Abstract
Service-oriented programming has dramatically changed the way software applications are developped, promoting reusability of code and easing the design of complex applications. Actual techniques for automatic composition of services present several limitations to be used in the context of future pervasive scenarios: (1) limited scalability due to centralised computations, (2) slow reactivity with respect to appearance and removal of services, and (3) no support for context-aware applications. In this paper we define a chemical-model and two chemically inspired approaches for self-composition of services operating in a pervasive system. We show how distributed shared data spaces can be exploited to design spontaneous and emergent compositions that deal with context information and a dynamic set of available services. This new approach, taking inspiration from chemical reactions, turns to be completely decentralised and self-adaptive to service appearance and disappearance.
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© 2014 Springer International Publishing Switzerland
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De Angelis, F.L., Fernandez-Marquez, J.L., Di Marzo Serugendo, G. (2014). Self-composition of Services in Pervasive Systems: A Chemical-Inspired Approach. In: Jezic, G., Kusek, M., Lovrek, I., J. Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technologies and Applications. Advances in Intelligent Systems and Computing, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-319-07650-8_5
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DOI: https://doi.org/10.1007/978-3-319-07650-8_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07649-2
Online ISBN: 978-3-319-07650-8
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