4CeeD: Real-Time Data Acquisition and Analysis Framework for Material-related Cyber-Physical Environments
Author(s)
Nguyen, Phuong
Konstanty, Steven
Nicholson, Todd
O'brien, Thomas
Schwartz-Duval, Aaron Star
Spila, Timothy
Nahrstedt, Klara
Campbell, Roy H.
Gupta, Indranil
Chan, Michael
McHenry, Kenton
Paquin, Normand
Issue Date
2016-06
Keyword(s)
cyber-physical system, data infrastructure, big data
Abstract
In this paper, we propose 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: (i) a curation service for collecting data from experimental instruments, curating, and wrapping of data with extensive metadata in real-time and in a trusted manner, (ii) a cloudlet for caching collected data from curation service and coordinating data transfer with the back-end, and (iii) a cloud-based coordination service for storing data, extracting meta-data, analyzing and finding correlations among the data. Our evaluation results show that our proposed approach is able to 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.
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