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首页> 外文期刊>Procedia Computer Science >An Intelligent ETL Grid-Based Solution to Enable Spatial Data Warehouse Deployment in Cyber Physical System Context
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An Intelligent ETL Grid-Based Solution to Enable Spatial Data Warehouse Deployment in Cyber Physical System Context

机译：基于智能ETL网格的解决方案，可在网络物理系统环境中实现空间数据仓库部署

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Thanks to their spatially distributed sensors, Cyber-Physical System (CPS) applications are currently accumulating large amounts of heterogeneous data. When it comes to allowing several decision-makers to collaboratively plan their actions, these applications need appropriate tools for an efficient storage, analysis, and visualization of the available data. Spatial Data Warehouses (SDWs) have proven their efficiency in carrying out these operations. However, because of the increasing quantity of data, the Extract-Transform-Load (ETL) process (which is in charge of aggregating several data sources within a unified data storage repository) generally fails to update the SDW within predefined window times. In order to solve this problem, we propose in this paper to distribute the ETL tasks over a grid of computing resources. We also propose a multiagent-based approach that controls the ETL grid while allowing a convenient use of the shared resources. In addition to being the unique solution that uses grid computing for the ETL process of SDWs, our approach allows a joint use of archive and real-time data for personalized reporting and visualization of services envisioned to the decision-makers who are using the CPS application.
机译：由于其空间分布的传感器，网络物理系统（CPS）应用程序当前正在积累大量的异构数据。在允许多个决策者共同计划其行动时，这些应用程序需要适当的工具来有效存储，分析和可视化可用数据。空间数据仓库（SDW）已证明其执行这些操作的效率。但是，由于数据量的增加，提取-转换-加载（ETL）过程（负责在统一数据存储库中聚合多个数据源）通常无法在预定义的窗口时间内更新SDW。为了解决这个问题，我们建议在本文中将ETL任务分布在计算资源的网格上。我们还提出了一种基于多代理的方法，该方法可以控制ETL网格，同时允许方便地使用共享资源。除了是将网格计算用于SDW的ETL流程的独特解决方案之外，我们的方法还允许将存档和实时数据联合使用，以个性化地报告和可视化使用CPS应用程序的决策者的服务。

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