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

PublisherKalyvianaki, 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
Publishing companySpringer
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)