Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Dynamic cluster reconfiguration for power and performance
Compilers and operating systems for low power
Reducing Power with Performance Constraints for Parallel Sparse Applications
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Scale and performance in the Denali isolation kernel
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
HPVZ: A High Performance Virtual Computing Environment for Super Computers
APPT '09 Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies
Designing and evaluating an energy efficient Cloud
The Journal of Supercomputing
Job scheduling for loosely-coupled inhomogeneous nodes using data envelopment analysis
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
The Balance Mechanism of Power and Performance in the Virtualization
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems
Journal of Grid Computing
Energy-QoS tradeoffs in J2EE hosting centres
International Journal of Autonomic Computing
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While chip vendors still stick to Moore's law, and the performance per dollar keeps going up, the performance per watt has been stagnant for last few years. Moreover energy prices continue to rise worldwide. This poses a major challenge to organisations running grids, indeed such architectures require large cooling systems. Indeed the one-year cost of a cooling system and of the power consumption may outfit the grid initial investment. We observe, however, that a grid does not constantly run at peak performance. In this paper, we propose a workload concentration strategy to reduce grid power consumption. Using the Xen virtual machine migration technology, our power management policy can dispatch transparently and dynamically any applications of the grid. Our policy concentrates the workload to shutdown nodes that are unused with a negligible impact on performance. We show through evaluations that this policy decreases the overall power consumption of the grid significantly.