本文關(guān)鍵詞：云環(huán)境下虛擬機(jī)部署技術(shù)的研究及實(shí)現(xiàn)　出處：《東北大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： Xen 虛擬機(jī) 部署技術(shù) 云計(jì)算 遺傳算法

【摘要】：近年來,云計(jì)算技術(shù)受到了廣泛的關(guān)注,是當(dāng)前學(xué)術(shù)界、產(chǎn)業(yè)界的研究熱點(diǎn)。而虛擬化技術(shù)由于具有增強(qiáng)云計(jì)算系統(tǒng)彈性和擴(kuò)展性、提高資源使用效率、減少硬件投資及維護(hù)成本等諸多優(yōu)勢而被廣泛的使用,已成為當(dāng)前云計(jì)算領(lǐng)域的關(guān)鍵技術(shù)。虛擬機(jī)部署技術(shù)是虛擬化領(lǐng)域的研究熱點(diǎn)之一,主要聚焦于采用合適的策略和算法,將虛擬機(jī)快速部署到物理機(jī)上,并使虛擬機(jī)在集群上高效運(yùn)行。現(xiàn)有的部署算法主要針對CPU等單一因素而提出,而且通常沒有考慮虛擬機(jī)負(fù)載的類型,因而存在著一定的局限性；另外,現(xiàn)有的基于鏡像方式的虛擬機(jī)快速部署方式還存在著用戶滿意度低和管理復(fù)雜兩方面的問題。針對上述問題,本文在Xen虛擬化平臺(tái)的基礎(chǔ)上,具體做了如下工作：(1)針對現(xiàn)有虛擬機(jī)部署策略和算法存在的考慮因素單一和目標(biāo)不明確的問題,提出了兩種虛擬機(jī)部署算法,即基于矩陣加權(quán)的虛擬機(jī)部署算法(MW-EC)和基于遺傳算法的虛擬機(jī)部署算法(GA-LB),前者在考慮集群系統(tǒng)能耗的同時(shí),重點(diǎn)考慮服務(wù)質(zhì)量,能夠有效提高服務(wù)質(zhì)量；而后者則是在改進(jìn)原有遺傳算法的基礎(chǔ)上設(shè)計(jì)的,具有很強(qiáng)的負(fù)載均衡能力。(2)結(jié)合上述兩種虛擬機(jī)部署算法,設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)云環(huán)境下的虛擬機(jī)部署管理框架VMPF,該框架由虛擬機(jī)部署管理模塊、部署代理模塊、資源監(jiān)控模塊和模板管理模塊等組成。部署管理模塊能夠根據(jù)用戶請求、按照虛擬機(jī)部署算法生成部署方案；部署代理模塊則根據(jù)部署方案來創(chuàng)建虛擬機(jī),完成部署；資源監(jiān)控模塊主要收集物理機(jī)的負(fù)載信息,為部署管理模塊服務(wù)；模板管理模塊則提供虛擬機(jī)鏡像管理功能。該框架能夠提供用戶便捷而快速地申請部署虛擬機(jī),并實(shí)現(xiàn)了用戶申請?zhí)摂M機(jī)自動(dòng)化,具有很高的部署效率。(3)設(shè)計(jì)并實(shí)現(xiàn)了所提出的虛擬機(jī)部署框架和算法,對提出的基于矩陣加權(quán)的部署算法和基于遺傳算法的虛擬機(jī)部署算法進(jìn)行了性能測試,并和現(xiàn)有FF算法、FFD算法和擇優(yōu)算法進(jìn)行了比較。實(shí)驗(yàn)結(jié)果表明基于矩陣加權(quán)的虛擬機(jī)部署算法能夠達(dá)到良好的節(jié)能目標(biāo),而基于遺傳算法的虛擬機(jī)部署算法具有很好的負(fù)載均衡能力。
[Abstract]:In recent years, cloud computing technology has received extensive attention, is the current research focus of academia, industry and virtualization technology has enhanced cloud computing system flexibility and scalability, improve the efficiency of resource use, reduce the hardware investment and maintenance cost advantages and is widely used, has become a key technology in the cloud in the calculation domain. The virtual machine deployment technology is one of the hot research field of virtualization, mainly focusing on the strategy and algorithm of virtual machine rapid deployment to the physical plane, and the efficient operation of the virtual machine in the cluster. The existing deployment algorithms for CPU single factor is put forward, and usually no considering the type of virtual machine load, so there are some limitations; in addition, the existing virtual machine image based on the way of rapid deployment mode still has a low customer satisfaction and complex management Two aspects of the problem. To solve the above problems, based on the Xen virtualization platform, the specific contents are as follows: (1) according to the existing virtual machine deployment strategy and algorithm are simple consideration and vague goals, put forward two kinds of virtual machine deployment algorithm, namely virtual machine based on weighted matrix the deployment algorithm (MW-EC) and virtual machine deployment algorithm based on genetic algorithm (GA-LB), the former in considering the cluster energy consumption at the same time, considering the quality of service, can effectively improve the quality of service; the latter is designed in the improved genetic algorithm based on load balancing, has a very strong ability. (2 two) combined with the virtual machine deployment algorithm, design and implementation of virtual machines in a cloud environment management under the framework of VMPF deployment, the framework of the virtual machine deployment management module, deployment agent module, resource monitoring module and template tube Management module. Deployment management module can according to user requests, in accordance with the virtual machine deployment algorithm to generate deployment scheme; deployment agent module is based on the deployment plan to create a virtual machine, the completion of the deployment of information resources; load monitoring module mainly collects the physical machine, for service deployment management module; template management module provides a virtual machine image management function the framework can provide users convenient and fast for the deployment of virtual machines, and realizes the user application virtual machine automation, has high deployment efficiency. (3) the virtual machine deployment framework and algorithm design and implementation of the proposed, the proposed deployment algorithm based on weighted matrix and the virtual machine deployment algorithm genetic algorithm based on the performance test, and the existing FF algorithm, FFD algorithm and compare the preferred algorithm. The experimental results show that the virtual machine based on weighted matrix The deployment algorithm can achieve good energy saving targets, and the virtual machine deployment algorithm based on genetic algorithm has a good load balancing ability.

【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP302
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本文編號：1392624