| 000 | 03299nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-38960-3 | ||
| 003 | DE-He213 | ||
| 005 | 20251030110818.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230926s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031389603 _9978-3-031-38960-3 |
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| 024 | 7 |
_a10.1007/978-3-031-38960-3 _2doi |
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| 050 | 4 | _aTK7867-7867.5 | |
| 072 | 7 |
_aTJFC _2bicssc |
|
| 072 | 7 |
_aTEC008010 _2bisacsh |
|
| 072 | 7 |
_aTJFC _2thema |
|
| 100 | 1 |
_aRanjbar, Behnaz. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _966270 |
|
| 245 | 1 | 0 |
_aQuality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems _h[electronic resource] / _cby Behnaz Ranjbar, Alireza Ejlali, Akash Kumar. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXVIII, 194 p. 69 illus., 67 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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. . | ||
| 650 | 0 | _aElectronic circuits. | |
| 650 | 0 |
_aEmbedded computer systems. _964625 |
|
| 650 | 0 |
_aElectronic circuit design. _966119 |
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| 650 | 1 | 4 | _aElectronic Circuits and Systems. |
| 650 | 2 | 4 | _aEmbedded Systems. |
| 650 | 2 | 4 |
_aElectronics Design and Verification. _966120 |
| 700 | 1 |
_aEjlali, Alireza. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _966271 |
|
| 700 | 1 |
_aKumar, Akash. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _965993 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031389597 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031389610 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031389627 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-38960-3 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 999 |
_c56336 _d56336 |
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