Abstract
Web service Compositions are rapidly gaining acceptance as a fundamental technology in the web field. They are becoming the cutting edge of communication between different applications all over the web. With the need for the ubiquitous computing and the pervasive use of mobile devices, the context aware web service composition becomes a hot topic. The latter aims at adapting the web service composition behavior according to the user’s context, such as his specific working environment, language, type of Internet connection, devices and preferences. Many solutions have been proposed in this area. Nevertheless, the adaptation was carried out only at the run-time and it partially covered the user’s general context. In this paper, we proposed a self-adaptive approach to the context-aware web service composition named SADICO for Self ADaptIve to the web service COmposition. Our approach studied a generic context, based on MAPE model (Monitoring, Analysis, Planning, and Execution) to ensure self-adaptation.
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Nabli, H., Cherif, S., Ben Djmeaa, R., Ben Amor, I.A. (2018). SADICO: Self-ADaptIve Approach to the Web Service COmposition. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_26
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DOI: https://doi.org/10.1007/978-3-319-59480-4_26
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