A Survey of Probabilistic Schedulability Analysis Techniques for Real-Time Systems

Autor: Davis, Robert Ian, Cucu-Grosjean, Liliana
Přispěvatelé: University of York [York, UK], Adapter le raisonnement pire cas à différentes criticités (KOPERNIC), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Models and methods of analysis and optimization for systems with real-time and embedded contraints (AOSTE2 ), The research that went into writing this survey was funded, in part, by the Inria International Chair program and the ESPRC grant MCCps (EP/P003664/1).
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Leibniz Transactions on Embedded Systems
Leibniz Transactions on Embedded Systems, European Design and Automation Association (EDAA) \ EMbedded Systems Special Interest Group (EMSIG) and Schloss Dagstuhl--Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing., 2019, 6 (1), pp.53. ⟨10.4230/LITES-v006-i001-a004⟩
Leibniz Transactions on Embedded Systems, 2019, 6 (1), pp.53. ⟨10.4230/LITES-v006-i001-a004⟩
ISSN: 2199-2002
DOI: 10.4230/lites-v006-i001-a004
Popis: This survey covers schedulability analysis techniques for probabilistic real-time systems. It reviews the key results in the field from its origins in the late 1980s to the latest research published up to the end of August 2018. The survey outlines fundamental concepts and highlights key issues. It provides a taxonomy of the different methods used, and a classification of existing research. A detailed review is provided covering the main subject areas as well as research on supporting techniques. The survey concludes by identifying open issues, key challenges and possible directions for future research.
Leibniz Transactions on Embedded Systems, Vol 6, No 1 (2019)
Databáze: OpenAIRE
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