Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields

Analysis of a Retrial Queue with a Finite Number of Sources and Controlled Admission of an Additional Flow of Customers.- Properties of an Embedded Markov Chain for an M(t)/M(t)/1/8 Type Process with Periodic Intensities.- Analysis of a Multi-server Retrial Queue with Diverse Servers and Batch Markovian Arrival Process.- Investigation of a Retrial Queueing System with Two-Way Communication, an Unreliable Server, and Impatient Customers in Diverse Scenarios.- Transient Asymptotic Analysis of M/M2/8 Queueing System.- Research on a Retrial Queuing System with Negative Customers and a Recovery Block for Distorted Positive Customers.- Queueing System with an Unreliable Server and Non-exponential Repair Time.- Stochastic Analysis of a Production Inventory System with Deteriorating Items, Having MAP Arrivals, PH-Type Service, Unreliable Server and Retrial of Customers.- Performance Analysis of a Single-Server Queueing System with Service Interruptions, Self-Recovery, and Protected Service in a Random Environment.- Queueing Analysis of a Two-Server System with Interruptions, Vacation Scheduling and Standby Server Support.- A MAP/PH/1 Production Inventory Model with Retrials, Service Interruptions and Adaptive Production Rates.- Optimal Reliability Design of a k-out-of-n:G System with a Single Server under Multiple Vacations, External Customer Service with Retrials, and N-Policy.- Spatial Synchronous Markovian Arrival Process (Spatial SynchMAP).- Information Spreading in Random Graphs Evolving by Norros-Reittu.- Cox Model-Based Survival Analysis for Predicting Infrastructure Failures in Smart Cities under Right Censored Data Conditions.- Signal Filtering Modelled by SDE with Small Colour Noises.- Cram´er-von Mises-Smirnov Test for Mixtures of Weibull Distributions.- Comparative Analysis of Various Versions of Computational Kernel Algorithms for Computer Approximation of Density for a Given Sample.- A Model Selection Method based on a Neural Networks with Power Parameters for Signal Processing.- Analysis of the MPTCP Protocol with its Implementation in PNETlab.- On the Estimation of Tolerance Intervals based on Sample Data.