Analytical and Stochastic Modelling Techniques and Applications [electronic resource] : 24th International Conference, ASMTA 2017, Newcastle-upon-Tyne, UK, July 10-11, 2017, Proceedings /

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Material type: Text

TextSeries: Programming and Software Engineering ; 10378Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: X, 213 p. 65 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319614281

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004.0151 23

LOC classification:

QA76.9.M35

Online resources:

Click here to access online

Contents:

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

In: Springer Nature eBookSummary: 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.

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

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.

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