Adaptive routing and flow control methods are necessary in computer networks due to the nonstationary conditions that exist in such networks. In this dissertation three distinct yet complementary approaches to modeling computer networks for performance evaluation and control under nonstationary conditions are presented namely: queueing theory, discrete event simulation, and state variable modeling. The application of these techniques to the design and performance evaluation of adaptive routing and flow control methods is demonstrated with the development of a new two-level hierarchical adaptive buffer management scheme and a dynamic virtual circuit routing policy.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/184526 |
| Date | January 1988 |
| Creators | Tipper, David Warren. |
| Contributors | Sundareshan, M. K., Cellien, F. E., Strickland, R. N., Li, Shu, Schultz, D. G. |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | text, Dissertation-Reproduction (electronic) |
| Rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
Page generated in 0.0018 seconds