A01=Joti Lal Jain
A01=Sri Gopal Mohanty
A01=Walter Bohm
advanced queueing theory applications
Arrival Instant
Author_Joti Lal Jain
Author_Sri Gopal Mohanty
Author_Walter Bohm
birth
Birth Death Model
busy
Busy Period
Category=PBT
completion
Continued Fraction Method
Diagonal Steps
Differential Difference Equations
discrete
Discrete Time Queues
distribution
Distribution Function
Early Arrival System
Elapsed Service Time
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Erlangian Models
Global Balance Equations
Interarrival Times
Late Arrival System
Lattice Path
Markov Chain
mathematical optimization
Matrix Geometric Solution
Open Jackson Network
operations research methods
performance analysis
period
probability modeling
Queue Discipline
Queueing Network
Queueing Process
Queueing System
queues
service
Service Completion
Service Time Distribution
statistical simulation
stochastic processes
system
time
Transient Solution
Product details
- ISBN 9780367390556
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 05 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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The application of engineering principles in divergent fields such as management science and communications as well as the advancement of several approaches in theory and computation have led to growing interest in queueing models, creating the need for a comprehensive text. Emphasizing Markovian structures and the techniques that occur in different models, A Course on Queueing Models discusses recent developments in the field, different methodological tools - some of which are not available elsewhere - and computational techniques.
While most books essentially address the classical methods of queueing theory, this text covers a broad range of methods both in theory and in computation. The first part of the textbook exposes you to many fundamental concepts at an introductory level and provides tools for practitioners. It discusses the basics in queueing theory for Markovian and regenerative non-Markovian models, statistical inference, simulation and some computational procedures, network and discrete-time queues, algebraic and combinatorial methods, and optimization. The second part delves deeper into the topics examined in the first part by presenting more advanced methods. This part also includes general queues, duality in queues, and recent advancements on computational methods and discrete-time queues. Each chapter contains a discussion section that summarizes material and highlights special features.
Incorporating different queueing models, A Course on Queueing Models achieves an ideal balance between theory and practice, making it compatible for advanced undergraduate and graduate students, applied statisticians, and engineers.
Jain, Joti Lal; Mohanty, Sri Gopal; Böhm, Walter
