Optimization method on component composition for domain feature clustering

TL;DR: An optimization method on component composition is proposed for domain feature clustering and a clustering algorithm based on partition is designed which can achieve accurate component clustering on the basis of domain feature.

Abstract: The component composition of Internetware became difficult in the open,dynamic and uncertain platforms such as the Internet.An optimization method on component composition is proposed for domain feature clustering.In it,Ontology classification and similarity measure are introduced,and a clustering algorithm based on partition is designed which can achieve accurate component clustering on the basis of domain feature.Attribute values of QoS about component and link are normalized,and the algorithm based on dynamic programming is proposed to solve global optimization problem of component composition.The algorithmic analysis and experiment prove that this method is effective and feasible.