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面向高校實(shí)驗(yàn)室的虛擬化計(jì)算資源優(yōu)化模型研究

發(fā)布時(shí)間:2018-05-31 04:25

  本文選題:虛擬化技術(shù) + 時(shí)間表; 參考:《山東財(cái)經(jīng)大學(xué)》2012年碩士論文


【摘要】:虛擬化技術(shù)能夠降低IT設(shè)備的總體擁有成本,降低碳排放量,構(gòu)造綠色計(jì)算方式這已成共識(shí),但如何將虛擬化更好的應(yīng)用到高校中一直是個(gè)研究熱點(diǎn),本文在前人工作的基礎(chǔ)上,通過(guò)轉(zhuǎn)變構(gòu)建方式,宏觀、細(xì)節(jié)上進(jìn)一步降低設(shè)備的能耗、總體擁有成本,提高高校實(shí)驗(yàn)室的資源利用率、可維護(hù)管理性,一定程度上解決實(shí)驗(yàn)室面對(duì)的維護(hù)管理、硬件更新、軟件部署、能源消耗、資源調(diào)配等問(wèn)題。 本課題起源于“高校虛擬化多媒體教室”項(xiàng)目,但在項(xiàng)目的實(shí)施運(yùn)行過(guò)程中發(fā)現(xiàn),其資源利用率、能源消耗、資源調(diào)配等出現(xiàn)諸多問(wèn)題,鑒于此,通過(guò)研究虛擬化、桌面虛擬化、時(shí)間表問(wèn)題等技術(shù)和理論,從預(yù)期要達(dá)到的目標(biāo)出發(fā),分析傳統(tǒng)實(shí)驗(yàn)室的不足,虛擬化技術(shù)的長(zhǎng)處,提出以虛擬化計(jì)算資源池為平臺(tái),提供虛擬化實(shí)驗(yàn)室服務(wù)的方式構(gòu)建高校實(shí)驗(yàn)室,由此本文設(shè)計(jì)了虛擬化計(jì)算資源池模型,并依此模型組建了虛擬化計(jì)算資源池平臺(tái),為高校提供虛擬化實(shí)驗(yàn)室服務(wù)。針對(duì)計(jì)算資源池模型的可行性,虛擬化實(shí)驗(yàn)室服務(wù)的可用性,本文從碳排放、總體擁有成本、運(yùn)行性能、維護(hù)管理的角度進(jìn)行詳略的分析,驗(yàn)證了模型的可行性和服務(wù)的可用性。在此基礎(chǔ)上,著重研究池中資源優(yōu)化問(wèn)題,首先統(tǒng)計(jì)分析資源的使用情況及利用率,找出影響利用率的因素、優(yōu)化方向,以設(shè)定約束條件和目標(biāo)函數(shù),其次根據(jù)設(shè)定的條件和目標(biāo)構(gòu)建了虛擬化計(jì)算資源優(yōu)化模型,并給出問(wèn)題的數(shù)學(xué)描述,用數(shù)學(xué)理論證明解的存在性,用設(shè)計(jì)實(shí)現(xiàn)的遺傳算法對(duì)數(shù)據(jù)樣本進(jìn)行求解,最后使用數(shù)據(jù)模擬的方式對(duì)比優(yōu)化前后的資源占用情況,結(jié)果顯示模型是有效的,達(dá)到了一定的優(yōu)化效果。 最后,將上述的工作結(jié)論放到實(shí)際系統(tǒng)中進(jìn)行再次測(cè)驗(yàn),工作包括虛擬化平臺(tái)部署、計(jì)算資源管理系統(tǒng)的設(shè)計(jì)實(shí)現(xiàn)、數(shù)據(jù)樣本的導(dǎo)入及系統(tǒng)性能監(jiān)測(cè),對(duì)獲得數(shù)據(jù)進(jìn)行分析研究得虛擬化計(jì)算池模型具有可行性,優(yōu)化模型具有有效性,小規(guī)模下資源池能夠很好的為高校提供虛擬化實(shí)驗(yàn)室服務(wù),達(dá)到了研究的預(yù)期目標(biāo)。
[Abstract]:It has become a consensus that virtualization technology can reduce the overall cost of ownership of IT devices, reduce carbon emissions, and construct a green computing method, but how to better apply virtualization to colleges and universities has always been a research hotspot. On the basis of previous work, this paper further reduces the energy consumption of equipment, the overall cost of ownership, the utilization of resources and the maintainability of university laboratories by changing the construction mode, macroscopically and in detail. To some extent solve the problems of maintenance management, hardware update, software deployment, energy consumption, resource allocation and so on. This subject originates from the project of "Virtual Multimedia classroom in Colleges and Universities", but in the course of the implementation of the project, it is found that there are many problems such as resource utilization ratio, energy consumption, resource allocation and so on. In view of this, through the study of virtualization, Desktop virtualization, timetable issues and other technologies and theories, from the goal to be achieved, analyzes the shortcomings of traditional laboratories and the advantages of virtualization technology, and proposes to take the virtualization computing resource pool as the platform. This paper designs a virtual computing resource pool model and establishes a virtualized computing resource pool platform according to this model to provide virtual laboratory services for colleges and universities. Aiming at the feasibility of computing resource pool model and the availability of virtualization laboratory services, this paper makes a detailed analysis from the perspective of carbon emissions, total cost of ownership, operating performance, maintenance and management. The feasibility of the model and the availability of the service are verified. On this basis, the resource optimization problem in the pool is studied emphatically. Firstly, the use and utilization of resources are statistically analyzed, the factors affecting the utilization ratio are found out, the optimization direction is found, and the constraint conditions and objective functions are set up. Secondly, the optimization model of virtualized computing resources is constructed according to the set conditions and objectives, and the mathematical description of the problem is given. The existence of the solution is proved by mathematical theory, and the data sample is solved by the genetic algorithm designed and implemented. Finally, the data simulation is used to compare the resource occupation before and after the optimization. The results show that the model is effective and achieves a certain optimization effect. Finally, the above conclusions are put into the actual system for re-test, including virtualization platform deployment, design and implementation of computing resource management system, data sample import and system performance monitoring. The virtual computing pool model is feasible, the optimization model is effective, and the small scale resource pool can provide virtualization laboratory services for colleges and universities.
【學(xué)位授予單位】:山東財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:TP308;TP391.9

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