an affinity-driven clustering approach for service discovery and composition for pervasive computing

Abstract

Pervasive computing is a new paradigm with a goal to provide computing and communication services all the time and everywhere. In this paper, a service emergence model for the implementation of pervasive computing applications is presented. In this model, ad hoc or composite services are represented by an organization or group of autonomous agents. Agents establish relationships based on affinities. Affinity corresponds to the adequacy with which two services could bind to create a composed service or to point out a similar service. These affinities are adjusted or reinforced by user satisfaction regarding the provided service and dynamic network condition changes. Simulations of this proposed service emergence model with NS2 are also presented