The DOI matches its Crossref record.
Applying new scheduling theory to static priority pre-emptive scheduling
Abstract
The paper presents exact schedulability analyses for real-time systems scheduled at runtime with a static priority pre-emptive dispatcher. The tasks to be scheduled are allowed to experience internal blocking (from other tasks with which they share resources) and (with certain restrictions) to release jitter, such as waiting for a message to arrive. The analysis presented is more general than that previously published and subsumes, for example, techniques based on the Rate Monotonic approach. In addition to presenting the relevant theory, an existing avionics case study is described and analysed. The predictions that follow from this analysis are seen to be in close agreement with the behaviour exhibited during simulation studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Holistic schedulability analysis for distributed hard real-time systems
Tindell, K., & Clark, J. (1994) · Microprocessing and Microprogramming · doi:10.1016/0165-6074(94)90080-9 · Cited by 759
Self-citationAnalysing real-time communications: controller area network (CAN)
Tindell, Hansson, & Wellings (1994) · Proceedings Real-Time Systems Symposium REAL-94 · doi:10.1109/real.1994.342710 · Cited by 427
Calculating controller area network (can) message response times
Tindell, K., Burns, A., & Wellings, A. J. (1995) · Control Engineering Practice · doi:10.1016/0967-0661(95)00112-8 · Cited by 420
Self-citationA Survey of Research into Mixed Criticality Systems
Burns, A., & Davis, R. I. (2018) · ACM Computing Surveys · doi:10.1145/3131347 · Cited by 282
Self-citation
Metadata
- Authors
- Audsley, N., Burns, A., Richardson, M., Tindell, K., & Wellings, A. J.
- Venue
- Software Engineering Journal
- Published
- 1993
- Volume
- 8
- Issue
- 5
- Pages
- 284
- ISSN
- 0268-6961 (ISSN-L)
- OpenAlex
- W2042979415
- Cited by
- 1,106
- References
- 0
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Applying new scheduling theory to static priority pre-emptive scheduling. https://app.cochat.ai/papers/10.1049/sej.1993.0034
- The paper
- Audsley, N., Burns, A., Richardson, M., Tindell, K., & Wellings, A. J. (1993). Applying new scheduling theory to static priority pre-emptive scheduling. Software Engineering Journal. https://doi.org/10.1049/sej.1993.0034
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
