Information Technologies and Mathematical Modelling. Queueing Theory and Applications

19th International Conference, ITMM 2020, Named after A.F. Terpugov, Tomsk, Russia, December 2-5, 2020, Revised Selected Papers

AvAlexander Dudin,Anatoly Nazarov

Häftad, Engelska, 2021

Del 1391 i serien Communications in Computer and Information Science

573 kr

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Beskrivning

This book constitutes revised selected papers of the 19th International Conference on Information Technologies and Mathematical Modelling, ITMM 2020, named after A.F. Terpugov, held in Tomsk, Russia, in December 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 82 submissions. The conference covers various aspects of information technologies, focusing on queueing theory, stochastic processes, Markov processes, renewal theory, network performance equation and network protocols.

Produktinformation

Utgivningsdatum:2021-03-27
Mått:155 x 235 x 26 mm
Vikt:664 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:431
Upplaga:21001
Förlag:Springer Nature Switzerland AG
ISBN:9783030722463

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Some special features of finite-source retrial queues with collisions, an unreliable server and impatient customers in the orbit.- Improved Priority Scheme for Unreliable Queueing System.- Simulation analysis in cognitive radio networks with unreliability and abandonment.- A Retrial Queueing System with Processor Sharing.- Multi-level MMPP as a Model of Fractal Traffic.- Asymptotic analysis of intensity of Poisson flows assembly.- On multiserver state-dependent retrial queues operating in stationary regime.- Reducing of service process dimension for a general-type multichannel network in heavy traffic.- Central Limit Theorem for an M/M/1/1 Retrial Queue with Unreliable Server and Two-Way Communication.- Three-Server Queue with Consultations by Main Server with a Buffer at the Main Server.- Simulation of railway marshalling yards based on four-phase queuing systems.- Numerical Methods to Analyses of Queuing Systems with Instantaneous Feedback, Positive Server Setup Time and Impatient Calls.- Waiting time asymptotic analysis of a M/M/1 retrial queueing system under two types of limiting conditions.- On a Single Server Queueing Inventory System with Common Life Time for Inventoried Items.- Resource Queueing System for Analysis of Network Slicing Performance with QoS-based Isolation.- Infinite markings method in queueing systems with the infinite variance of service time.- Analysis of the queuing systems with processor sharing service discipline and random serving rate coefficientsnts.- Asymptotic-diffusion analysis of multiserver retrial queueing system with priority customers.- Stability condition of a multi-class modified Erlang system.- Methods for analyzing slicing technology in 5G wireless network described as queueing system with unlimited buffer and retrial group.- The two-dimensional Output Process of Retrial Queue with Two-Way Communication.- Analysis of retrial queueing system M/G/1 with impatient customers, collisions and unreliable server using simulation.- A method for solving stationary equations for priority time-sharing service process in random environment.- Virtual Waiting Time in Single-Server Queueing Model M/G/1 with Unreliable Server and Catastrophes.- A Queueing System with Probabilistic Joining Strategy for Priority Customers.- Analysis of Closed Unreliable Queueing Networks with Batch Service.- On an MMAP/(PH,PH)/1/(∞,N) Queueing-Inventory System.- Resource Sharing Model with Minimum Allocation for the Performance Analysis of Network Slicing.- Analysis of a MAP/PH(1), PH(2)/2 Production Inventory System under the Bernoulli Vacation Scheme.- Spectral Analysis of a Discrete-Time Queueing Model with N-Policy on an Accelerated Service.- Analysis of a Single Server Queue with Interdependence of Arrival and Service Processes - a Semi-Markov Approach.

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