E-service emergence: A bio-inspired method of composition

In this paper, we introduce an emergence modeling approach to the study of e-service composition, which is inspired by the characteristics of emergence and self-evolution in biological neuroendocrine and immune system. E-services are represented by autonomous bio-entities (mobile agents with biological operation), each bio-entity is described by a Mealy stale machine. The request of integrating complex processes is translated to an automata analysis problem. Bio-entities establish emergent network based on the matching message to provide e-service composition. Affinity is a parameter which can measure the message matching ability of the bio-entity integrally, it depends on three factors, namely, the matching strength of message, the e-service quality score, and the trust. In this way, the method completes a series of work from composition to management autonomously. The simulation results show that the approach can significantly improve the e-service composition performance. It adapts well to the changes of dynamic environments.