The Best of Both Worlds: Analytically-Guided Simulation of HPnGs for Optimal Reachability

Niehage, Mathis; Remke, Anne

Research article in edited proceedings (conference) | Peer reviewed

Abstract

Efficient reachability analysis, as well as statistical model checking have been proposed for the evaluation of Hybrid Petri nets with general transitions (HPnG). Both have different (dis-)advantages. The performance of statistical simulation suffers in large models and the number of required simulation runs to achieve a relatively small confidence interval increases considerably. The approach introduced for analytical reachability analysis of HPnGs however, becomes infeasible for a large number of random variables. To overcome these limitations, this paper applies statistical simulation for optimal reachability defined as until property in Stochastic Time Logic to a pre-computed symbolic state-space representation of HPnGs, i.e., the Parametric Location Tree (PLT), which has previously been used for model checking HPnGs. A case study on a water tank model shows the feasiblity of the approach and illustrates its advantages w.r.t. the original simulation and analysis approaches.

Details about the publication

EditorsKalyvianaki, Evangelia; Paolieri, Marco
Book titlePerformance Evaluation Methodologies and Tools - 16th EAI International Conference, VALUETOOLS 2023, Crete, Greece, September 6–7, 2023, Proceedings
Page range61-81
PublisherSpringer
Place of publicationCham
Title of seriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ISSN: 1867-8211)
Volume of series539
StatusPublished
Release year2024
Language in which the publication is writtenEnglish
Conference16th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2023, Crete, Greece
ISBN9783031488849
DOI10.1007/978-3-031-48885-6_5
KeywordsHybrid Petri nets with general transitions; State-space representation; Statistical simulation

Authors from the University of Münster

Niehage, Mathis Friedrich
Professorship for practical computer science (Prof. Remke)
Remke, Anne
Professorship for practical computer science (Prof. Remke)

Preisverleihungen erhalten für die Publikation

Best paper award 2023
Awarded by: Conference Program Committee of the European Alliance for Innovation (EAI)
Award given to: Niehage, Mathis; Remke, Anne
Announced at: 07/09/2023 | Date of awarding: 07/09/2023
Type of distinction: Best publication award