
This volume contains a systematic presentation of exact and approximate results for open and closed queueing networks with blocking. Topics include: exact analysis of two-node open queueing networks with blocking, approximate decomposition algorithms for tandem and arbitrary configurations of open queueing networks with blocking, exact product-form solutions for closed queueing networks with blocking, and approximate solutions for non-product form closed queueing networks with blocking. Related topics are discussed as well, including equivalencies of blocking mechanisms, numerical solutions for Markov chains, and real-life applications of queueing networks with blocking. Each chapter is augmented with an extensive literature and references. Ideal for researchers, students, and professionals involved with the performance evaluation of computers, communication networks, and production systems, the book is a must for those who would like to learn how to analyze queueing networks with blocking.
This volume investigates the mathematical modeling and performance evaluation of queueing networks where blocking mechanisms constrain the flow of entities. Harry G. Perros, a recognized authority in performance modeling, synthesizes existing research and original methodologies to address the complexities of both open and closed network configurations. The text provides a rigorous framework for analyzing systems where finite buffer capacities lead to dependencies between nodes, utilizing both exact analytical methods and heuristic decomposition algorithms.
What You Will Find
Experts in operations research and systems engineering identify this text as a foundational reference for understanding blocking phenomena in stochastic networks. Readers frequently note the technical density of the prose, which requires a strong background in probability theory and Markov processes to fully utilize the provided algorithms.
Page Count:
304
Publication Date:
1994-06-30
Publisher:
Oxford University Press
ISBN-10:
0195085809
ISBN-13:
9780195085808
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