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Type of Document	Dissertation
Author	Ambrose, Barry E.
URN	etd-09192006-170430
Persistent URL	http://resolver.caltech.edu/CaltechETD:etd-09192006-170430
Title	Dynamic routing of telephone traffic using network management tools
Degree	PhD
Option	Electrical Engineering
Advisory Committee	Advisor Name Title Rodney Goodman Committee Chair Andrea Jo Goldsmith Committee Member Michelle Effros Committee Member Padhraic Smyth Committee Member Robert J. McEliece Committee Member
Keywords	None
Date of Defense	1995-05-31
Availability	restricted
Abstract In this thesis, the consequences of automating network management of telephone networks are examined. The role of network managers is to monitor the network for exceptional conditions and place controls into the network if necessary to deal with these network exceptions. One potential consequence of automating network management is a network which is capable of adjusting itself quickly to changing traffic conditions, also known as a network with dynamic routing. Simulations are used to show that there are benefits to be gained from implementing dynamic routing by automating the actions of the network managers. In this thesis, the application of learning techniques such as neural networks and linear predictors to the tasks of network traffic management is also examined. Three network management tasks considered are: (i) recognition of traffic patterns in the network (ii) learning suitable thresholds for network congestion control and (iii) time series prediction of trunk group occupancy. It is found that non-linear learning techniques such as neural networks can give small gains over the more standard technique of linear predictors.
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