Keywords
bandwidth, traffic, routers
Abstract
In today’s Internet, demand is increasing for guarantees of speed and efficiency. Current routers are very limited in the type and quantity of observed data they can provide, making it difficult for providers to maximize utilization without the risk of degraded throughput. This research uses statistical data currents provided by router vendors to estimate the impact of changes in network configuration on the probability of link overflow. This allows service providers to calculate in advance, the effect of grooming on a network, eliminating the conservative trial-and-error approach normally used. These predictions are made using Large Deviation Theory, which focuses on the tails of the distribution, giving a better estimate than average and peak values.
Original Publication Citation
Effective Bandwidth for Traffic Engineering, Rob Kunz, Seth Nielson, Mark Clement, Quinn Snell, Proceedings of the IEEE Workshop on High Performance Switching and Routing (HPSR 21), Dallas, TX, May 21.
BYU ScholarsArchive Citation
Clement, Mark J.; Kunz, Rob; Nielson, Seth; and Snell, Quinn O., "Effective Bandwidth for Traffic Engineering" (2001). Faculty Publications. 573.
https://scholarsarchive.byu.edu/facpub/573
Document Type
Peer-Reviewed Article
Publication Date
2001-05-01
Permanent URL
http://hdl.lib.byu.edu/1877/2574
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/