Analytical and Stochastic Modelling Techniques and Applications - 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2017, held in Newcastle-upon-Tyne UK, in July 2017.The 14 full papers presented in this book were carefully reviewed and selected from 27 submissions. The scope of the conference is on following topics: analytical, numerical and simulation algorithms for stochastic systems, including Markov processes, queueing networks, stochastic Petri nets, process algebras, game theoretical models.

Sommario

Stochastic Modelling.- Markov Processes.-  Performance Evaluation.- Simulation.- Queueing Theory.- Network Performance Analysis.- Distributed Computing.-  Stochastic Petri Nets.

Riassunto

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2017, held in Newcastle-upon-Tyne UK, in July 2017.The 14 full papers presented in this book were carefully reviewed and selected from 27 submissions. The scope of the conference is on following topics: analytical, numerical and simulation algorithms for stochastic systems, including Markov processes, queueing networks, stochastic Petri nets, process algebras, game theoretical models.

Dettagli sul prodotto

• Con la collaborazione di: Matthew Forshaw (Editore), Nigel Thomas (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 09.06.2017
• EAN: 9783319614274
• ISBN: 978-3-31-961427-4
• Pagine: 213
• Dimensioni: 157 mm x 13 mm x 237 mm
• Peso: 349 g
• Illustrazioni: X, 213 p. 65 illus.
• Serie: Lecture Notes in Computer Science; Programming and Software Engineering
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Altro; C, computer science, Mathematical Applications in Computer Science, Probability Theory and Stochastic Processes, Probability & statistics, Mathematical & statistical software, Probabilities, Stochastics, Probability Theory, Computer science—Mathematics, Math Applications in Computer Science, Computer simulation, Computer modelling & simulation, Simulation and Modeling, Markov processes, Markov model, Markov Process, Computer Modelling