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

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.

Keywords

real-time system overloaded system task dropping

Domains

Performance [cs.PF] Computer Science [cs]

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2021199410.pdf (233.12 Ko)

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https://inria.hal.science/hal-03357422

Submitted on : Tuesday, September 28, 2021-6:20:57 PM

Last modification on : Friday, December 6, 2024-3:19:59 AM

Long-term archiving on : Wednesday, December 29, 2021-7:30:32 PM

Dates and versions

hal-03357422 , version 1 (28-09-2021)

Identifiers

HAL Id : hal-03357422 , version 1
DOI : 10.1109/RTSS52674.2021.00057

Cite

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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