3 papers
cs.OS2024
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning
Bruno Mendes, Pedro F. Souto, Pedro C. Diniz
Adaptive Mixed-Criticality (AMC) is a fixed-priority preemptive scheduling algorithm for mixed-criticality hard real-time systems. It dominates many other scheduling algorithms for…
cs.DC2024
Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors
Shardul Lendve, Konstantinos Bletsas, Pedro F. Souto
Parallel real-time embedded applications can be modelled as directed acyclic graphs (DAGs) whose nodes model subtasks and whose edges model precedence constraints among subtasks. E…
cs.OS2017
Mixed-criticality Scheduling with Dynamic Redistribution of Shared Cache
Muhammad Ali Awan, Konstantinos Bletsas, Pedro F. Souto +2
The design of mixed-criticality systems often involvespainful tradeoffs between safety guarantees and performance.However, the use of more detailed architectural modelsin the desig…