User-oriented and entropy based adaptable web service selection in AmI

Abstract

Service selection is the key technology during the fusion of AmI and Service Computing, the selection procedure is influenced by service's QoS, user preference, Context and other factors in AmI system. According the features of AmI, the paper proposes a two phase interaction decision making model which combines the service's objective attributes with user's subjective preference. It computes objective weight of the candidate services' QoS attribute values by using their information entropy, then the user can reference for the objective decision information and give his subjective selection information which includes preference and Context-aware constraints. At last, the optimized selection rule is computed by using the objective and subjective information. The test results show that the solution has fine adaptability and usability, and it achieves the unity of generality and personalized. © 2011 Springer-Verlag.