本文關(guān)鍵詞：刀片式服務(wù)器集群性能測試與優(yōu)化技術(shù)研究　出處：《北京郵電大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

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【摘要】：本文描述的是針對刀片式服務(wù)器集群的性能測試與優(yōu)化技術(shù)研究。本文介紹了刀片式服務(wù)器集群的構(gòu)成和工作原理,刀片式服務(wù)器集群性能測試的意義、方法和工具,論述了刀片式服務(wù)器集群性能測試過程和不同方面的優(yōu)化方法與過程。研究方法是在了解集群理論知識和計(jì)算機(jī)集群系統(tǒng)發(fā)展動態(tài)的基礎(chǔ)上,通過大型集群系統(tǒng)實(shí)測技術(shù)的實(shí)踐研究,并加以總結(jié)和改進(jìn)。最后通過各種優(yōu)化措施,提高了刀片式服務(wù)器集群性能。 與此同時本文還分析了計(jì)算機(jī)集群系統(tǒng)關(guān)鍵技術(shù)的特點(diǎn)。例如：集群集中管理,Infiniband技術(shù),高可用技術(shù),負(fù)載均衡技術(shù)等。在總結(jié)高性能集群,高可用集群,負(fù)載均衡集群等不同的集群應(yīng)用類型的基礎(chǔ)上,歸納了計(jì)算機(jī)集群系統(tǒng)并行計(jì)算的常用系統(tǒng)架構(gòu)：SMP, MPP,集群系統(tǒng)架構(gòu)等。同時還分析了不同的集群并行環(huán)境：MPI, PVM環(huán)境,以及其他環(huán)境的性能。并對以上各種環(huán)境進(jìn)行了實(shí)際操作研究。重點(diǎn)在于集群的測試方法和優(yōu)化方法的分析。對于Linpack的測試方法和優(yōu)點(diǎn)進(jìn)行了長時間的、深入的研究,從而達(dá)到提高集群性能的目的,這部分工作是論文主要描述的部分。 論文研究工作的主要成果是：分析和歸納了計(jì)算機(jī)集群系統(tǒng)的組成,并行環(huán)境和測試技術(shù)；對計(jì)算機(jī)集群的關(guān)鍵技術(shù)進(jìn)行了深入的分析；對各種測試軟件和其配置方法加以深入研究,做到了更好地測試集群性能,并優(yōu)化集群性能的技術(shù),提高了集群的性能。
[Abstract]:This paper describes the research on performance testing and optimization technology of blade server cluster. This paper introduces the composition and working principle of blade server cluster and the significance of performance testing of blade server cluster. Methods and tools, this paper discusses the performance testing process of blade server cluster and the optimization methods and processes in different aspects. The research method is based on the knowledge of cluster theory and the development of computer cluster system. Through the practical research on the measurement technology of large-scale cluster system, it is summarized and improved. Finally, the performance of the blade server cluster is improved by various optimization measures. At the same time, this paper also analyzes the characteristics of the key technologies of computer cluster system, such as cluster centralized management, Infiniband technology, high availability technology. On the basis of summarizing different cluster application types such as high performance cluster, high availability cluster, load balancing cluster and so on, this paper summarizes the common system architecture of parallel computing in computer cluster system: SMP. MPP, cluster system architecture and so on. At the same time, we analyze different cluster parallel environment: MPI, PVM environment. And the performance of other environments. The practical operation of the above environments is also studied. The emphasis is on the analysis of the test methods and optimization methods of the cluster. The test methods and advantages of the Linpack are given for a long time. Between. In order to achieve the purpose of improving cluster performance, this part of the work is the main part of the paper. The main achievements of this paper are as follows: the composition of computer cluster system, parallel environment and testing technology are analyzed and summarized. The key technology of computer cluster is analyzed deeply. Various test software and its configuration methods are deeply studied, and the performance of the cluster is improved by testing the performance of the cluster better and optimizing the performance of the cluster.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TP368.5

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