원문정보
초록
영어
In cloud computing model, virtualized resources is provided to customers as a service over the Internet with reasonable price. This model e ectively helps customers focus on their creative business because computing resources are provided on demand by cloud provider. Because of the convenient for cloud customers, the demand for cloud resource grows, thus make cloud data center enlarge and energy consumption becomes a critical issue for cloud provider as well as the carbon dioxide emission. In order to save energy, virtual machines are consolidated to reduce the number of servers required to host them. However, for appli- cations that require communication among services, this migration can increase the latency which causes bad e ect on their performance. This paper presents an algorithm that im- prove communication performance by reducing overall trac cost of virtual machines and while energy by increasing CPU utilization.
목차
1 Introduction
2 Related works
3 Background and Motivation
3.1 Data center topology
3.2 Trac matric simulation
3.3 Energy-aware VM placement
4 Virtual machine placement algorithm
4.1 Trac aware nding host for VM
4.2 Energy aware nding host for VM
4.3 Finding host for VM algorithm
5 Evaluation
6 Conclusion
References