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Orientador(es)
Resumo(s)
In this work we develop an offline analysis of periodic mixed-criticality real-time systems. We develop a graph-based
exploratory method to non-preemptively schedule multiple criticality tasks. The exploration process obtains a schedule for each
periodic instance of the tasks. The schedule adjusts for criticality mode changes to maximize the resource usage by allowing lower
criticality executions. At the same time, it ensures that the schedulability of other higher criticality jobs is never compromised.
We also quantify the probabilities associated to a criticality mode change by using task probabilistic Worst Case Execution Times.
A method to reduce the offline complexity is also proposed.
Descrição
Palavras-chave
Real-Time System Mixed Criticality Graph Probabilistic Worst Case Execution Time
