Plateforme sémantique Cloud Computing pour la gestion des applications ERP sensibles au contexte

Abstract

Nowadays, Cloud technology is widely adopted by companies to develop quality IT solutions. Small and medium enterprises (SMEs) are looking for the best preeminent customized Cloud Enterprise Resource Planning (ERP) to automate wisely their business activities. Therefore, the increasing need of flexible ERP business process from heterogeneous Cloud services of different service providers which carried out on cost and time benefits becomes a major concern. This is very useful for meeting the required evolutions of different functional and non-functional business needs. Most existing ERP Cloud systems (SAP, Oracle ERP Cloud, etc.) are exposed in Software as a Service (SaaS) mode and they are not flexible enough to support the automatic adaptation of ERP business processes. The goal of our work is to build a system that can generate a relevant ERP business process as a composite service according to customer needs and contextual changes via the optimal semantic Cloud services composition. Therefore, we have proposed a system with a new ontology for the semantic description and efficient management of the end-to-end ERP building process as well as a Cloud services composition approach dedicated to context-aware ERPs. By specifying the functional requirements, the system automatically generates a virtual business process ERP. Moreover, a two-stage algorithm for the Cloud services composition is proposed to obtain an optimal, concrete and personalized ERP business process. The first stage is used to select the relevant composite services that meet the enterprise’s constraints. The second is used to select a single optimal solution from the outcome of the first phase according to the enterprise’s preferences.We have also proposed an extension of our approach using the multi-agent aspect to improve the system performance in terms of execution time. To illustrate our approach, we presented a prototype that offers great flexibility to respect enterprise’s global quality priorities. The experimental results show the relevance and effectiveness of the proposed approach.