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基于XEN的虛擬機實時遷移改進與實現(xiàn)

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  本文關(guān)鍵詞:基于XEN的虛擬機實時遷移改進與實現(xiàn) 出處:《北京郵電大學(xué)》2012年碩士論文 論文類型:學(xué)位論文


  更多相關(guān)文章: 系統(tǒng)虛擬化 虛擬機 實時遷移 Xen


【摘要】:虛擬化作為云計算數(shù)據(jù)中心的一項基礎(chǔ)支撐技術(shù),具有資源整合、實時遷移和快速克隆部署等優(yōu)勢,本文對當(dāng)前系統(tǒng)虛擬化技術(shù)以及虛擬機實時遷移技術(shù)進行了深入研究,研究了Xen虛擬化技術(shù)和其它主流的虛擬化平臺。虛擬機實時遷移技術(shù)作為系統(tǒng)虛擬化技術(shù)的衍生技術(shù),可以將虛擬機從一個物理機無中斷的遷移到另一臺物理機上,從而實現(xiàn)負載均衡、無中斷例行維護和災(zāi)難備份等功能。 然而當(dāng)前的虛擬機實時遷移技術(shù)遷移效率和自動化程度都很低,本文基于Xen虛擬化平臺,實現(xiàn)了一種新的虛擬機遷移方法ME2(Memory Exploration and Encode)。該方法進入虛擬機內(nèi)部,根據(jù)操作系統(tǒng)內(nèi)存管理原理進行探測,區(qū)分出已分配和未分配的內(nèi)存,并通過游程編碼算法RLE(Run Length Encode)對已分配的內(nèi)存進一步壓縮以減少內(nèi)存的傳輸量。經(jīng)實驗驗證,相對于Xen遷移系統(tǒng),ME2可以在總遷移數(shù)據(jù)量、總遷移時間和中斷時間指標(biāo)上平均達到50.5%、48.2%和47.6%的優(yōu)化。進一步,我們又將該ME2的設(shè)計思想用于虛擬機磁盤的實時遷移中,并詳細介紹了磁盤探測的實現(xiàn)細節(jié)。 除了對虛擬機遷移本身的研究與改進外,本文還針對數(shù)據(jù)中心自動化程度低問題設(shè)計并實現(xiàn)了一種虛擬機自動遷移原型系統(tǒng),該系統(tǒng)可以自動的發(fā)現(xiàn)熱點物理機,并根據(jù)資源池內(nèi)所有物理機負載情況自動識別出正確的場景模式:負載均衡模式和節(jié)能省電模式,并根據(jù)相應(yīng)的模式按照預(yù)定義的遷移決策算法做出決策,并通知相應(yīng)的物理機將虛擬機遷移到指定物理機上。整個遷移過程無需人工干預(yù),可實現(xiàn)資源池負載均衡和節(jié)能省電。這種自動遷移系統(tǒng)將會對數(shù)據(jù)中心的服務(wù)器管理帶來極大方便,提高管理效率,并最終節(jié)約數(shù)據(jù)中心的運營成本。 本文最后對虛擬化技術(shù)和實時遷移技術(shù)面臨的問題進行總結(jié),并對未來的發(fā)展趨勢進行了分析。
[Abstract]:As a basic supporting technology of cloud computing data center, virtualization has the advantages of resource integration, real-time migration and rapid clone deployment. In this paper, the current system virtualization technology and virtual machine real-time migration technology are deeply studied. Xen virtualization technology and other mainstream virtualization platform. Virtual machine real-time migration technology as a derivative of system virtualization technology. The virtual machine can be migrated from one physical machine to another without interruption, so as to achieve load balancing, routine maintenance without interruption and disaster backup. However, the current virtual machine real-time migration technology migration efficiency and automation are very low, this paper based on Xen virtualization platform. A new migration method of virtual machine, ME2(Memory Exploration and encode, is implemented, which enters the virtual machine. According to the principle of operating system memory management to detect the difference between allocated and unallocated memory. Furthermore, the run-length coding algorithm RLE(Run Length encodeis used to compress the allocated memory further to reduce the amount of memory transfer. Compared with the Xen migration system, the proposed algorithm is verified by experiments. ME2 can optimize the total migration data, the total migration time and the interruption time by an average of 50.5% and 47.6% respectively. The design idea of ME2 is applied to the real time migration of virtual machine disk, and the implementation of disk detection is introduced in detail. In addition to the research and improvement of virtual machine migration itself, this paper also designs and implements a prototype system of virtual machine automatic migration aiming at the problem of low automation of data center. The system can automatically find hot spot physics machine, and automatically identify the correct scene pattern: load balance mode and energy saving mode according to the load of all physical machines in the resource pool. According to the corresponding pattern, the decision is made according to the predefined migration decision algorithm, and the corresponding physical machine is notified to migrate the virtual machine to the designated physical machine. This automatic migration system will bring great convenience to the server management of the data center, improve the management efficiency, and ultimately save the operation cost of the data center. Finally, the paper summarizes the problems faced by virtualization technology and real-time migration technology, and analyzes the development trend in the future.
【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】:TP302

【參考文獻】

相關(guān)期刊論文 前1條

1 呂小虎;李沁;;虛擬機磁盤遷移技術(shù)研究與實現(xiàn)[J];計算機科學(xué);2009年07期

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本文編號:1371872

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