本文選題：虛擬計(jì)算環(huán)境　切入點(diǎn)：虛擬機(jī)遷移　出處：《中國艦船研究院》2012年碩士論文

【摘要】：虛擬化技術(shù)的出現(xiàn)，為提高當(dāng)前數(shù)據(jù)中心等高性能計(jì)算系統(tǒng)的資源利用率提供了良好的解決方案。虛擬化數(shù)據(jù)中心中，由于應(yīng)用程序的不確定性、服務(wù)器處理能力的差異性容易導(dǎo)致此類虛擬計(jì)算環(huán)境中服務(wù)器的負(fù)載失衡。負(fù)載均衡算法作為虛擬化多機(jī)環(huán)境下的關(guān)鍵技術(shù)，極大地影響著虛擬計(jì)算環(huán)境的整體性能。如果失去了負(fù)載均衡算法的支持，服務(wù)器負(fù)載不均衡，會(huì)出現(xiàn)單點(diǎn)服務(wù)器負(fù)載過重，而其它服務(wù)器閑置的問題。該單點(diǎn)服務(wù)器上的請(qǐng)求得不到及時(shí)處理，服務(wù)質(zhì)量得不到保證，嚴(yán)重時(shí)會(huì)導(dǎo)致該服務(wù)器癱瘓。因此如何保持各個(gè)服務(wù)器的負(fù)載，使系統(tǒng)維持高效率運(yùn)轉(zhuǎn)就成了一個(gè)非常關(guān)鍵的問題。 本文詳細(xì)介紹目前虛擬機(jī)計(jì)算環(huán)境下負(fù)載均衡算法的相關(guān)技術(shù)，并分析傳統(tǒng)集群環(huán)境中負(fù)載均衡策略與虛擬計(jì)算環(huán)境下負(fù)載均衡策略的不同。在Linjiu虛擬計(jì)算環(huán)境下對(duì)傳統(tǒng)基于固定閾值的負(fù)載均衡算法進(jìn)行初步設(shè)計(jì)現(xiàn)實(shí)，通過實(shí)驗(yàn)分析傳統(tǒng)基于固定閾值的負(fù)載均衡算法的優(yōu)缺點(diǎn)，提出面向虛擬計(jì)算環(huán)境的的負(fù)載均衡方法。具體分為兩種應(yīng)用模式，根據(jù)服務(wù)器平均負(fù)載的高低自動(dòng)選擇空閑時(shí)段策略和繁忙時(shí)段策略。在服務(wù)器平均負(fù)載空閑時(shí)段應(yīng)用改進(jìn)的基于固定閾值的負(fù)載均衡算法，用CPU預(yù)增量的形式能有效防止群聚效應(yīng)。在服務(wù)器平均負(fù)載繁忙時(shí)段應(yīng)用基于CPU負(fù)載平均的負(fù)載均衡算法，該算法在給定自由度內(nèi)是相對(duì)自由的，只有當(dāng)某些服務(wù)器負(fù)載差值過大時(shí)才觸發(fā)發(fā)生遷移。兩種模式的算法中都用到了CPU預(yù)測(cè)模型，通過預(yù)測(cè)負(fù)載的變化趨勢(shì)可以避免呈顯著下降趨勢(shì)等情況下發(fā)生的不必要的遷移。 通過仿真實(shí)驗(yàn)為CPU預(yù)測(cè)模型的應(yīng)用選定具體參數(shù)，結(jié)果表明CPU預(yù)測(cè)模型的預(yù)測(cè)基本準(zhǔn)確。兩種不同應(yīng)用模式下，不同負(fù)載均衡算法下的服務(wù)器狀態(tài)不同，，結(jié)果顯示本文設(shè)計(jì)的負(fù)載均衡方法能比較有效地利用兩種算法各自的優(yōu)點(diǎn)，使虛擬化數(shù)據(jù)中心的負(fù)載水平保持在均衡水平。
[Abstract]:The emergence of virtualization technology provides a good solution for improving the resource utilization of high performance computing systems such as current data centers. The difference of server processing ability easily leads to the load imbalance of the server in this kind of virtual computing environment. Load balancing algorithm is the key technology in virtualized multi-machine environment. It greatly affects the overall performance of the virtual computing environment. If the load balancing algorithm is lost, the server load will be unbalanced, and the single point server will be overloaded. The problem of idle other servers. The request on the single point server can not be processed in time, the quality of service can not be guaranteed, and the server will be paralyzed when serious. Therefore, how to maintain the load of each server, Keeping the system running efficiently is a key issue. This paper introduces the technology of load balancing algorithm in virtual machine computing environment in detail. The difference between load balancing strategy in traditional cluster environment and that in virtual computing environment is analyzed. In Linjiu virtual computing environment, the primary design of traditional load balancing algorithm based on fixed threshold is carried out. By analyzing the advantages and disadvantages of traditional load balancing algorithms based on fixed threshold, a load balancing method based on virtual computing environment is proposed. According to the average load of the server, the idle period strategy and the peak period strategy are automatically selected. The improved load balancing algorithm based on fixed threshold is applied in the server average load idle period. The clustering effect can be effectively prevented by using the form of CPU preincrement. The load balancing algorithm based on CPU load average is applied in the peak period of server average load, and the algorithm is relatively free within a given degree of freedom. The migration is triggered only when the load difference of some servers is too large. The CPU prediction model is used in both algorithms, and the unnecessary migration can be avoided by predicting the trend of load change. Through the simulation experiment, the specific parameters of CPU prediction model are selected. The results show that the prediction of CPU prediction model is basically accurate, and the server states under different load balancing algorithms are different under two different application modes. The results show that the load balancing method designed in this paper can effectively utilize the advantages of the two algorithms and keep the load level of the virtualized data center at the balance level.
【學(xué)位授予單位】：中國艦船研究院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TP338

