本文選題：云計算　切入點：虛擬機　出處：《遼寧大學(xué)》2013年碩士論文

【摘要】：虛擬化技術(shù)采用隔離技術(shù)降低了云計算環(huán)境下集群的底層異構(gòu)性，通過虛擬資源設(shè)計提高了云計算環(huán)境下資源利用率，是云計算的核心技術(shù)之一，是云環(huán)境下目前的研究熱點。虛擬化中的動態(tài)遷移技術(shù)能夠?qū)μ摂M機進行無縫遷移，在保證業(yè)務(wù)運行的同時將虛擬機從源物理主機遷移到目的物理主機，保證遷移的安全性和高效性。目前，云計算環(huán)境下的動態(tài)遷移性能一般通過SaaS層的具體應(yīng)用的優(yōu)化來實現(xiàn)，，這樣雖然提高了應(yīng)用的跨平臺適應(yīng)性，但是卻顯著降低了動態(tài)遷移性能。 本文針對Xen平臺環(huán)境，將實際應(yīng)用場景和Xen底層的遷移進行結(jié)合，提出了基于Xen虛擬機的動態(tài)遷移策略。具體工作如下： 首先，為了在云計算環(huán)境下進行虛擬機遷移，Xen遷移時采用比較傳遞頁位圖和跳過頁位圖的方式來判斷內(nèi)存頁是否重傳。針對頁位圖比較帶來多次重傳增加網(wǎng)絡(luò)傳送開銷，提出基于AR模型的內(nèi)存優(yōu)化算法，根據(jù)記錄的內(nèi)存頁所有修改時間間隔來預(yù)測內(nèi)存頁的下次修改時間，當(dāng)下次修改時間大于某個閾值時進行重傳。該內(nèi)存優(yōu)化算法縮短了虛擬機遷移的時間，減少了虛擬機遷移時的網(wǎng)絡(luò)開銷。 其次，在AR模型的基礎(chǔ)上，對縮短遷移時間的同時降低業(yè)務(wù)質(zhì)量的情況進行分析處理。針對RATE_IS_SAVE模式下遷移時網(wǎng)絡(luò)帶寬最大化分配帶來業(yè)務(wù)預(yù)留帶寬不足，對原模式進行自適應(yīng)優(yōu)化，提出基于指數(shù)平滑算法的網(wǎng)絡(luò)帶寬改進策略，依據(jù)迭代過程中的臟頁產(chǎn)生速率合理預(yù)測業(yè)務(wù)預(yù)留帶寬，再將剩余帶寬分配給遷移，有效縮短了遷移時間，保證了遷移時的業(yè)務(wù)質(zhì)量。 最后，通過對基于AR模型的內(nèi)存優(yōu)化算法、基于指數(shù)平滑算法的網(wǎng)絡(luò)帶寬分配策略以及兩者結(jié)合在多個應(yīng)用類型下的實驗數(shù)據(jù)收集，分析遷移時間、宕機時間和服務(wù)質(zhì)量等性能指標(biāo)。結(jié)果表明，本文提出的算法在縮短遷移時間的基礎(chǔ)上保證了遷移時的業(yè)務(wù)質(zhì)量。
[Abstract]:Virtualization technology, which is one of the core technologies of cloud computing, reduces the underlying heterogeneity of cluster in cloud computing environment by isolating technology, and improves the utilization ratio of resources in cloud computing environment through virtual resource design. Dynamic migration technology in virtualization can seamlessly migrate virtual machines and transfer virtual machines from source physical host to destination physical host while ensuring business operation. Ensure the security and efficiency of migration. At present, the dynamic migration performance in cloud computing environment is generally realized through the optimization of specific applications in the SaaS layer, although it improves the cross-platform adaptability of applications. However, dynamic migration performance is significantly reduced. In this paper, a dynamic migration strategy based on Xen virtual machine is proposed by combining the actual application scenario with the Xen underlying migration in the Xen platform environment. The specific work is as follows:. First of all, in order to judge whether the memory page is retransmitted by comparing the passing of page bitmap and skipping the page bitmap, the Xen migration of virtual machine in cloud computing environment brings multiple retransmissions to increase the network transmission overhead. A memory optimization algorithm based on AR model is proposed to predict the next modification time of the memory page according to all the modified time intervals of the recorded memory pages. The memory optimization algorithm shortens the migration time of virtual machine and reduces the network overhead of virtual machine migration. Secondly, on the basis of AR model, this paper analyzes and deals with the situation of shortening migration time and reducing service quality, aiming at the shortage of reserved bandwidth due to the maximum allocation of network bandwidth during migration in RATE_IS_SAVE mode. Based on the adaptive optimization of the original mode, a network bandwidth improvement strategy based on exponential smoothing algorithm is proposed. The reserved bandwidth is reasonably predicted according to the dirty page generation rate in the iterative process, and the remaining bandwidth is allocated to the migration. Effectively shorten the migration time, ensure the quality of the business migration. Finally, through the memory optimization algorithm based on AR model, the network bandwidth allocation strategy based on exponential smoothing algorithm and the experimental data collection under multiple application types, the migration time is analyzed. The results show that the proposed algorithm can guarantee the service quality of migration on the basis of shortening the migration time.
【學(xué)位授予單位】：遼寧大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP302

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