Abstract
With the explosion of data volume, and technological evolution of Big Data in data management, several data storage platforms are currently available to meet this need, the question often arises is what are the most appropriate storage concepts to support large-scale analytical process. In fact, several competing technologies in this field today, sometimes some better suited to certain types of treatment than others. Each approach has its own strengths and weaknesses. And in general, the use of one does not exclude the other. To effectively deal with this issue, this study presents an approach for ranking the alternative solutions based on ideal values of criteria. For this purpose, a multi criteria decision making (MCDM) model is presented with combination of Analytical Hierarchy Process (AHP) to solve multiple criteria decision-making problems. The proposed model is capable of finding optimal solution for high-dimensional problems with simple and manual calculations.
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Kachaoui, J., Belangour, A. (2020). An Adaptive Control Approach for Performance of Big Data Storage Systems. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1105. Springer, Cham. https://doi.org/10.1007/978-3-030-36674-2_9
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