Scholars' Mine Doctoral Dissertations Student Theses and Dissertations Fall 2007 Modeling network traffic on a global network-centric system with artificial neural networks Douglas K. Swift Follow this and additional works at: https://scholarsmine.mst.edu/doctoral_dissertations Part of the Systems Engineering Commons Department: Engineering Management and Systems Engineering Recommended Citation Swift, Douglas K., "Modeling network traffic on a global network-centric system with artificial neural networks" (2007). Doctoral Dissertations. 2006. https://scholarsmine.mst.edu/doctoral_dissertations/2006 This thesis is brought to you by Scholars' Mine, a service of the Missouri S&T Library and Learning Resources. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact
[email protected]. MODELING NETWORK TRAFFIC ON A GLOBAL NETWORK-CENTRIC SYSTEM WITH ARTIFICIAL NEURAL NETWORKS by DOUGLAS KEITH SWIFT A DISSERTATION Presented to the Faculty of the Graduate School of the UNIVERSITY OF MISSOURI - ROLLA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY in SYSTEMS ENGINEERING 2007 _______________________________ _______________________________ Cihan H. Dagli, Advisor David L. Enke _______________________________ _______________________________ Scott E. Grasman Ann K. Miller _______________________________ _______________________________ Sreeram Ramakrishnan Paul J. Schachter © 2007 Douglas Keith Swift All Rights Reserved iii ABSTRACT This dissertation proposes a new methodology for modeling and predicting network traffic. It features an adaptive architecture based on artificial neural networks and is especially suited for large-scale, global, network-centric systems. Accurate characterization and prediction of network traffic is essential for network resource sizing and real-time network traffic management.