Cover image for Information Technologies and Mathematical Modelling. Queueing Theory and Applications 21st International Conference, ITMM 2022, Karshi, Uzbekistan, October 25-29, 2022, Revised Selected Papers
Title:
Information Technologies and Mathematical Modelling. Queueing Theory and Applications 21st International Conference, ITMM 2022, Karshi, Uzbekistan, October 25-29, 2022, Revised Selected Papers
Author:
Dudin, Alexander. editor. (orcid)
ISBN:
9783031329906
Edition:
1st ed. 2023.
Physical Description:
XII, 239 p. 79 illus., 57 illus. in color. online resource.
Series:
Communications in Computer and Information Science, 1803
Contents:
Limit Theorems for the Positive Recurrent Q-process -- Numerical Analysis of Shortest Queue Problem for Time-Scale Queueing System with a Small Parameter -- Mathematical Modeling of Virtual Machine Life Cycle using Branching Renewal Process -- On Modeling a Section of a Single-Track Railway Network Based on Queuing Networks -- Asymptotic Analysis of a Multiserver Retrial Queue with Disasters in the Service Block -- Refined Limit Theorems for the Critical Continuous-Time Markov Branching Systems -- Retrial Queue MMPP/M/1 with Server Switching -- Account of Disasters in Analysis of Queueing Systems Modeled by the Quasi-Birth-and-Death-Process -- Retrial Queue with Two-Way Communication and Collisions -- Real Waiting Time in Single-server Resource Queue with Markovian Arrival Process -- Controlled Queueing Systems G/G/1 with Time Shift -- Analysis of Retrial Queueing System with Two-Way Communication in Different Scenarios using Simulation -- An Explicit Solution for an Inventory Model with Server Interruption and Retrials -- Asymptotic Analysis of the M/M/1/N-1 Retrial System with Priority and Feedback -- Modelling of a MAP/PH(1),PH(2)/2 Production Inventory System with Multiple Servers and Production Vacations -- A Discrete Time Perishable Inventory System under (s, S) Policy and Age-Dependent-Requests -- N-Policy on a Retrial Inventory System -- Research of Dynamic RQ system M/M/1 with Unreliable Server -- Estimating the Distribution Function Using Parametric Methods in Informative Model of Random Censorship from Both Sides.
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