云环境下基于冷点虚拟机迁移的热点消除问题研究

发布时间：2018-01-11 18:08

  本文关键词：云环境下基于冷点虚拟机迁移的热点消除问题研究　出处：《东北大学》2013年硕士论文　论文类型：学位论文

  更多相关文章： 云计算 虚拟机迁移 热点消除 冷点 层次分析法 多目标决策

【摘要】：虚拟化是实现云环境下“计算即服务”解决方案的关键技术。作为虚拟化的产物,虚拟机具有可以灵活部署资源、实现对物理机状态的隔离以及动态迁移等特点,在云环境下可以有效提高资源的利用率和提升数据中心的动态资源管理能力。动态迁移可以将虚拟机的状态从一台物理机转移到另一台物理机,以此来缓解节点的超负载状态,进而消除热点。热点是指由于资源不足无法保证服务SLA的情形,通过迁移虚拟机对数据中心进行动态资源调配是消除热点的有效手段,也是当今云计算的一个研究热点。本文就关注虚拟环境下借助虚拟机迁移手段的热点消除问题。传统的热点消除方法在迁移点的选择问题上缺乏对热点虚拟机上服务保持问题的考虑,而且缺少对热点的一个系统化判定过程。针对该两点问题,本文引入热度和冷点虚拟机的概念,提出基于冷点虚拟机迁移的热点消除策略,并特别针对热度评估、冷热点判定和冷点迁移点的选择问题给出了基于冷点虚拟机迁移的热点消除过程和方法。第一,对云服务质量的相关参数指标进行分析,制定热度综合评估指标体系,并结合该指标体系给出一种将模糊层次分析法与多目标决策法相结合的热度综合评估方法,计算得到虚拟机的热度等级排序,进而完成对其冷热点情况的判定。第二,本文从热点虚拟机服务保持的角度出发,给出基于冷点虚拟机迁移的迁移点选择决策方法,该方法综合了虚拟机迁移代价、资源适配性和优先等级三个目标因素建立冷点虚拟机迁移点选择的多目标决策模型,为迁移点的选择提供决策依据。本文借助Xen虚拟化平台部署一个多资源混合类型应用,实现对虚拟机的热度综合评估和热点消除,验证本文的热点消除方法。实验结果表明：应用本文的热度评估方法可以比较全面地评估虚拟机的真实热度情况,进而给冷、热点的判定提供有力依据；本文提出的冷点迁移点选择决策方法不仅可以综合多方面因素选择相对最合适的冷点虚拟机进行迁移,有效消除热点,在该过程中热点虚拟机的服务也得到了很好的运行保持效果。
[Abstract]:Virtualization is a key technology for implementing "computing as a service" solution in a cloud environment. As a result of virtualization, virtual machines have the flexibility to deploy resources. The physical machine state isolation and dynamic migration are realized. Dynamic migration can transfer the state of virtual machine from one physical machine to another. In order to alleviate the overloading state of the node and eliminate the hot spot, the hot spot refers to the situation that the service SLA can not be guaranteed because of the lack of resources. Dynamic resource allocation of data center by migration virtual machine is an effective method to eliminate hot spots. This paper focuses on the hot spot elimination with the help of virtual machine migration in virtual environment. The traditional hot spot elimination method is lack of the hot spot virtual machine in the problem of migration point selection. Service maintenance considerations. For these two problems, this paper introduces the concepts of heat and cold point virtual machine, and proposes a hot spot elimination strategy based on cold point virtual machine migration. Especially for heat evaluation, cold hot spot decision and cold point migration point selection problem, this paper gives the hot spot elimination process and method based on cold point virtual machine migration. First, the related parameters of cloud service quality are analyzed. The thermal comprehensive evaluation index system is established, and a thermal comprehensive evaluation method which combines fuzzy analytic hierarchy process and multi-objective decision making method is presented, and the ranking of thermal grade of virtual machine is obtained. Then the cold hot spot is judged. Secondly, from the point of view of hot spot virtual machine service maintenance, this paper gives a migration point selection decision method based on cold point virtual machine migration. This method synthesizes three objective factors of virtual machine migration cost resource adaptation and priority level to establish a multi-objective decision model for cold point virtual machine migration point selection. This paper uses Xen virtualization platform to deploy a multi-resource hybrid application to realize the thermal comprehensive evaluation and hot spot elimination of virtual machine. The experimental results show that the heat evaluation method can be used to evaluate the real heat of virtual machine comprehensively and provide a powerful basis for the determination of cold and hot spots. The method proposed in this paper can not only integrate many factors to select the most suitable cold point virtual machine for migration, but also effectively eliminate hot spots. In this process, the service of hot virtual machine also gets very good performance.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP302
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本文编号：1410626