Authors: Luis Nogueira, Eugenio Oliveira
Addresses: Instituto Superior de Engenharia do Porto, IPP, 4200-072 Porto, Portugal. ' Faculdade de Engenharia do Porto, LIACC, 4200-465 Porto, Portugal
Abstract: We here present an agent-based Quality of Service (QoS) negotiation framework that enables service providers to negotiate the level of QoS provided to end-users according to its own current state. In our model, end-users| QoS preferences are expressed in service requests along several dimensions. From this set of QoS constraints and information about end-users| devices our service configuration brokering facility is able to create and exploit different users| communities associated with their specific inferred stereotypes, in order to be helpful, in an adaptive way, in a dynamically changing environment populated with previously unknown entities (clients, users, machines, etc.).
Keywords: clustering; dynamic heterogeneous environments; multi-agent systems; quality of service; QoS negotiation; reinforcement learning; user modelling; brokering adaptation; agent-based systems; intelligent agents; embedded systems.
International Journal of Product Lifecycle Management, 2007 Vol.2 No.2, pp.113 - 134
Published online: 28 Jun 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article