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Supporting smart system applications in scientific gateway environment

机译:在科学网关环境中支持智能系统应用

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Smart system application are gaining significant attention especially concerning health monitoring researches. Data captured from sensors are arriving continuously and for an efficient handling of this large volume of data stream processing would give the ideal solution [6]. Stream processing means that without intermediate storage the data should be processed as they are coming from the sensors. Storing and downloading data is a time-consuming mechanism, and during our investigation we have proved that data downloading time has significant impact on the overall execution of our health monitoring smart application. We have investigated the most common science gateway solution to examine the path that data takes from the outer storage to the executor node or the infrastructure and we have defined an execution model for smart system applications where the data movement is minimal.
机译:智能系统的应用受到了广泛的关注,特别是在健康监测方面。从传感器捕获的数据不断到达,对于有效处理大量数据流的处理将提供理想的解决方案[6]。流处理意味着无需中间存储,就应该处理数据,因为它们来自传感器。存储和下载数据是一种耗时的机制,在我们的调查中,我们证明了数据下载时间对健康监控智能应用程序的整体执行具有重大影响。我们研究了最常见的科学网关解决方案,以检查数据从外部存储到执行器节点或基础架构的路径,并为数据量最少的智能系统应用程序定义了执行模型。

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