LiME: The Linux Real-Time Task Model Extractor

We present LIME, a novel dynamic real-time task model extractor. LIME observes the temporal behavior of Linux real-time threads and automatically maps the observed activity to established real-time task models: sporadic and periodic tasks, upper and lower arrival curves, cumulative execution-time curves, and two self-suspension models (dynamic and segmented). LIME runs on unmodified Linux kernels and requires neither knowledge of real-time theory nor familiarity with Linux internals to be used effectively. An extensive evaluation shows LIME to achieve very high inference accuracy—in particular 100% accuracy for common automotive periods—with low kernel overhead, low latency impact, and low processor utilization (at best-effort priority).

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Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/rtas65571.2025.00033
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49

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article

LiME: The Linux Real-Time Task Model Extractor

Björn B. Brandenburg, Cédric Courtaud, Bite Ye, Filip Marković
1 citations
Distributed and Parallel Computing Systems
1.49
article

LiME: The Linux Real-Time Task Model Extractor

Björn B. Brandenburg, Cédric Courtaud, Bite Ye, Filip Marković
article en
1 citations

Abstract

We present LIME, a novel dynamic real-time task model extractor. LIME observes the temporal behavior of Linux real-time threads and automatically maps the observed activity to established real-time task models: sporadic and periodic tasks, upper and lower arrival curves, cumulative execution-time curves, and two self-suspension models (dynamic and segmented). LIME runs on unmodified Linux kernels and requires neither knowledge of real-time theory nor familiarity with Linux internals to be used effectively. An extensive evaluation shows LIME to achieve very high inference accuracy—in particular 100% accuracy for common automotive periods—with low kernel overhead, low latency impact, and low processor utilization (at best-effort priority).

Max Planck Institute for Software Systems (DE), Huawei Technologies (France) (FR), University of Southampton (GB)
H2020 European Research Council
Openalex Percentile: Top 16%
Distributed and Parallel Computing Systems
1.49
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