A Feasibility Study for Power Management in LAN Switches
ICNP '04 Proceedings of the 12th IEEE International Conference on Network Protocols
Seamless live migration of virtual machines over the MAN/WAN
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
VirtualPower: coordinated power management in virtualized enterprise systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
VTDC '06 Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing
Communications of the ACM - Web science
Chasing Gaps between Bursts: Towards Energy Efficient Large Scale Experimental Grids
PDCAT '08 Proceedings of the 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies
ICPADS '08 Proceedings of the 2008 14th IEEE International Conference on Parallel and Distributed Systems
How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Future Generation Computer Systems
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
The GREEN-NET framework: Energy efficiency in large scale distributed systems
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Energy aware consolidation for cloud computing
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Power management in grid computing with xen
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Green cloud framework for improving carbon efficiency of clouds
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
ECO-ALOC: Energy-efficient resource allocation for cluster-based software routers
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient resource management for virtual desktop cloud computing
The Journal of Supercomputing
Power Aware Meta Scheduler for Adaptive VM Provisioning in IaaS Cloud
International Journal of Cloud Applications and Computing
Self-adaptive workload classification and forecasting for proactive resource provisioning
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
Experimental analysis of task-based energy consumption in cloud computing systems
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
Cloud Computing Operations Research
Service Science
Energy and carbon-efficient placement of virtual machines in distributed cloud data centers
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
Automated analysis of performance and energy consumption for cloud applications
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
Analysis of virtual machine live-migration as a method for power-capping
The Journal of Supercomputing
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Cloud infrastructures have recently become a center of attention. They can support dynamic operational infrastructures adapted to the requirements of distributed applications. As large-scale distributed systems reach enormous sizes in terms of equipment, the energy consumption issue becomes one of the main challenges for large-scale integration. Like any other large-scale distributed system, Clouds face an increasing demand in energy. In this paper, we explore the energy issue by analyzing how much energy virtualized environments cost. We provide an energy-efficient framework dedicated to Cloud architectures and we validate it through different experimentations on a modern multicore platform. We show on a realistic example that our infrastructure could save 25% of the Cloud nodes' electrical consumption.