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Finding Response Times in a Real-Time System
Abstract
There are two major performance issues in a real-time system where a processor has a set of devices connected to it at different priority levels. The first is to prove whether, for a given assignment of devices to priority levels, the system can handle its peak processing load without losing any inputs from the devices. The second is to determine the response time for each device. There may be several ways of assigning the devices to priority levels so that the peak processing load is met, but only some (or perhaps none) of these ways will also meet the response-time requirements for the devices. In this paper, we define a condition that must be met to handle the peak processing load and describe how exact worst-case response times can then be found. When the condition cannot be met, we show how the addition of buffers for inputs can be useful. Finally, we discuss the use of multiple processors in systems for real-time applications.
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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
Analysing 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
A Survey of Research into Mixed Criticality Systems
Burns, A., & Davis, R. I. (2018) · ACM Computing Surveys · doi:10.1145/3131347 · Cited by 282
Metadata
- Authors
- Joseph, M.
- Venue
- The Computer Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-05-01
- Volume
- 29
- Issue
- 5
- Pages
- 390-395
- ISSN
- 0010-4620 (ISSN-L)
- 1460-2067
- OpenAlex
- W2086061827
- Cited by
- 1,169
- References
- 0
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Joseph, M. (1986). Finding Response Times in a Real-Time System. The Computer Journal. https://doi.org/10.1093/comjnl/29.5.390
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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.