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CAPA: A Framework for Contention-Aware and Progress-Aware Multi-Core Real-Time Systems
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DOI：10.1109/TC.2026.3688446.png)
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Abstract
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Real-time systems face significant challenges in managing shared resources on multi-core platforms while maintaining temporal predictability. This paper introduces the CAPA (Contention-Aware Progress-Aware) framework for real-time systems to export and leverage runtime progress information to enable informed resource management decisions. CAPA represents a practical model for tracking task progress, extending existing Timely Progress Assessment (TPA) techniques to support complex control flows and concurrent execution on commercial multi-core hardware. Building on this model, it is possible to design progress-aware multi-core schedulers capable of dynamically regulating task execution to meet timing constraints. We implement CAPA on a commercial off-the-shelf (COTS) platform and evaluate its performance. Results demonstrate CAPA’s ability to provide controlled performance degradation, meet timeliness constraints, and improve schedulability. Thus, CAPA represents a significant step forward toward practical, contention-aware scheduling in multi-core real-time systems.
Keywords:
Adaptive control
real-time
scheduling
resource contention
multicore
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