aspg-18-2997-1792581920 20261021112520 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2024 13 2 Zainab A. Abdulazeez College of Education for Human Sciences, University of Karbala, 56001, Iraq Nihad Abduljalil Department of Air Conditioning and Refrigeration, University of Warith Al-Anbiyaa, Karbala 56001, Iraq Ahmed B. M. Fanfakh Department of Computer Science, College of science for women, University of Babylon, Babylon, 51002, Iraq Ali Kadhum M. Al-Qurabat Department of Cyber Security, College of Sciences, Al-Mustaqbal university, 51001, Babylon, Iraq Esraa H. Alwan Department of Computer Science, College of science for women, University of Babylon, Babylon, 51002, Iraq Dynamic voltage and frequency scaling (DVFS) is a tool used primarily to decrease computer processor energy consumption by lowering its operational frequency. Their only downside is that they distract from the efficiency of parallel applications while operating on parallel platforms. In a heterogeneous cluster architecture, however, a genetic algorithm is being implemented and applied to model the best trade-off between energy-saving and parallel application performance degradation. The proposed algorithm selects the best frequency vector in order to accomplish these objectives by providing the same compromise. So, the objective function of the genetic algorithm at the same time gives limited energy consumption and minimum decreases in performance. The SimGrid simulator will be used for all experiments. The suggested algorithm saves the average energy by (20 %) and the application performance degrades to the limit (0.15 %). 2024 129 140 2997 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.130210 https://www.americaspg.com/journal/18/article/2997 https://www.americaspg.com/storage/51748960902.pdf