Distributed Constrained Agents for Allocating Service Demands

The aim of this work is to deene a paradigm which supports the routing of demands across distinct network domains. The distributed nature of this problem (the network resources are spatially distributed and distinct domains can be heterogeneous environments) and the constraints imposed by the environment suggest the use of distributed problem solving methodologies and multi-agent technology. Intelligent agents enable a exible multi-domain routing since they allow routing algorithms and network management functions to be loaded in the infrastructure. Nevertheless, agent technology by itself does not improve the way diierent network interact, unless a good strategy is deened to allow them to coordinate their actions and solve possible connicts. This paper shortly describes how Artiicial Intelligence methods for distributed problem solving supply a compact way to formalise the qos-based multi-domain routing process and how this formalism enables a multi-agent system to dynamically route demands across several domains.