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Work-in-Progress: Evaluating Task Dropping Strategies for Overloaded Real-Time Systems

Yiqin Gao 1, 2 Guillaume Pallez 3 Yves Robert 1, 2 Frédéric Vivien 2 
2 ROMA - Optimisation des ressources : modèles, algorithmes et ordonnancement
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 TADAAM - Topology-Aware System-Scale Data Management for High-Performance Computing
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
Abstract : This paper discusses evaluation criteria and scheduling strategies for the analysis of overloaded real-time systems. This work builds upon techniques from queueing theory and proposes a new approach for real-time systems.
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https://hal.inria.fr/hal-03357422
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Submitted on : Tuesday, September 28, 2021 - 6:20:57 PM
Last modification on : Friday, July 1, 2022 - 3:51:47 AM
Long-term archiving on: : Wednesday, December 29, 2021 - 7:30:32 PM

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Yiqin Gao, Guillaume Pallez, Yves Robert, Frédéric Vivien. Work-in-Progress: Evaluating Task Dropping Strategies for Overloaded Real-Time Systems. RTSS 2021 - 42nd IEEE Real-Time Systems Symposium, Dec 2021, Dortmund, Germany. pp.1-4, ⟨10.1109/RTSS52674.2021.00057⟩. ⟨hal-03357422⟩

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