DYNAMIC ADJUSTMENT MECHANISM OF THE VIRTUAL MACHINE COMPUTING RESOURCE IN THE CLOUD COMPUTING

• Main Authors: Chih-kai Hu, 胡志凱
• Other Authors: Liang-The Lee
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/11279588239956981849

碩士 === 大同大學 === 資訊工程學系(所) === 98 === IaaS (Infrastructure as a Service) architecture in the cloud computing is to provide infrastructure, CPU, memory, and network, etc., for the service. The virtualization is to package a file type of infrastructure, provision of computing resources. This is usually a virtual environment platform, such as KVM, XEN, and VMware. In such a platform, based on the application of different computing resource requirements, dynamic resource adjustment in part, there are still many research issues to be resolved. For example: automated dynamic resource adjustment mechanism of calculating the allocation of resources. In this thesis, a dynamic adjustment mechanism of the virtual machine computing resources, called DAVMCR, in the cloud computing environment has been proposed. It is a dynamic adjustment technique constructed under the KVM (Kernel-based Virtual Machine) virtualization architecture. By applying the proposed mechanism, when the loading of a virtual machine is heavy, the number of CPUs in the virtual machine will be increased automatically with non-stop service to increase the system performance. Once the system loading is no longer heavy, the augmented CPUs will be released immediately to increase the overall system resource utilization. Experimental results show that by applying the proposed mechanism in a heavy loaded virtual machine, the computing performance of the virtual machine, can be improved effectively and the response time of connection requests can also be reduced significantly.