02969nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001800153072001700171072002300188072001600211100007800227245016300305250001800468264006900486300006700555336002600622337002600648338003600674347002400710505040800734520081501142650002501957650003101982650003102013650003702044650002202081650004102103700007802144700007502222710003402297773002602331776003602357776003602393776003602429856004602465978-3-031-38960-3DE-He21320251030110818.0cr nn 008mamaa230926s2024    sz |    s    |||| 0|eng d  a97830313896037 a10.1007/978-3-031-38960-32doi 4aTK7867-7867.5 7aTJFC2bicssc 7aTEC0080102bisacsh 7aTJFC2thema1 aRanjbar, Behnaz.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aQuality-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. 0aElectronic circuit design.14aElectronic Circuits and Systems.24aEmbedded Systems.24aElectronics Design and Verification.1 aEjlali, Alireza.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aKumar, Akash.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303138959708iPrinted edition:z978303138961008iPrinted edition:z978303138962740uhttps://doi.org/10.1007/978-3-031-38960-3