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 鄭建光;;VMware與Virtual PC資源共享的實(shí)現(xiàn)方法[J];電腦學(xué)習(xí);2008年01期

2 張前進(jìn);齊美彬;李莉;;基于應(yīng)用層負(fù)載均衡策略的分析與研究[J];計(jì)算機(jī)工程與應(yīng)用;2007年32期

3 汪建球,張忠能;分布式Web服務(wù)器中負(fù)載均衡的實(shí)現(xiàn)[J];計(jì)算機(jī)工程;2003年15期

4 劉媛媛;高慶一;陳陽;;虛擬計(jì)算環(huán)境下虛擬機(jī)資源負(fù)載均衡方法[J];計(jì)算機(jī)工程;2010年16期

5 張建勛;古志民;鄭超;;云計(jì)算研究進(jìn)展綜述[J];計(jì)算機(jī)應(yīng)用研究;2010年02期

6 賈禮遠(yuǎn);李們;;基于VMware的虛擬機(jī)技術(shù)在計(jì)算機(jī)教育中的應(yīng)用[J];中國現(xiàn)代教育裝備;2008年02期

7 管雪風(fēng);;虛擬化技術(shù)——淺議VMWARE虛擬機(jī)的應(yīng)用[J];信息技術(shù)教育;2007年12期

8 朱韜;;虛擬化技術(shù)的代表產(chǎn)品Xen[J];軟件世界;2008年02期

9 古俐明;;集群服務(wù)器負(fù)載均衡技術(shù)研究[J];微計(jì)算機(jī)信息;2007年12期

10 薛海峰;卿斯?jié)h;張煥國;;XEN虛擬機(jī)分析[J];系統(tǒng)仿真學(xué)報(bào);2007年23期

相關(guān)碩士學(xué)位論文 前2條

1 周晨楓;基于半虛擬化內(nèi)存高性能PowerPC體系模擬系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];浙江大學(xué);2006年

2 習(xí)昱鄂;基于處理器負(fù)載的多機(jī)虛擬化調(diào)度系統(tǒng)[D];華中科技大學(xué);2008年

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