会议专题

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

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

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)