@article{Khiat_2024, title={jMetal and MFHS collaboration for task scheduling optimization in heterogeneous distributed system}, volume={3}, url={https://jiamcs.centre-univ-mila.dz/index.php/jiamcs/article/view/v3i2_1383}, DOI={10.58205/jiamcs.v3i2.1383}, abstractNote={<p><span class="fontstyle0">Task scheduling in distributed computing architectures has attracted considerable research interest, leading to the development of numerous algorithms aiming to approach optimal solutions. However, most of these algorithms remain confined to simulation environments and are rarely applied in real-world settings. In a previous study, we introduced the </span><span class="fontstyle2">MFHS </span><span class="fontstyle0">framework, which facilitates the transition of scheduling algorithms from simulation to practical deployment. Unfortunately, </span><span class="fontstyle2">MFHS </span><span class="fontstyle0">currently offers a limited selection of scheduling heuristics. In this work, we address this limitation by presenting the </span><span class="fontstyle2">MFHS_jMetal </span><span class="fontstyle0">framework, integrating the extensive task scheduling algorithms available in the well-established </span><span class="fontstyle2">jMetal </span><span class="fontstyle0">framework. Our implementation demonstrates the successful expansion of available scheduling algorithms while preserving the core characteristics of </span><span class="fontstyle2">MFHS, </span><span class="fontstyle0">bridging the gap between theoretical models and real-world deployment.</span> </p>}, number={2}, journal={Journal of Innovative Applied Mathematics and Computational Sciences}, author={Khiat, Abdelhamid}, year={2024}, month={Jan.}, pages={162–172} }