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Enhancing Stochastic Petri Nets with Reconfigurability : Modeling, Analysis and Performance Evaluation



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Autore: Tigane Samir Visualizza persona
Titolo: Enhancing Stochastic Petri Nets with Reconfigurability : Modeling, Analysis and Performance Evaluation Visualizza cluster
Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , 2025
©2025
Edizione: 1st ed.
Descrizione fisica: 1 online resource (208 pages)
Altri autori: KahloulLaid  
MelloukAbdelhamid  
Sommario/riassunto: This book explores the world of reconfigurable stochastic Petri nets (RSPNs), a powerful method for modeling and verifying complex, dynamic and reconfigurable systems. As modern discrete-event systems become increasingly flexible, requiring structural adaptability at runtime, classical Petri nets are proving insufficient. This book presents innovative extensions to Petri nets, offering enhanced modeling capabilities for reconfigurable systems, while ensuring efficient verification. Through a structured approach, this book introduces reconfigurable generalized stochastic Petri nets (RecGSPNs), an advanced framework that integrates reconfigurability while preserving crucial system properties such as liveness, boundedness and deadlock-freedom. This book systematically explores modeling techniques, including stochastic reward nets and dynamic topology transformations, demonstrating their effectiveness through quantitative and qualitative analyses. By addressing challenges in state-space explosion and computational complexity, this book provides essential methodologies for researchers and practitioners working on reconfigurable systems, and serves as a valuable resource for those working in network security, manufacturing systems and distributed computing, where dynamic reconfigurations are essential.
Titolo autorizzato: Enhancing Stochastic Petri Nets with Reconfigurability  Visualizza cluster
ISBN: 1-394-38866-7
1-394-38864-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911019972203321
Lo trovi qui: Univ. Federico II
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Serie: ISTE Invoiced Series