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juillet 2020 | septembre 2020

Performance oriented decision making to guide service oriented architecture layers

Accueil > Communauté GOSPI > Thèses

  • Directeur : MOALLA Nedjab

The alignment of enterprise business processes and information technologies for reengineering decision making is highly challenging. Often technical models are technically suitable, while they are not for decision making. The sustainability of systems is driven with the support of performance metrics analysis at the decision making process. In this paper we propose a service recommendation framework based on Service Networks Monitoring concepts. This framework includes creation of Service Domain Monitoring Ontology (SDMOnt), extracting traces of technical indicators for services and storing decision data in the existing database. The decision support covers the unavailability of services, recommendation of services based on technical indicators and the composition of existing ones. Our framework is meant to support the creation of shared domain knowledge ensuring an optimal decision making system for service lifecycle.