Using chemical reactions to model service composition
Proceedings of the second international workshop on Self-organizing architectures
Architectures & infrastructure
Service research challenges and solutions for the future internet
Adaptive instantiation of service workflows using a chemical approach
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
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An emergent modeling approach is proposed to the study of E-service workflow, which is inspired by the characteristics of emergence and self-evolution in biological neuroendocrine-immune network. E-services are represented by autonomous bio-entities (mobile agents with biological operation), The E-service workflow composition is achieved by the evolutionary community of the bio-entities. By understanding properties of messages, the bio-entities use projection-join closure to capture such message situations. Based on the negotiation of the bio-entities, the optimization of the E-service workflow composition is translated into dynamic services selection with QoS global optimization. We propose an improved algorithm based on quick sort and NSGA-II to resolve it. The simulation results show that the approach can significantly improve the E-service workflow performance. It adapts well to the changes of dynamic environments.