The term quality as it is commonly understood in the context of Quality of Service (QoS) is something' by which a user of the service (in a very large meaning) will judge how good the service is. In this research project we mainly focus our attention to three areas related with QoS: i) Networks, ii) Web Services and iii) Trust Management (TM). The aim of my PhD thesis is to provide expressive means (e.g. languages) in order to model and solve these frameworks with the help of Soft Constraints, benefiting from Artificial Intelligence background to tackle this kind of optimization problems. Soft constraints will represent the needs of the parties on the traded resources and the consistency value of the store represents a feedback on the current agreement. Using soft constraints gives to the service provider and the clients more flexibility in expressing their requests w.r.t. crisp constraints, and therefore there are more chances to reach a shared agreement. Moreover, the cost model is very adaptable to the specific problem, since it is parametric with the chosen semiring.
Subjects: 15.2 Constraint Satisfaction; 3.5 Qualitative Reasoning
Submitted: Apr 6, 2008