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Analytical and Stochastic Modelling Techniques and Applications, 1st ed. 2020 25th International Conference, ASMTA 2019, Moscow, Russia, October 21–25, 2019, Proceedings Programming and Software Engineering Series

Langue : Anglais

Coordonnateurs : Gribaudo Marco, Sopin Eduard, Kochetkova Irina

Couverture de l’ouvrage Analytical and Stochastic Modelling Techniques and Applications
This book constitutes the refereed proceedings of the 25th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2019, held in Moscow, Russia, in October 2019. Methods of analytical and stochastic modelling are widely used in engineering to assess and design various complex systems, like computer and communication networks, and manufacturing systems. The 13 full papers presented in this book were carefully reviewed and selected from 22 submissions. The papers detail a diverse range of analysis techniques, including Markov processes, queueing theoretical results, reliability of stochastic systems, stochastic network calculus, and wide variety of applications.
Algorithmic Analysis of a Two-Class Multi-Server HeterogeneousQueueing System with a Controllable Cross-Connectivity.- Queueing Analysis of Cognitive Radio Networks with Finite Number ofSecondary Users.- On Reliability of a Double Redundant Renewable System.- Queueing Analysis for a Mixed Model of Carsharing and Ridesharing.- An All Geometric Discrete-Time Multiserver Queueing System.- Dealing with Dependence in Stochastic Network Calculus { UsingIndependence as a Bound.- Map-Reduce Process Algebra: a Formalism to Describe Directed.- Acyclic Graph Task-Based Jobs in Parallel Environments.- Performance Evaluation of Scheduling Policies for the DRCMPSP.- An Algorithm for Improved Proportional-Fair Utility for Vehicular Users.- Method of Asymptotic Di usion Analysis of Queueing System MjMjNwith feedback.- Exact Performance Analysis of Retrial Queues with Collisions.- In nite-Server Bulk Queue with MMPP Arrivals.- Dissipativity Of The Quantum Measurement Model.

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15.5x23.5 cm

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