Market-oriented programming: some early lessons
Market-based control
Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Process Control
Quantitative evaluation of scalability in broadband intelligent networks
PICS '98 Proceedings of the IFIP TC6/WG6.3 Seventh International Conference on Performance of Information and Communication Systems
Local agent-based self-stabilisation in global resource utilisation
International Journal of Autonomic Computing
The future of energy markets and the challenge of decentralized self-management
AP2PC'08 Proceedings of the 7th international conference on Agents and Peer-to-Peer Computing
| Hi-index | 0.00 |
A number of different coordination models for dynamic resource allocation are proposed. The models are based on an asynchronous and distributed approach which makes use of mobile agents to distribute the resources of the providers between the consumers. Each provider has a broker, i.e., the mobile agent, that continually visits all or a subset of the consumers, offering the resources currently available at the corresponding provider. The models are increasingly complex, starting with a rather simple static mechanism, and ending with a sophisticated solution that balance the allocations both from the consumer and the provider perspective. Finally, an evaluation of the models in a realistic Intelligent Network domain is presented.