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008			230926s2024 sz | fo |||| 0|eng d
020			_a9783031389603
024	7		_a10.1007/978-3-031-38960-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7867 _b2024 EB
100	1		_aRanjbar, Behnaz _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9690288
245	1	0	_aQuality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems _cby Behnaz Ranjbar, Alireza Ejlali, Akash Kumar
250			_a1st ed. 2024
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_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.
520			_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. .
988			_aSpringer_Engineering_2024
650		7	_2embne _9139610 _aCircuitos electrónicos
700	1		_9690289 _aEjlali, Alireza _eautor
700	1		_9673021 _aKumar, Akash _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-38960-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2024 _dz _eb _zSI