The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
A Survey of Research into Mixed Criticality Systems
Open accessAbstract
This survey covers research into mixed criticality systems that has been published since Vestal’s seminal paper in 2007, up until the end of 2016. The survey is organised along the lines of the major research areas within this topic. These include single processor analysis (including fixed priority and Earliest Deadline First (EDF) scheduling, shared resources, and static and synchronous scheduling), multiprocessor analysis, realistic models, and systems issues. The survey also explores the relationship between research into mixed criticality systems and other topics such as hard and soft time constraints, fault tolerant scheduling, hierarchical scheduling, cyber physical systems, probabilistic real-time systems, and industrial safety standards.
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Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot: An International Journal · doi:10.1108/ir.1999.04926fae.001 · Cited by 38,662
Scheduling algorithms for multiprogramming in a hard-real-time environment
Liu, C. L., & Layland, J. W. (1973) · Journal of the ACM · doi:10.1145/321738.321743 · Cited by 8,433
Priority inheritance protocols: an approach to real-time synchronization
Sha, L., Rajkumar, R., & Lehoczky, J. P. (1990) · IEEE Transactions on Computers · doi:10.1109/12.57058 · Cited by 2,244
Integrity Considerations for Secure Computer Systems
Biba, K. J. (1977) · Defense Technical Information Center (DTIC) · Cited by 1,221
Finding Response Times in a Real-Time System
Joseph, M. (1986) · The Computer Journal · doi:10.1093/comjnl/29.5.390 · Cited by 1,169
On the complexity of fixed-priority scheduling of periodic, real-time tasks
Leung, J. Y.-T., & Whitehead, J. (1982) · Performance Evaluation · doi:10.1016/0166-5316(82)90024-4 · Cited by 1,154
Applying new scheduling theory to static priority pre-emptive scheduling
Audsley, N., Burns, A., Richardson, M., Tindell, K., & Wellings, A. J. (1993) · Software Engineering Journal · doi:10.1049/sej.1993.0034 · Cited by 1,106
Self-citationController Area Network (CAN) schedulability analysis: Refuted, revisited and revised
Davis, R. I., Burns, A., Bril, R. J., & Lukkien, J. J. (2007) · Real-Time Systems · doi:10.1007/s11241-007-9012-7 · Cited by 786
Self-citationTentative steps toward a development method for interfering programs
Jones, C. B. (1983) · ACM Transactions on Programming Languages and Systems · doi:10.1145/69575.69577 · Cited by 617
Speed is as powerful as clairvoyance
Kalyanasundaram, B., & Pruhs, K. (2000) · Journal of the ACM · doi:10.1145/347476.347479 · Cited by 561
Cited by
Virtualizing mixed-criticality systems: A survey on industrial trends and issues
Cinque, M., Cotroneo, D., De Simone, L., & Rosiello, S. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2021.12.002 · Cited by 80
Lumpp, F., Fummi, F., Patel, H. D., & Bombieri, N. (2022) · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9981581 · Cited by 11
Metadata
- Authors
- Burns, A., & Davis, R. I.
- Venue
- ACM Computing Surveys
- Published
- 2017-11-22
- Volume
- 50
- Issue
- 6
- Pages
- 1-37
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2769328306
- Cited by
- 282
- References
- 34
- FWCI
- 30.37
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.