. A two-stage scheduling algorithm module based on OpenStack is developed to evaluate the performance of the algorithm. Finally, the two-stage scheduling algorithm and its corresponding modules are tested. The availability of the scheduling module and the effectiveness of the two-stage scheduling algorithm are verified by the analysis of the test results.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.01

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