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A multidimensional model for data warehouses of simulation results

Abstract : This paper deals with the multidimensional modeling of a data warehouse for simulation results. It aims at answering new needs for data management which appear when exploring complex simulation models. Indeed, testing different parameter values and different versions of such models produces a huge volume of data, especially when simulations cover long time periods. These data must often be studied extensively at different levels of aggregation. We propose a generic multidimensional schema to analyze the results of a simulation model. This schema can guide modelers in designing specific data warehouses. We also propose an adaptation of an OLAP client tool in order to provide an adequate visualization of data. As an example, we implement a data warehouse for the analysis of results produced from a savanna simulation model, using a Relational OLAP architecture.
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https://hal.inrae.fr/hal-02593377
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Submitted on : Friday, May 15, 2020 - 5:13:45 PM
Last modification on : Wednesday, September 28, 2022 - 3:14:28 PM

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H. Mahboubi, Thierry Faure, S. Bimonte, Guillaume Deffuant, Jean-Pierre Chanet, et al.. A multidimensional model for data warehouses of simulation results. International Journal of Agricultural and Environmental Information Systems, IGI Global, 2010, 1 (2), pp.1-19. ⟨10.4018/jaeis.2010070101⟩. ⟨hal-02593377⟩

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