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Autonomous Smart Routing for Network QoS

Tags:
switching

Overview This paper presents an autonomous adaptive Quality of Service (QoS) driven network system called a "Cognitive Packet Network" (CPN), which adaptively selects paths so as to offer best effort QoS to the end users based on user defined QoS. CPN uses neural network based reinforcement learning to make routing decisions separately at each node. Measurements on an experimental test-bed are provided to show how the system responds to the choice of QoS goals. The paper also discusses and evaluates an extension of CPN that uses a genetic algorithm to generate and maintain paths from previously discovered information by matching their "Fitness" with respect to the desired QoS.

Further White Paper Details
Publisher	University of Central Florida	File Format	PDF
Date Published	June 2004
Format	White Papers
Topics	Switching, Quality of Service

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