Simulation Modeling and Analysis
Simulation Modeling and Analysis
The case for power management in web servers
Power aware computing
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
IEEE Transactions on Computers
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
The Journal of Supercomputing
Resource Allocation Strategies in a 2-Level Hierarchical Grid System
ANSS-41 '08 Proceedings of the 41st Annual Simulation Symposium (anss-41 2008)
Power efficient scheduling heuristics for energy conservation in computational grids
The Journal of Supercomputing
Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
IEEE Transactions on Parallel and Distributed 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
Hi-index | 0.00 |
Power consumption in large scale systems has been studied severely. Reasons are mainly environmental-ecological and economical. This paper studies the application of power saving mechanisms combined with scheduling policies in a real-time 2-level heterogeneous grid system. We propose power saving mechanisms taking advantage of Dynamic Voltage Scaling of modern processors. A simulation model is used to evaluate performance of these policies at the grid level and at the local level and to measure the energy saved by the application of power-saving mechanisms at the processor level. Our experimental results show 15% to 35% savings in processors¢ power consumption when the power saving mechanism is applied, while performance of the system is maintained at satisfactory levels.