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
Multi-resource Load Optimization Strategy in Agent-Based Systems
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
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ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
Using the analytic hierarchy process for evaluating multi-agent system architecture candidates
AOSE'05 Proceedings of the 6th international conference on Agent-Oriented Software Engineering
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Four different multi-agent system architectures for a dynamic resource allocation problem are presented and evaluated. Although all the architectures use three types of agents, i.e., quantifiers that act on the behalf the providers, allocators that act on the behalf of the customers, and distributors that decide how the available resources should be divided between the customers, they differ with respect to the degree of distribution of control and the degree of synchronization. The architectures are evaluated through simulation experiments concerning load balancing and overload control of Intelligent Networks. A number of aspects are compared, e.g., how fast the system re-allocates the resources when there are sudden changes in demand, how well the load is balanced between the providers, how well the resources are utilized, how fast a customer gets response, how fairly the system treats the customers, how robust the system is, and the amount of communication overhead. Some of the conclusions are that the asynchronous architectures react faster and that the centralized architectures balance the load better. On the other hand, the centralized architectures have a single point of failure and the asynchronous architectures tend to use more communication overhead.