Dynamic Voltage Scaling Scheduling on Power-Aware Clusters under Power Constraints

Energy consumption of computing systems and especially of large-scale systems has a growing concern nowadays due to economic and ecological reasons. To reduce energy consumption, a variety of mechanisms are proposed in the literature. One of them is Dynamic Voltage Scaling (DVS). Many systems impose...

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Veröffentlicht in:2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications S. 72 - 78
Hauptverfasser: Terzopoulos, George, Karatza, Helen D.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2013
Schlagworte:
cluster
DVS
energy
Energy consumption
heterogeneous
Power demand
Processor scheduling
Program processors
Quality of service
Real-time systems
simulation
Voltage control
ISSN:1550-6525
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Zusammenfassung:Energy consumption of computing systems and especially of large-scale systems has a growing concern nowadays due to economic and ecological reasons. To reduce energy consumption, a variety of mechanisms are proposed in the literature. One of them is Dynamic Voltage Scaling (DVS). Many systems impose energy consumption restrictions when tasks are executed. We propose an energy saving mechanism based on DVS that takes into account energy consumption restrictions imposed by the system during the execution of tasks. The proposed DVS mechanism maximizes performance without violating energy consumption restrictions. Furthermore, it achieves great energy savings by lowering processors, frequency and executes tasks under a lower power budget than the one imposed by the system. Simulation experiments show promising results when hard real-time CPU-intensive tasks are executed. Success ratio is kept at satisfactory levels (97%-99.2%) while energy consumption is reduced from 13.7% up to 21%.
ISSN:1550-6525
DOI:10.1109/DS-RT.2013.16