Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Economic models for allocating resources in computer systems
Market-based control
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
A game-theoretic formulation of multi-agent resource allocation
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
A survey of programmable networks
ACM SIGCOMM Computer Communication Review
Market-Based Call Routing in Telecommunications Networks Using Adaptive Pricing and Real Bidding
IATA '99 Proceedings of the Third International Workshop on Intelligent Agents for Telecommunication Applications
Open Resource Allocation for Mobile Code
MA '97 Proceedings of the First International Workshop on Mobile Agents
A survey of active network research
IEEE Communications Magazine
Active And Programmable Networks [Guest Editorial]
IEEE Network: The Magazine of Global Internetworking
An Active Layered Multicast Adaptation Protocol
IWAN '00 Proceedings of the Second International Working Conference on Active Networks
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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 reources, and it also allows resources to bc shared according to uscr preferences.