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Description
This book addresses the challenges associated with efficient Mixed-Criticality (MC) system design. We focus on application analysis through execution time analysis and task scheduling analysis in order to execute more low-criticality tasks in the system, i.e., improving the Quality-of-Service (QoS), while guaranteeing the correct execution of high-criticality tasks. Further, this book addresses the challenge of enhancing QoS using parallelism in multi-processor hardware platforms.
Table of Contents
Introduction.- Preliminaries and Literature Reviews.- Bounding Time in Mixed-Criticality Systems.- Safety- and Task-Drop-Aware Mixed-Criticality Task Scheduling.- Learning-Based Drop-Aware Mixed-Criticality Task Scheduling.- Fault-Tolerance and Power-Aware Multi-Core Mixed-Criticality System Design.- QoS- and Power-Aware Run-Time Scheduler for Multi-Core Mixed-Criticality Systems.- Conclusion.
