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An Agent-Inspired Active Network Resource Trading Model Applied to Congestion Control
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An Agent-Inspired Active Network Resource Trading Model Applied to Congestion Control
Lidia Yamamoto5 and Guy Leduc5 
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Research Unit in Networking, Institut Montefiore, B28, B-4000 Liege, Belgium |
Abstract
In order to accommodate fluctuations in network conditions, adaptive applications need to obtain information about resource
availability. Using active networks, new models for adaptive applications can be envisaged, which can benefit from the possibility
to send mobile code to the network nodes. We describe a model for trading resources inside an active network node, based on
the interaction between capsules as reactive user agents, and resource manager agents which reside in the network nodes. We
apply the model to the case of a many-to-one audio application with congestion control, which trades off link resources against
memory when there is congestion at the outgoing interface towards the destination. Our simulation results indicate that the
application makes effective use of the available resources, and it also allows resources to be shared according to user preferences.
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