Performance Evaluation of Dynamic Migration onOpenNebula and OpenStack Virtualized Environment

• Main Authors: Wen-Wai Wang, 王文瑋
• Other Authors: Chao-Tung Yang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/7befme

碩士 === 東海大學 === 資訊工程學系 === 104 === With virtualization technology and the growing popularity of cloud computing environments, how to get the source of the system services server resource usage low, to show a higher efficiency, availability and lower hardware costs. Is a clear direction on the future of architecture. For now, the cloud platform has been widely used in the private and public cloud environments, but also more and more companies do not want to give way to commercial cloud environment, how to build their own cloud environments, can manage and configure these physical servers, so start thinking about a variety of open source cloud platform start code.In this paper, in order to cloud platform OpenStack and OpenNebula two kinds of open-source start code, the use of Open Source Beginning code technology to create individual cloud environments , real comparative environmental and performance for cloud computing, for personal or business more Multiple selection and application, improve computing environment on autonomy in the cloud, more appropriately adjusted according to demand or to expand the use of resources in order to improve system performance and stability for the purpose of cloud services.OpenStack and OpenNebula constructed in the environment, they are provided a web management service interface, to understand the operation of the hardware, and through the service tools enable managers to quickly and easily deploy and manage, on individuals and businesses, They provide a stable virtual ring and a complete cloud platform. In this experiment, I have to show the effectiveness of the live migration of virtual mobility, virtual machines and physical machines as a test project, the detection of two different cloud platform presented data, and according to the data to analyze the results.