云计算中的信息系统生存性量化分析研究
发布时间：2018-08-28 17:54
【摘要】：生存性是信息系统的重要指标之一，它描述了系统在遭受攻击、出现故障或意外事故后，即使部分组件或服务失效、系统不再完整，仍然能够及时完成其任务或提供关键服务的能力。在越来越多的信息系统被迁移到云环境下的情况下，信息系统生存性的研究也迎来了新的问题与条件。 提升分布式信息系统生存性的方式是多种多样的。本论文关注于分布式信息系统的生存性的评估和优化，提出了一种部署于IaaS云环境的分布式信息系统的生存性量化分析框架。本论文的主要研究方向是：在一个有限的包括若干物理设备和部署了分布式信息系统的虚拟机的环境内，分析物理设备的可靠性，依据分布式信息系统不同组件间的逻辑关系得到各个组件对其他组件的贡献值，并与组件本身的价值合并得到组件的性能，通过对这些数据的分析，量化评估一种部署方案下该分布式信息系统的生存性。然后，生存性量化分析框架可以进一步得出该分布式信息系统在限定环境下的近似最优生存性，以及与之对应的能达到近似最优生存性的部署方案。最后，在IaaS云中执行由该部署方案生成的运维指令，将信息系统按新的部署方案部署，使之获得近似最优的生存性。 本论文的主要贡献包括：首先，，提出了一种量化评估部署于IaaS云环境的分布式信息系统的生存性的框架；其次，在该框架下，提供了分析计算近似最优生存性的部署方案的方法；最后，应用多种算法进行了实验，验证了生存性量化分析框架的有效性和应用到实际场景中的效果。
[Abstract]:Survivability is one of the most important indicators of information systems. It describes that the system is no longer complete after an attack, failure or accident, even if some components or services fail. The ability to complete its mandate or provide critical services in a timely manner. With more and more information systems being migrated to the cloud environment, the research on the survivability of information systems is confronted with new problems and conditions. There are many ways to improve the survivability of distributed information systems. This paper focuses on the survivability evaluation and optimization of distributed information systems, and proposes a quantitative survivability analysis framework for distributed information systems deployed in the IaaS cloud environment. The main research direction of this thesis is to analyze the reliability of physical devices in a limited environment, which includes a number of physical devices and a virtual machine that has deployed distributed information systems. According to the logical relationship between the different components of the distributed information system, the contribution value of each component to other components is obtained, and the performance of the component is obtained by combining with the value of the component itself. Quantificationally evaluate the survivability of the distributed information system under a deployment scheme. Then, the framework of survivability quantification analysis can further obtain the approximate optimal survivability of the distributed information system in a limited environment, and the corresponding deployment scheme which can achieve the approximate optimal survivability. Finally, the operation instructions generated by the deployment scheme are executed in the IaaS cloud, and the information system is deployed according to the new deployment scheme to obtain approximately optimal survivability. The main contributions of this thesis are as follows: firstly, a framework to quantitatively evaluate the survivability of distributed information systems deployed in IaaS cloud environment is proposed. A method to analyze and calculate the approximately optimal survivability deployment scheme is provided. Finally, experiments are carried out with various algorithms to verify the validity of the survivability quantitative analysis framework and the effectiveness of its application to actual scenarios.
【学位授予单位】：中山大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP309
本文编号：2210129
[Abstract]:Survivability is one of the most important indicators of information systems. It describes that the system is no longer complete after an attack, failure or accident, even if some components or services fail. The ability to complete its mandate or provide critical services in a timely manner. With more and more information systems being migrated to the cloud environment, the research on the survivability of information systems is confronted with new problems and conditions. There are many ways to improve the survivability of distributed information systems. This paper focuses on the survivability evaluation and optimization of distributed information systems, and proposes a quantitative survivability analysis framework for distributed information systems deployed in the IaaS cloud environment. The main research direction of this thesis is to analyze the reliability of physical devices in a limited environment, which includes a number of physical devices and a virtual machine that has deployed distributed information systems. According to the logical relationship between the different components of the distributed information system, the contribution value of each component to other components is obtained, and the performance of the component is obtained by combining with the value of the component itself. Quantificationally evaluate the survivability of the distributed information system under a deployment scheme. Then, the framework of survivability quantification analysis can further obtain the approximate optimal survivability of the distributed information system in a limited environment, and the corresponding deployment scheme which can achieve the approximate optimal survivability. Finally, the operation instructions generated by the deployment scheme are executed in the IaaS cloud, and the information system is deployed according to the new deployment scheme to obtain approximately optimal survivability. The main contributions of this thesis are as follows: firstly, a framework to quantitatively evaluate the survivability of distributed information systems deployed in IaaS cloud environment is proposed. A method to analyze and calculate the approximately optimal survivability deployment scheme is provided. Finally, experiments are carried out with various algorithms to verify the validity of the survivability quantitative analysis framework and the effectiveness of its application to actual scenarios.
【学位授予单位】：中山大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP309
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本文编号：2210129
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