Comparing algorithm for dynamic speed-setting of a low-power CPU
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
Future Generation Computer Systems - Special issue on metacomputing
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Energy Management for Server Clusters
HOTOS '01 Proceedings of the Eighth Workshop on Hot Topics in Operating Systems
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Dynamic cluster reconfiguration for power and performance
Compilers and operating systems for low power
Resource Management for Rapid Application Turnaround on Enterprise Desktop Grids
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Energy conservation in heterogeneous server clusters
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Profile Driven Scheduling for a Heterogeneous Server Cluster
ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
DGSchedSim: A Trace-Driven Simulator to Evaluate Scheduling Algorithms for Desktop Grid Environments
PDP '06 Proceedings of the 14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Energy-Efficient Real-Time Heterogeneous Server Clusters
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
On evaluating request-distribution schemes for saving energy in server clusters
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Energy conservation policies for web servers
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Model-Driven Simulation of Grid Scheduling Strategies
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Attaining soft real-time constraint and energy-efficiency in web servers
Proceedings of the 2008 ACM symposium on Applied computing
The performance of bags-of-tasks in large-scale distributed systems
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
The Journal of Supercomputing
Entropy: a consolidation manager for clusters
Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Fault-aware scheduling for Bag-of-Tasks applications on Desktop Grids
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Dynamic scheduling for heterogeneous Desktop Grids
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Task profiling model for load profile prediction
Future Generation Computer Systems
Power-Aware Linear Programming based Scheduling for heterogeneous computer clusters
GREENCOMP '10 Proceedings of the International Conference on Green Computing
Cloud Computing Operations Research
Service Science
A study on combinational effects of job and resource characteristics on energy consumption
Multiagent and Grid Systems
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In the past few years, scheduling for computer clusters has become a hot topic. The main focus has been towards achieving better performance. It is true that this goal has been attained to a certain extent, but on the other hand, it has been at the expense of increased energy consumption and consequent economic and environmental costs. As these clusters are becoming more popular and complex, reducing energy consumption in such systems has become a necessity. Several power-aware scheduling policies have been proposed for homogeneous clusters. In this work, we propose a new policy for heterogeneous clusters. Our simulation experiments show that using our proposed policy results in significant reduction in energy consumption while performing very competitively in heterogeneous clusters.