A Graph-Theoretic Approach to Enterprise Network Dynamics
Networks have become nearly ubiquitous and increasingly complex, and their support of modern enterprise environments has become fundamental. Accordingly, robust network management techniques are essential to ensure optimal performance of these networks. T
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Progress in Computer Science and Applied Logic Volume 24 Editor John C. Cherniavsky, National Science Foundation Associate Editors Robert Constable, Cornell University Jean Gallier, University of Pennsylvania Richard Platek, Cornell University Richard Statman, Carnegie-Mellon University
Horst Bunke Peter J. Dickinson Miro Kraetzl Walter D. Wallis
A Graph-Theoretic Approach to Enterprise Network Dynamics
Birkh¨auser Boston • Basel • Berlin
Horst Bunke Universit¨at Bern Institute of Computer Science and Applied Mathematics (IAM/FKI) CH-3012 Bern Switzerland [email protected]
Peter J. Dickinson and Miro Kraetzl Australian Department of Defence Defence Science and Technology Organisation (DSTO) ISR Division–CA Group Edinburgh SA 5111 Australia [email protected] [email protected]
Walter D. Wallis Southern Illinois University Department of Mathematics Carbondale, IL 62901 USA [email protected]
Mathematics Subject Classification (2000): 68R19, 94C15, 05C90, 68T10 Library of Congress Control Number: 2006928981 ISBN-10: 0-8176-4485-7 ISBN-13: 978-0-8176-4485-7
e-ISBN-10: 0-8176-4519-5 e-ISBN-13: 978-0-8176-4519-9
Printed on acid-free paper. c 2007 Birkh¨auser Boston
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Preface
In this monograph, we describe the application of many graph-theoretic algorithms to a comprehensive environment of analysis of dynamic enterprise networks. Networks are ubiquitous, increasingly complex, and dynamic. Since they are part of all aspects of human life, their support of modern enterprise environments is paramount. Enterprises in general are becoming more information-based, and proper networking support depends on optimal performance management of all intranets involved in populating information and knowledge databases. Among other parameters, network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators, and warnings. After many years of applied research of generic network dynamics, we have decided to write a chronicle of our investigations to date with emphasis on enterprise networks. The motivation was two-fold: first, we wanted to convey to practitioners involved in network analysis a number of elegant applications of tradition
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