Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems

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. 
Provides an overview of the state-of-the-art in Mixed-Criticality research, related to Quality-of-Service improvement;Describes a novel theoretical approach to obtaining Worst-Case Execution Times (WCETs);Utilizes machine learning models and objective optimization techniques to improve the resource utilization and QoS.