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System dynamics simulations for data-intensive applications

机译:数据密集型应用程序的系统动力学仿真

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Simulation modeling is increasingly perceived as a methodological asset to the field of data science. Nonetheless, adequate graphical database interfaces are missing especially for most System Dynamics (SD) simulation tools. SimSyn is freely available middleware used to link together models developed in VENSIM with a PostgreSQL database for spanning SD models over geographic or multi-dimensional parameter space. The capabilities of SimSyn are demonstrated by simulating terrestrial carbon storage for 10,000 years on a 5 arc-min raster mesh with 278,115 grid cells. Results indicated the reasonable performance of data-linked simulations (7, 500 to 10,000 runs per 15 min) and a considerable increase of computational overheads associated with additional time series inputs. Apart from increasing performance, the incorporation of SD interoperability standards is a key objective for the further development of SimSyn. (C) 2017 Elsevier Ltd. All rights reserved.
机译:仿真建模越来越被视为数据科学领域的一种方法学资产。但是,缺少足够的图形数据库界面,尤其是对于大多数系统动力学(SD)仿真工具而言。 SimSyn是可免费使用的中间件,用于将VENSIM中开发的模型与PostgreSQL数据库链接在一起,从而跨地理或多维参数空间跨越SD模型。 SimSyn的功能通过在具有278,115个网格单元的5 arc-min栅格网格上模拟10,000年的陆地碳存储来证明。结果表明,数据链接模拟的合理性能(每15分钟运行7、500至10,000次运行)以及与其他时间序列输入相关的计算开销显着增加。除了提高性能外,纳入SD互操作性标准也是SimSyn进一步发展的关键目标。 (C)2017 Elsevier Ltd.保留所有权利。

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