Fr. 103.00

Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields - 23rd International Conference, ITMM 2024, Karshi, Uzbekistan, October 20-26, 2024, Revised Selected Papers

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book constitutes the refereed proceedings of the 23rd International Conference on Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields, ITMM 2024, held in Karshi, Uzbekistan, during October 20 26, 2024.

The 26 full papers included in this book were carefully reviewed and selected from 136 submissions. The papers are devoted to new results in queueing theory and its applications, and also related areas of probabilistic analysis. Its target audience includes specialists in probabilistic theory, random processes, and mathematical modeling as well as engineers engaged in logical and technical design and operational management of data processing systems, communication, and computer networks.

Sommario

.- On the application of a queuing network to simulate container transshipment in a sea container terminal.
.- On a limiting structure of discrete-time stochastic branching systems with the eventually awaiting death moment.
.- A Power-Law Adjustable Coefficient Dynamic Pricing Model Considering Shortages and Leftovers.
.- Inferences of Modularity for Graphs Evolved by the Clustering Attachment Model.
.- Queueing model with correlated arrival process, simultaneous service of a finite number of customers, and pre-processing, post-processing and co-processing of customers.
.- Reliability Analysis of a k-out-of-n System with External Service and Non-Preemptive Priority under N-Policy with Multi-Server Vacations.
.- On Recursive Marginal and MAP Inference in State Observation Models.
.- Asymptotic Analysis of Sojourn Time in Retrial Queueing System with Non-persistent Customers and Feedback.
.- Implementation of a Convolution Algorithm to the Evaluation of Stationary Characteristics of Resource Loss System with Resource-Dependent Service Times.
.- Diffusion Approximation for the MAP/GI/1 Retrial Queue with Two-Way Communication.
.- Investigation of M/G/1//N system with impatient customers, unreliable primary and a backup server.
.- G-Network with Rewards as a Cluster System Model.
.- On Application of Karamata Slowly Varying Functions in the Theory of Noncritical Markov Branching Systems.
.- Asymptotic analysis of a multiserver retrial queue with disasters.
.- Analysis of a Batch Arrival Queue with Power Saving Mode.
.- Lumping and Numerical Analysis for Multi-Server Job Model.
.- Unloading time martingale relations in a cyclic queueing system in random environment.
.- On estimation of some functional of the distribution function for dependent incomplete observations in queuing theory.
.- Analysis of a queueing system providing service to regular and ad hoc clients.
.- Modeling and analysis of cyclic control of periodic conflict flows.
.- Statistical Testing for Long-Range Dependence in the Workload of a Single-Server Queue.
.- Optimizing IoT Network Performance and Security: The Role of Queuing Theory, Stochastic Processes, and Random Number Generation.
.- Algorithmic Approach to Study Queueing-Inventory Systems with Queue-Dependent Hybrid Replenishment Policy.
.- A Stochastic Approach for Optimizing a Discrete Time (s, S) Perishable Inventory System with Modified N-Policy.
.- Algorithm for calculating the stationary probability distribution of a system M2 1 (N1, N2) with priorities.
.- Profit Optimization of a Perishable Inventory System with Retrial of Customers and Unreliable Server.

Riassunto

This book constitutes the refereed proceedings of the 23rd International Conference on Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields, ITMM 2024, held in Karshi, Uzbekistan, during October 20–26, 2024.

The 26 full papers included in this book were carefully reviewed and selected from 136 submissions. The papers are devoted to new results in queueing theory and its applications, and also related areas of probabilistic analysis. Its target audience includes specialists in probabilistic theory, random processes, and mathematical modeling as well as engineers engaged in logical and technical design and operational management of data processing systems, communication, and computer networks.

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