Resource Management Policy for Cloud Testbed of China Railway
Cloud provides a shared resource pool for different independent or dependent applications. The virtualization techniques and power management techniques can enhance the flexibility with consolidate multiple virtual machines on the physical server. A key challenge is to automate the management of virtual servers while taking account of application requirements, resource utility and so on. This paper proposes a policy for control virtual machines configuration and resource allocation with the aim of dynamic placement of virtual machines and reducing the power consumption. We use utility function to establish the mathematical model to support decision for resource management and validate our approach through cloud testbed for railway application.
cloud computing resource management power management
Baopeng Zhang Shiyu Gao Liming Xia Jackson He Kai Miao
School of Computer and information Technology Beijing Jiaotong University, Beijing, China Engineerin School of Computer and information Technology Beijing Jiaotong University, Beijing, China Intel Corporation Beijing, China
国际会议
太原
英文
375-379
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)