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Vaclav E. Benes - General Stochastic Processes in the Theory of Queues

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Vaclav E. Benes General Stochastic Processes in the Theory of Queues
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GENERAL
STOCHASTIC
PROCESSES
IN THE
THEORY
OF
QUEUES
Vclav E. Bene
DOVER PUBLICATIONS, INC.
Mineola, New York
To JanetBibliographical Note This Dover edition, first published in 2017, is an unabridged republication of the work originally published by Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, in 1963. Library of Congress Cataloging-in-Publication Data Names: Bene, V. E. (Vclav E.) Title: General stochastic processes in the theory of queues / Vclav E. | Mineola, New York : Dover Publications, Inc., 2017. | Originally published: Reading, Massachusetts : Addison-Wesley Publishing Company, Inc., 1963. | Includes bibliographical references. | Includes bibliographical references.

Identifiers: LCCN 2017013597| ISBN 9780486820309 | ISBN 0486820300 Subjects: LCSH: Queuing theory. | Stochastic processes. Classification: LCC QA273 .B45 2017 | DDC 519.8/2dc23 LC record available at https://lccn.loc.gov/2017013597 Manufactured in the United States by LSC Communications
82030001 2017
www.doverpublications.com

Authors Preface
One of the welcome features of applied mathematics is that it is in a position to appeal to at least two audiences, the mathematicians and the engineers. But when an author tries to present in one work simultaneously a general, rigorous mathematical theory for a given applied topic, and an account of it that will be understandable and useful to practical engineers, he must risk losing both his intended audiences. A mathematician may boggle at the physical and practical emphases, while an engineer may be left quite bewildered by the theoretical niceties. Nevertheless, if it is accomplished, a simultaneous presentation to both audiences is unquestionably a valuable and challenging task.

In this monograph I attempt such a task for the topic of delays in queueing systems with one server. Delays in queues with one server and order of arrival service are considered without any restrictions on the statistical character of the offered traffic. Elementary methods establish formulas and equations describing probabilities of delay. These methods de-emphasize special statistical models and yield a general theory. In spite of the generality of this approach, intuitive proofs and extensive explanations of the physical significance of formulas are given, as well as rigorous derivations. The theory is applied to specific models to obtain illustrative new results.

Under mild conditions of stationarity, the asymptotic behavior in time of the delay is studied and is shown to be governed by a functional equation closely analogous to the fundamental equation of branching processes, already used in special queueing models. A generalization of the Pollaczek-Khinchin formula is derived for the case in which delays do not build up. So many monographs, surveys, and books on the theory of queues are currently appearing that I have made no effort to canvass the vast extant literature of queueing. References to it have been included only insofar as they arose naturally in the text. For the benefit of the reader, therefore, I cite the following books: J. D. R. Cox and W. L. L.

Smith, Queues. New York: John Wiley and Sons, 1961. T. L. Saaty, Elements of Queueing Theory. New York: McGraw-Hill Book Co., 1961. L. Takcs, Introduction to the Theory of Queues. New York: Oxford University Press, 1962.

I would like to express my gratitude to Bell Telephone Laboratories for providing a milieu in which advanced theoretical work on practical topics can be pursued, and for supplying all the secretarial work involved in completion of the manuscript. Also, it is a pleasure to acknowledge that a careful reading of the manuscript by my colleague E. Wolman resulted in many corrections and improvements. Murray Hill, New Jersey V. E. November 5, 1962.

Contents
CHAPTER
VIRTUAL DELAY
1.
Contents
CHAPTER
VIRTUAL DELAY
1.

INTRODUCTION

Congestion theory is the study of mathematical models of service systems, such as telephone central offices, waiting lines, and trunk groups. It has two practical uses: first, to provide engineers with specific mathematical results, curves, and tables, on the basis of which they can design actual systems; and second, to establish a general framework of concepts into which new problems can be fitted, and in which current problems can be solved. Corresponding to these two uses, there are two kinds of results: specific results pertaining to special models, and general theorems, valid for many models. Most of the present literature of congestion theory consists of specific results resting on particular statistical assumptions about the traffic in the service system under study. Indeed, few results in congestion theory are known which do not depend on special statistical assumptions, such as negative exponential distributions, or independent random variables. In this monograph we describe some mathematical results which are free of such restrictions, and so constitute general theorems.

These results concern general stochastic processes in the theory of queues with one server and order-of-arrival service. In this work we have three aims: both new and known. What follows is written only partly as a contribution to the mathematical analysis of congestion. It is also, at least initially, a frankly tutorial account aimed at increasing the public understanding of congestion by first steering attention away from special statistical models, and obtaining a general theory. Such a point of view, it is hoped, will yield new methods in problems other than congestion. When a general theory can be given, it will be useful in several ways.

It will (i) increase our understanding of complex systems; (ii) yield new specific results, curves, tables, etc; and (iii) extend theory to cover interesting cases which are known to be inadequately described by existing results. At first acquaintance, the theorems of such a general theory may not resemble results at all; that is, they may not seem to be facts which one could obviously and easily use to solve a real problem. A general theory is really a tool or principle, expressing the essence or structure of a system; properly explained and used, this tool will yield formulas and other specifics with which problems can be treated.

2. THE SYSTEM TO BE STUDIED
There is a queue in front of a single server, and the waiting customers are served in order of arrival, with no defections from the queue. We are interested in the waiting-time of customers.

As a mathematical idealization of the delays to be suffered in the system, we use the virtual waiting-time W(t), which can be defined as the time a customer would have to wait for service if he arrived at time t. W() is continuous from the left; at epochs of arrival of customers, W() jumps upward discontinuously by an amount equal to the service-time of the arriving customer; otherwise W() has slope 1 while it is positive. If it reaches zero, it stays equal to zero until the next jump. It is usual to define the stochastic process W() in terms of the arrival epoch tk and the service-time. Sk of the kth arriving customer, for k = 1, 2, . However, the following procedure is a little more elegant; we describe the service-times and the arrival epochs simultaneously by a single function K(), which is defined for t 0, left-continuous, nondecreasing, and constant between successive jumps.

The locations of the jumps are the epochs of arrivals, and the magnitudes are the service-times. It is convenient . F IG 1 The load K and the virtual delay W At the epoch tk of arrival of - photo 1

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