NDLI: Accelerating Data Acquisition, Reduction, and Analysis at the Spallation Neutron Source

Content Provider	IEEE Xplore Digital Library
Author	Shipman, G. Campbell, S. Dillow, D. Doucet, M. Kohl, J. Granroth, G. Miller, R. Stansberry, D. Proffen, T. Taylor, R.
Copyright Year	2014
Description	Author affiliation: Oak Ridge Nat. Lab., Oak Ridge, TN, USA (Shipman, G.; Campbell, S.; Dillow, D.; Doucet, M.; Kohl, J.; Granroth, G.; Miller, R.; Stansberry, D.; Proffen, T.; Taylor, R.)
Abstract	ORNL operates the world's brightest neutron source, the Spallation Neutron Source (SNS). Funded by the US DOE Office of Basic Energy Science, this national user facility hosts hundreds of scientists from around the world, providing a platform to enable break-through research in materials science, sustainable energy, and basic science. While the SNS provides scientists with advanced experimental instruments, the deluge of data generated from these instruments represents both a big data challenge and a big data opportunity. For example, instruments at the SNS can now generate multiple millions of neutron events per second providing unprecedented experiment fidelity but leaving the user with a dataset that cannot be processed and analyzed in a timely fashion using legacy techniques. To address this big data challenge, ORNL has developed a near real-time streaming data reduction and analysis infrastructure. The Accelerating Data Acquisition, Reduction, and Analysis (ADARA) system provides a live streaming data infrastructure based on a high-performance publish subscribe system, in situ data reduction, visualization, and analysis tools, and integration with a high-performance computing and data storage infrastructure. ADARA allows users of the SNS instruments to analyze their experiment as it is run and make changes to the experiment in real-time and visualize the results of these changes. In this paper we describe ADARA, provide a high-level architectural overview of the system, and present a set of use-cases and real-world demonstrations of the technology.
Starting Page	223
Ending Page	230
File Size	1959798
Page Count	8
File Format	PDF
ISBN	9781479942886
e-ISBN	9781479942879
DOI	10.1109/eScience.2014.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Visualization Instruments Data acquisition Data visualization Neutrons Big Data Data Analysis Data processing HPC Monitoring
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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