Abstract
The speed and quality of data preparation become one of the bottlenecks of the execution of large-scale simulation systems, which has not gained enough attention so far. The paper discusses the intrinsic characteristics of three types of simulation data, that is, relational data, hierarchical data and spatial data. It expounds the following three key technologies of data preparation for simulation systems. For efficient management of hierarchical data, XML is proposed and the XML-based component is developed for reuse. For seamless management of heterogeneous data, the three-tied architecture is put forward. To improve data quality, quality of simulation data is divided into applicability, effectiveness and validity, and the theoretical framework for quality assurance of data preparation for simulation systems is given. Research results are of great significance to improve the efficiency of data preparation for simulation systems.
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Xu, X., Yang, J. (2013). Key Technologies of Data Preparation for Simulation Systems. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_74
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DOI: https://doi.org/10.1007/978-1-4614-7010-6_74
Publisher Name: Springer, New York, NY
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