Resource Allocation on Cloud Virtual Machines Based on Service Statistics

• Main Authors: Ying-HsienChen, 陳映先
• Other Authors: Jung-Shian Li
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/65494156215180128713

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 100 === In recent years, cloud computing is a trend in the networking industry. By virtualization, we can optimize the usage of existing resources, simplify the management of infrastructure and software, and reduce hardware requirements. Our research focuses on Infrastructure as a Service (IaaS), pays attention to the allocation of resources from resource providers to resource consumers, and finds the optimization of system utilization. Before efficiently activating an additional Virtual Machine (VM) for some application, the system should check CPU usage in the resource pools. By monitoring VM’s CPU usage, each VM’s behavior can be estimated and idle resource can be released. Based on the estimation of available resource, the system determines allocation of VMs in the resource pools. Our proposed scheme can effectively dispatch VMs to maximize the utilization of the cloud computing center.