Response-Time Analysis for Limited-Preemptive Self-Suspending and Event-Driven Delay-Induced Tasks
Heterogeneous computing platforms running highly parallelized applications are becoming increasingly common in real-time embedded systems. This demands for expressive task models that can capture parallelism, precedence constraints and self-suspending behavior caused by work-offloading on coprocessors, access to shared resources or synchronization between tasks running on different (heterogeneous) cores. The Event-Driven Delay-induced (EDD) task model was specifically designed to address these needs. Yet, to date, a single schedulability test for the EDD task model exists, and that test is limited to the analysis of fully-preemptive partitioned scheduling.In this work, we provide the first worst-case response time analysis for limited-preemptive EDD tasks that are globally scheduled on a multicore platform. Moreover, our evaluation results show that our analysis also outperforms the state-of-the-art response time analyses for both limited-preemptive DAG tasks and self-suspending tasks.
Authors
- Geoffrey Nelissen (ORCID: https://orcid.org/0000-0003-4141-6718)
- Mario Günzel (ORCID: https://orcid.org/0000-0001-7575-7014)
- Srinidhi Srinivasan
Institutions
- TU Dortmund University (DE)
- Eindhoven University of Technology (NL)
Publication Details
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/rtss62706.2024.00013
- Citations
- 1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.51