doi:10.1109/ACCESS.2021.3086698engRubio-Anguiano, L.E.Chils Trabanco, A.Briz Velasco, J.L.Ramírez-Trevino, A.Maximizing utilization and minimizing migration in thermal-aware energy-efficient real-time multiprocessor schedulingART-2021-124973This work proposes CAlECs, a clustered scheduling system for MPSoCs subject to thermal and energy constraints. It calculates off-line a cyclic executive honoring temporal and thermal constraints, for a hard real-time (HRT) task set at minimum frequency to reduce consumed energy, minimizing context switches and migrations. It also provides an on-line controller able to manage system and task parametric variations and soft real-time (SRT) tasks, always meeting the HRT task set constraints and the system thermal bound. CAlECS maximizes CPU utilization to help avoid overprovisioning contributing to a low SWaP factor. Its modular design allows the utilization of different modeling and scheduling approaches, and makes the off-line and on-line components independent from each other to better suit the requirements of a specific system. We experimentally show that the cyclic executive provided by CAlECS for HRT task sets outperforms RUN, a reference off-line algorithm in terms of optimal number of context switches.2021http://zaguan.unizar.es/record/10838410.1109/ACCESS.2021.3086698http://zaguan.unizar.es/record/108384oai:zaguan.unizar.es:108384info:eu-repo/grantAgreement/ES/AEI/PID2019-105660RB-C21-AEI-10.13039-501100011033info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20RIEEE Access 9 (2021), 83309-83328by-nc-ndhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccess