Titlebook: Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems; Behnaz Ranjbar,Alireza Ejlali,Akash Kumar Book 2024

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Learning-Based Drop-Aware Mixed-Criticality Task Scheduling,k execution of HC tasks. Accordingly, this chapter proposes a novel optimistic scheme that introduces a learning-based drop-aware task scheduling mechanism, which carefully monitors the alterations in the behavior of the MC system at run-time, to exploit the generated dynamic slacks for reducing the

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Learning-Based Drop-Aware Mixed-Criticality Task Scheduling,anism, which carefully monitors the alterations in the behavior of the MC system at run-time, to exploit the generated dynamic slacks for reducing the LC tasks’ penalty and preventing frequent drops of LC tasks in the future.

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