An application-oriented scheduler Article Swipe

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computer science scheduling (production processes) distributed computing resilience (materials science) solver problem solver mathematical optimization computational science mathematics thermodynamics programming language physics

Jean-Christophe Sibel , Nicolas Gresset , Vincent Corlay ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2302.09926 · OA: W4321471640

We consider a multi-agent system where agents compete for the access to the radio resource. By combining some application-level parameters, such as the resilience, with a knowledge of the radio environment, we propose a new way of modeling the scheduling problem as an optimization problem. We design accordingly a low-complexity solver. The performance are compared with state-of-the-art schedulers via simulations. The numerical results show that this application-oriented scheduler performs better than standard schedulers. As a result, it offers more space for the selection of the application-level parameters to reach any arbitrary performance.