Davis, Robert Ian orcid.org/0000-0002-5772-0928 and Cucu-Grosjean, Liliana (2019) A Survey of Probabilistic Timing Analysis Techniques for Real-Time Systems. LITES: Leibniz Transactions on Embedded Systems. pp. 1-60. ISSN 2199-2002
Abstract
This survey covers probabilistic timing analysis techniques for real-time systems. It reviews and critiques the key results in the field from its origins in 2000 to the latest research published up to the end of August 2018. The survey provides a taxonomy of the different methods used, and a classification of existing research. A detailed review is provided covering the main subject areas: static probabilistic timing analysis, measurement-based probabilistic timing analysis, and hybrid methods. In addition, research on supporting mechanisms and techniques, case studies, and evaluations is also reviewed. The survey concludes by identifying open issues, key challenges and possible directions for future research.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Keywords: | Probabilistic,timing analysis,real-time |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number EPSRC EP/P003664/1 |
Depositing User: | Pure (York) |
Date Deposited: | 23 Jun 2020 15:50 |
Last Modified: | 03 Dec 2024 10:59 |
Published Version: | https://doi.org/10.4230/LITES-v006-i001-a003 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.4230/LITES-v006-i001-a003 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162338 |