Proceedings of the 22nd International Conference on Real-Time Networks and Systems 2014
DOI: 10.1145/2659787.2659812
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SMT-based Task- and Network-level Static Schedule Generation for Time-Triggered Networked Systems

Abstract: In Ethernet-based time-triggered networks, like TTEthernet, a global communication scheme, for which the schedule synthesis is known to be an NP-complete problem, establishes contention-free windows for the exchange of messages with guaranteed low latency and minimal jitter. However, in order to achieve end-to-end determinism at the application level, software tasks running on the end-system nodes need to obey a similar execution scheme with tight dependencies towards the network domain. In this paper we addre… Show more

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Cited by 69 publications
(26 citation statements)
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“…Our paper also develops over previous work on applying exact solving techniques (ILP/SMT/CP, more classical branch-and-cut, model checking) to off-line real-time scheduling problems [12,6,8]. These previous results all focus on either the (improved) modeling of a given scheduling problem or on the improvement of the solver algorithm.…”
Section: Introductionmentioning
confidence: 85%
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“…Our paper also develops over previous work on applying exact solving techniques (ILP/SMT/CP, more classical branch-and-cut, model checking) to off-line real-time scheduling problems [12,6,8]. These previous results all focus on either the (improved) modeling of a given scheduling problem or on the improvement of the solver algorithm.…”
Section: Introductionmentioning
confidence: 85%
“…As a baseline, we employ for all problems classical encodings, similar to the one of [6]. In the case of parallelized code running on homogenous architectures, this encoding is enriched with state-of-the-art symmetry-breaking constraints [13] that largely reduce solving time.…”
Section: Ilp/smt/cp Modeling Of Scheduling Problemsmentioning
confidence: 99%
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“…Different techniques have been adopted for synthesis of time-triggered schedules for medium size systems, such as constraint programming (CP) solvers [25], integer linear programming (ILP) solvers [14], and satisfiability modulo theory (SMT) solvers [18]. For systems or larger size, SMT solvers have been combined with iterative/segmentation techniques yielding good results [11,4,26,23,12], even if compared to ILP.…”
Section: Introductionmentioning
confidence: 99%