SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
Koala: a platform for OS-level power management
Proceedings of the 4th ACM European conference on Computer systems
Resource-conscious scheduling for energy efficiency on multicore processors
Proceedings of the 5th European conference on Computer systems
Optimality analysis of energy-performance trade-off for server farm management
Performance Evaluation
Power management in grid computing with xen
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Synchronization-Aware Energy Management for VFI-Based Multicore Real-Time Systems
IEEE Transactions on Computers
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Energy has become an important resource for computer system. In multicore systems, shared resource can lead to contention between tasks running on different cores, which also will give rise to poor power efficiency. The system with dynamic voltage and frequency scaling(DVFS) capability provide support for dynamic energy management to make a better energy efficiency. However, the coming of the virtualization technology make different in energy management. In this paper, we present the policies into a virtualization system, to improve the performance and energy efficiency by avoiding the resource contention of virtual CPU, which the application run on it, and use frequency scaling. Our evaluation based on Xen virtualization environment shows that our policies reduce the energy delay product considerably.