Dynamic voltage and frequency scaling (DVFS) is a technique mainly used for
reducing the consumed energy of computer’s processor. Its only drawback detracting
the performance of parallel application when executing them over parallel platform.
However, genetic algorithm is introduced and applied in a heterogeneous cluster
architecture for modeling the best trade-off between the energy saving and
performance degradation of the parallel application in the same time. The suggested
algorithm selects the best frequencies vector to achieve that targets by offering equal
trade-off between them. The genetic algorithm simultaneously gives minimum energy
consumption and minimal performance degradation via its objective function. All
experiment will apply using SimGrid simulator. The experiments show that the
algorithm reduces the energy consumption of the message passing application by
(24% with 8000 problem size and 22% for 4000 problem size) and in almost cases
improve the application performance up to 3%.