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Optimizing Per-Core Priorities to Minimize End-To-End Latencies

Contributo in Atti di convegno
Data di Pubblicazione:
2024
Abstract:
Logical Execution Time (LET) allows decoupling the schedule of real-time periodic tasks from their communication, with the advantage of isolating the communication pattern from the variability of the schedule. However, when such tasks are organized in chains, the usage of LET at the task level does not necessarily transfer the same LET properties to the chain level. In this paper, we extend a LET-like model from tasks to chains spanning over multiple cores. We leverage the designed constant latency chains to optimize per-core priority assignment. Finally, we also provide a set of heuristic algorithms, that are compared in a large-scale experimental evaluation.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Cause-Effect Chains; Data Age; Design Optimization; End-to-End Latency; Logical Execution Time; Reaction Time; Task Priorities
Elenco autori:
Francesco Paladino; Alessandro Biondi; Enrico Bini; Paolo Pazzaglia
Autori di Ateneo:
BINI Enrico
Link alla scheda completa:
https://iris.unito.it/handle/2318/2000912
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/2000912/1350332/Bini_2024-ECRTS-prio.pdf
Titolo del libro:
Leibniz International Proceedings in Informatics, LIPIcs
Pubblicato in:
LEIBNIZ INTERNATIONAL PROCEEDINGS IN INFORMATICS
Series
Progetto:
Future HPC & Big Data-finanziato con fondi PNRR MUR-M4C2-Investimento 1.4-Avviso"Centri Nazionali"-D.D.n.3138 del 16/12/2021 rettificato con DD n.3175 del 18/12/2021,codice MUR CN00000013, CUP D13C22001340001
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