An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Design patterns from biology for distributed computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Generalised multisets for chemical programming
Mathematical Structures in Computer Science
A bio-inspired emergent system for intelligent Web service composition and management
Knowledge-Based Systems
A Scalable Method of E-Service Workflow Emergence Based on the Bio-Network
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 05
A biologically inspired framework for multimedia service management in a ubiquitous environment
Concurrency and Computation: Practice & Experience - Distributed Simulation, Virtual Environments and Real-time Applications
A biochemical approach to adaptive service ecosystems
Information Sciences: an International Journal
Using chemical reactions to model service composition
Proceedings of the second international workshop on Self-organizing architectures
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Service oriented technologies allow Service Based Applications (SBAs) to be easily built by composing independent services available in a network and provided by many actors under conditions that may change in time. Therefore services need to be dynamically selected and composed when an SBA is required along with parameters representing the service delivery conditions. In this paper we propose to use a chemical computational approach to model the process of selecting the required service functionalities with the required conditions as an evolving and always running middleware mechanism. The chemical evolving behaviour of the middleware allows to take into account environmental changes coming from both the providers and users side.