Name
Title | ||
|---|---|---|
Probabilistic Analysis For Mixed Criticality Systems Using Fixed Priority Preemptive Scheduling |
Abstract | ||
|---|---|---|
This paper introduces probabilistic analysis for fixed priority preemptive scheduling of mixed criticality systems on a uniprocessor using the Adaptive Mixed Criticality (AMC) and Static Mixed Criticality (SMC) schemes. We compare this analysis to existing deterministic methods, highlighting the performance gains that can be obtained by utilising more detailed information about worst-case execution time estimates described in terms of probability distributions. Besides improvements in schedulability, we also demonstrate significant gains in terms of the budgets that can be allocated to LO-criticality tasks. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3139258.3139276 | PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON REAL-TIME NETWORKS AND SYSTEMS (RTNS 2017) |
Keywords | Field | DocType |
Real-Time Systems, Mixed Criticality, Schedulability Analysis, Probabilities, Fixed Priority | Uniprocessor system,Preemption,Computer science,Mixed criticality,Real-time computing,Probabilistic analysis of algorithms,Probability distribution,Execution time,Distributed computing | Conference |
Citations | PageRank | References |
3 | 0.36 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dorin Maxim | 1 | 111 | 6.67 |
| Robert I. Davis | 2 | 1824 | 93.74 |
| Liliana Cucu | 3 | 171 | 8.91 |
| Arvind Easwaran | 4 | 613 | 38.60 |