Résumé
Software systems accessible via the web are built using existing and distributed web services that interact by sending messages. The web service exposes its functionalities through an interface described in a computer-readable format. Other systems interact, without human intervention, with the web service according to a prescribed procedure using the messages of a protocol. Web services can be deployed on cloud platforms. This type of deployment causes a large number of services to be managed at the level of the same directories raising different problems: How to manage these services effectively to facilitate their discovery for a possible composition. Indeed, given a directory, how to define an architecture or even a data structure to optimize the discovery of services, their composition, and their management. Service discovery involves finding one or more services that meet the client’s criteria. The service composition consists of finding many services that can be executed according to a scheme and that satisfy the client’s constraints. As the number of services is constantly increasing, the demand for the design of architectures to provide not only quality service but also rapid responsetime for discovery, selection, and composition, is getting more intense. These architectures must also be easily manageable and maintainable over time. The exploration of communities and index structures correlated with the use of multi-criteria measures could offer an effective solution provided that the data structures, the types of measures, are chosen correctly, and the appropriate techniques. In this thesis, solutions are proposed for the discovery, the selection of services and their composition in such a way as to optimizethe search in terms of response time and the relevance of the results. The performance evaluation of the proposed solutions is carried out using simulation platforms.
Source: http://www.theses.fr/2020PESC0032
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