Queueing Systems with Moving Servers
Theory, Methods, and Applications
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 27 October 2025
- ISBN 9781041089285
- Binding Hardback
- No. of pages256 pages
- Size 234x156 mm
- Weight 630 g
- Language English
- Illustrations 51 Illustrations, black & white; 22 Illustrations, color; 48 Halftones, black & white; 11 Halftones, color; 3 Line drawings, black & white; 11 Line drawings, color; 24 Tables, black & white 792
Categories
Short description:
Various queuing theory methods have been employed in understanding and managing traffic flows, airports and shipping facilities, communication systems, vertical transportation. The book is dedicated to constructing and investigating mathematical models of queueing systems with moving servers.
MoreLong description:
Queuing theory methods are employed in managing traffic flows, shipping facilities, communication systems, vertical transportation, and others. The study of such systems is outside the framework of the methods of classical queuing theory; thus, new methodologies, such as systems with moving servers, have evolved. These systems are different and have complicated structures, but they have one common ideology, i.e. systems with moving servers. The book is dedicated to constructing and investigating mathematical models of queueing systems with moving servers.
It is meant for researchers who are working in the application of mathematical methods in various fields (traffic, communication systems, and others), mathematicians in the field of queueing systems, also researchers who are interested in the construction and investigation of mathematical models of queueing systems with moving servers. The theoretical results are demonstrated on numerical examples.
MoreTable of Contents:
Preface. Introduction and Literature Review. 1. Mathematical Models of Particles, Describing the Queuing Systems with Moving Servers. 2. Control by Queuing Systems with Moving Servers. 3. Application of the Theory of Queuing Systems with Moving Servers to Lifts’ Systems. 4. Statistical Analysis of Simulation Data of Queuing Systems with Moving Servers. Reference.
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