03111nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001800172072001700190072002300207072001600230100008500246245016300331250001800494264006900512300006700581336002600648337002600674338003600700347002400736505040800760520081501168650002501983650003802008650003802046650003702084650002202121650004802143700008502191700008202276710003402358773002602392776003602418776003602454776003602490856004602526912001402572912001402586999001702600978-3-031-38960-3DE-He21320251030110818.0cr nn 008mamaa230926s2024    sz |    s    |||| 0|eng d  a97830313896039978-3-031-38960-37 a10.1007/978-3-031-38960-32doi 4aTK7867-7867.5 7aTJFC2bicssc 7aTEC0080102bisacsh 7aTJFC2thema1 aRanjbar, Behnaz.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut96627010aQuality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systemsh[electronic resource] /cby Behnaz Ranjbar, Alireza Ejlali, Akash Kumar.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVIII, 194 p. 69 illus., 67 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aIntroduction -- 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.  aThis 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. . 0aElectronic circuits. 0aEmbedded computer systems.964625 0aElectronic circuit design.96611914aElectronic Circuits and Systems.24aEmbedded Systems.24aElectronics Design and Verification.9661201 aEjlali, Alireza.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9662711 aKumar, Akash.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9659932 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303138959708iPrinted edition:z978303138961008iPrinted edition:z978303138962740uhttps://doi.org/10.1007/978-3-031-38960-3  aZDB-2-ENG  aZDB-2-SXE  c56336d56336