4CeeD: Real-Time Data Acquisition and Analysis Framework for Material-Related Cyber-Physical Environments
4CeeD: Real-Time Data Acquisition and Analysis Framework for Material-Related Cyber-Physical Environments
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4CeeD：材料相关网络物理环境的实时数据采集和分析框架
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Normand Paquin
中科院分区：
文献类型：
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作者：
Phuong Nguyen;Steven Konstanty;Todd Nicholson;T. O’Brien;A. Schwartz;T. Spila;K. Nahrstedt;R. Campbell;Indranil Gupta;Michael Chan;Kenton McHenry;Normand Paquin
在本文中，我们提出了一个用于材料到设备过程的数据采集和分析框架，名为4CeeD，该框架侧重于在完全存档和发布材料到设备数字数据以供广泛访问和共享之前，以实时和可信的方式捕获、准确管理、关联和协调材料到设备数字数据的巨大潜力。特别是，4CeeD包括新的服务：一个策展服务，用于从显微镜和制造仪器收集数据，以实时和可信的方式策展和包装数据，以及一个基于云的协调服务，用于存储数据，提取元数据，分析和查找数据之间的相关性。我们的评估结果表明，我们的新的云框架可以帮助研究人员显着节省时间和成本花费在实验上，并有效地处理大容量和快速变化的工作量的异构类型的实验数据。
In this paper, we present a data acquisition and analysis framework for materials-to-devices processes, named 4CeeD, that focuses on the immense potential of capturing, accurately curating, correlating, and coordinating materials-to-devices digital data in a real-time and trusted manner before fully archiving and publishing them for wide access and sharing. In particular, 4CeeD consists of novel services: a curation service for collecting data from microscopes and fabrication instruments, curating, and wrapping of data with extensive metadata in real-time and in a trusted manner, and a cloud-based coordination service for storing data, extracting meta-data, analyzing and finding correlations among the data. Our evaluation results show that our novel cloud framework can help researchers significantly save time and cost spent on experiments, and is efficient in dealing with high-volume and fast-changing workload of heterogeneous types of experimental data.