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A heuristic to minimize the cardinality of a real-time task set by automated task clustering
- Source :
- SAC, Proceedings of the 29th Annual ACM Symposium on Applied Computing (SAC 2014), Proceedings of the 29th Annual ACM Symposium on Applied Computing (SAC 2014), Apr 2014, Gyeongju, South Korea. ⟨10.1145/2554850.2554958⟩
- Publication Year :
- 2014
- Publisher :
- ACM, 2014.
-
Abstract
- International audience; We propose in this paper a method to automatically map functionalities (blocks of code corresponding to high-level features) with real-time constraints to tasks (or threads). We aim at reducing the number of tasks functions are mapped to, while preserving the schedulability of the initial system. We consider independent tasks running on a single processor. Our approach has been applied with fixed-task or fixed-job priorities assigned in a Deadline Monotonic (DM) or a Earliest Deadline First (EDF) manner.
- Subjects :
- Earliest deadline first scheduling
Theoretical computer science
Computer science
Heuristic
real-time
Parallel computing
ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.4: Real-time systems and embedded systems
Scheduling (computing)
task clustering
[INFO.INFO-ES]Computer Science [cs]/Embedded Systems
scheduling
Cluster analysis
Computer Science::Operating Systems
functionality to task mapping
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 29th Annual ACM Symposium on Applied Computing
- Accession number :
- edsair.doi.dedup.....2038fcc62a17ce4edce782d3223b7942