Data networks
Telecommunications network design algorithms
Telecommunications network design algorithms
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Market-oriented programming: some early lessons
Market-based control
Data and computer communications (5th ed.)
Data and computer communications (5th ed.)
Ant-like agents for load balancing in telecommunications networks
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Heterogeneous multi-agent architecture for ATM virtual path network resource configuration
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Dynamic resource allocation by market-based routing in telecommunications networks
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Economic mechanism design for computerized agents
WOEC'95 Proceedings of the 1st conference on USENIX Workshop on Electronic Commerce - Volume 1
Delegated agents for network management
IEEE Communications Magazine
An Agent-Inspired Active Network Resource Trading Model Applied to Congestion Control
MATA '00 Proceedings of the Second International Workshop on Mobile Agents for Telecommunication Applications
Agent-Enhanced Dynamic Service Level Agreement in Future Network Environments
MMNS '01 Proceedings of the 4th IFIP/IEEE International Conference on Management of Multimedia Networks and Services: Management of Multimedia on the Internet
Using Market Mechanisms to Control Agent Allocation in Global Information Systems
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Model checking agent programming languages
Automated Software Engineering
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We present a market-based approach to call routing in telecommunications networks. A system architecture is described that allows self-interested agents, representing various network resources, potentially owned by different real world enterprises, to co-ordinate their resource allocation decisions without assuming a priori co-operation. It is argued that such an architecture has the potential to provide a distributed, robust and efficient means of traffic management. In particular, our architecture uses an adaptive pricing and inventory setting strategy, based on real bidding, to reduce call blocking in a simulated telecommunications network.