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Model-Based Method for Optimisation of an Adaptive System

Model-Based Method for Optimisation of an Adaptive System

Magagi Ali Bachir, Jelloulil Ismail, El Garouani Said, Amjad Souad
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 13
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781683181019|DOI: 10.4018/IJSSCI.301269
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MLA

Bachir, Magagi Ali, et al. "Model-Based Method for Optimisation of an Adaptive System." IJSSCI vol.14, no.1 2022: pp.1-13. http://doi.org/10.4018/IJSSCI.301269

APA

Bachir, M. A., Ismail, J., Said, E. G., & Souad, A. (2022). Model-Based Method for Optimisation of an Adaptive System. International Journal of Software Science and Computational Intelligence (IJSSCI), 14(1), 1-13. http://doi.org/10.4018/IJSSCI.301269

Chicago

Bachir, Magagi Ali, et al. "Model-Based Method for Optimisation of an Adaptive System," International Journal of Software Science and Computational Intelligence (IJSSCI) 14, no.1: 1-13. http://doi.org/10.4018/IJSSCI.301269

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Abstract

In a modern information system adaptation, optimization is a crucial aspect. Systems adaptation problematics have been explored in a large set of research, which have not been able to fix every single issue, leaving therefore so many challenges to be explored. It for this reason this paper presents a method, through a UML profile, to ensure the optimization of the performance of a production system. In the first place, a state of the art is presented to clarify the context of the study. This method consists in setting up a UML profile which will allow the real value of the production to be constantly assessed, the reaction take place when production is not satisfactory. The productivity assessment performs through the application of the simple algorithm, the simplex constraints are integrated through the OCL language. A code generator, based on acceleo, has been developed to propose code generation.

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