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

Niehage, Mathis; Remke, Anne

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

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 zur Publikation

Herausgeber*innenKalyvianaki, Evangelia; Paolieri, Marco
BuchtitelPerformance Evaluation Methodologies and Tools - 16th EAI International Conference, VALUETOOLS 2023, Crete, Greece, September 6–7, 2023, Proceedings
Seitenbereich61-81
VerlagSpringer
ErscheinungsortCham
Titel der ReiheLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ISSN: 1867-8211)
Nr. in Reihe539
StatusVeröffentlicht
Veröffentlichungsjahr2024
Sprache, in der die Publikation verfasst istEnglisch
Konferenz16th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2023, Crete, Griechenland
ISBN9783031488849
DOI10.1007/978-3-031-48885-6_5
StichwörterHybrid Petri nets with general transitions; State-space representation; Statistical simulation

Autor*innen der Universität Münster

Niehage, Mathis Friedrich
Professur für Praktische Informatik (Prof. Remke)
Remke, Anne
Professur für Praktische Informatik (Prof. Remke)

Preisverleihungen erhalten für die Publikation

Best paper award 2023
Verliehen von: Conference Program Committee of the European Alliance for Innovation (EAI)
Verliehen an: Niehage, Mathis; Remke, Anne
Bekannt gegeben am: 07.09.2023 | Verleihung erfolgte am: 07.09.2023
Art der Preisverleihung: Preis für beste Veröffentlichung