ECOSystem: managing energy as a first class operating system resource
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Adaptive Hard Disk Power Management on Personal Computers
GLS '99 Proceedings of the Ninth Great Lakes Symposium on VLSI
Power and Energy Profiling of Scientific Applications on Distributed Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
A batch scheduler with high level components
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Grid'5000: A Large Scale and Highly Reconfigurable Grid Experimental Testbed
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
ICPADS '08 Proceedings of the 2008 14th IEEE International Conference on Parallel and Distributed Systems
Adagio: making DVS practical for complex HPC applications
Proceedings of the 23rd international conference on Supercomputing
Investigating the TLB Behavior of High-end Scientific Applications on Commodity Microprocessors
ISPASS '08 Proceedings of the ISPASS 2008 - IEEE International Symposium on Performance Analysis of Systems and software
Markov Model Based Disk Power Management for Data Intensive Workloads
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Energy-Efficient Cluster Computing via Accurate Workload Characterization
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
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Workload characteristics of a multi-cluster supercomputer
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
On the utility of DVFS for power-aware job placement in clusters
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers
Future Generation Computer Systems
T-Alloc: A practical energy efficient resource allocation algorithm for traditional data centers
Future Generation Computer Systems
A performance and energy optimization mechanism for cooperation-oriented multiple server clusters
Future Generation Computer Systems
Energy: a new criteria for performances in large scale distributed systems
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
Practical power consumption estimation for real life HPC applications
Future Generation Computer Systems
Energy-aware parallel task scheduling in a cluster
Future Generation Computer Systems
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
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This paper presents an integrated framework for energy savings in large scale distributed systems such as grids and clouds. The framework comprises tools and mechanisms: to measure and log data about the energy consumed by resources; to present this information to users; to involve the users in decisions to reduce the energy consumed by their applications; and to enforce energy reduction decisions automatically while respecting the users' requirements and achieving the resource availability demanded by current services. Experiments demonstrate the energy savings achieved by the proposed mechanisms and explore trade-offs between energy efficiency and performance degradation.