New Approach for Optimal Semantic-Based Context-Aware Cloud Service Composition for ERP View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-10

AUTHORS

Hamza Reffad, Adel Alti

ABSTRACT

Nowadays, the cloud technology has been widely accepted by enterprises. It leverages provides high-level management of expensive IT resources and several advanced techniques for developing quality IT solutions. Small and medium enterprises (SMEs) are looking for best the 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 which carried out on cost and time benefits becomes a major concern. This is very helpful to answer the required evolutions of different functional and non-functional SMEs needs (i.e., quality context-aware constraints and preferences). The existing cloud ERP systems (SAP, Oracle, etc.) as SaaS models are not flexible enough to support the ERP business process auto-adaptation. This paper aims to provide a relevant ERP business process as a composite service-targeted customer needs and context changes using semantic-based context-aware selection and optimal cloud service composition. To this end, we have proposed CxQSCloudSERP-based system ontology. It is a novel ontology for semantic describing and driving the end-to-end ERP building process. By providing the functional needs, the system generates automatically an optimal virtual ERP business process. A two-stage algorithm for context-aware services composition is proposed to obtain optimal-customized concrete ERP business process. The first stage is used to select relevant composite services that respect customer’s constraints. The second one is used to select a single optimal solution from the outcome of the first stage according to the customer’s preferences. To illustrate our approach, we have presented a prototype which gives a great flexibility to respect the enterprise’s global quality priorities. The experimental results show the efficiency and the enhanced accuracy of the proposed approach. More... »

PAGES

307-347

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00354-018-0036-4

DOI

http://dx.doi.org/10.1007/s00354-018-0036-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105805292


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