Adaptive load sharing in homogeneous distributed systems
IEEE Transactions on Software Engineering
Heuristic Algorithms for Task Assignment in Distributed Systems
IEEE Transactions on Computers
List scheduling of parallel tasks
Information Processing Letters
LEneS: task scheduling for low-energy systems using variable supply voltage processors
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Variable voltage task scheduling algorithms for minimizing energy
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Proceedings of the 14th international symposium on Systems synthesis
Task scheduling and voltage selection for energy minimization
Proceedings of the 39th annual Design Automation Conference
Scheduling and Load Balancing in Parallel and Distributed Systems
Scheduling and Load Balancing in Parallel and Distributed Systems
Hypertool: A Programming Aid for Message-Passing Systems
IEEE Transactions on Parallel and Distributed Systems
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
A scheduling model for reduced CPU energy
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Analysis, evaluation, and comparison of algorithms for scheduling task graphs on parallel processors
ISPAN '96 Proceedings of the 1996 International Symposium on Parallel Architectures, Algorithms and Networks
A General Approach to Multiprocessor Scheduling
A General Approach to Multiprocessor Scheduling
Using multiple energy gears in MPI programs on a power-scalable cluster
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
An efficient list scheduling algorithm for time placement problem
Computers and Electrical Engineering
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
The Journal of Supercomputing
List scheduling for jobs with arbitrary release times and similar lengths
Journal of Scheduling
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Minimizing Energy Consumption for Precedence-Constrained Applications Using Dynamic Voltage Scaling
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Multi-facet approach to reduce energy consumption in clouds and grids: the GREEN-NET framework
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
IEEE Transactions on Computers
Low power scheduling of DAGs to minimize finish times
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
Energy-efficient and SLA-aware management of IaaS clouds
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Power-Efficient Scheduling for Heterogeneous Distributed Real-Time Embedded Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Dynamic Voltage Scaling Scheduling on Power-Aware Clusters under Power Constraints
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
PAAS: Power Aware Algorithm for Scheduling in High Performance Computing
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Reducing energy consumption for high end computing can bring various benefits such as reducing operating costs, increasing system reliability, and environmental respect. This paper aims to develop scheduling heuristics and to present application experience for reducing power consumption of parallel tasks in a cluster with the Dynamic Voltage Frequency Scaling (DVFS) technique. In this paper, formal models are presented for precedence-constrained parallel tasks, DVFS-enabled clusters, and energy consumption. This paper studies the slack time for non-critical jobs, extends their execution time and reduces the energy consumption without increasing the task's execution time as a whole. Additionally, Green Service Level Agreement is also considered in this paper. By increasing task execution time within an affordable limit, this paper develops scheduling heuristics to reduce energy consumption of a tasks execution and discusses the relationship between energy consumption and task execution time. Models and scheduling heuristics are examined with a simulation study. Test results justify the design and implementation of proposed energy aware scheduling heuristics in the paper.