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Monitoring the performance of a geophysical data processing pipeline using financial analysis inspired tools

William N. Junek, Charles A. Houchin, Joseph A. Wehlen, Alan Poffenberger and Anne S. Henson
Monitoring the performance of a geophysical data processing pipeline using financial analysis inspired tools
Seismological Research Letters (June 2016) 87 (5): 1138-1142

Abstract

Routine monitoring of the United States National Data Center (US NDC) geophysical data processing system's performance is critical for identifying potential or ongoing problems that may otherwise go unnoticed. Daily reviews of the US NDC system's automated network and station processing results are conducted by a human analyst using an interactive web application constructed from a collection of open-source software. A key feature of this tool is its use of time-series visualization techniques typically employed by the financial industry to analyze stock market trends. These techniques allow the user to quickly visualize the relationship between multiple time-series datasets (e.g., automatic detections, background noise, and analyst-reviewed detections). This enables the identification of a variety of problems such as the influence of seasonal noise variations on automatic signal detectors or the effect software changes have on system performance over time. The tool empowers the user to make data-driven decisions when selecting the appropriate corrective action for solving a particular problem.


ISSN: 0895-0695
EISSN: 1938-2057
Serial Title: Seismological Research Letters
Serial Volume: 87
Serial Issue: 5
Title: Monitoring the performance of a geophysical data processing pipeline using financial analysis inspired tools
Affiliation: U. S. Air Force Technical Applications Center, Patrick Air Force Base, FL, United States
Pages: 1138-1142
Published: 20160629
Text Language: English
Publisher: Seismological Society of America, El Cerrito, CA, United States
Number of pages: 5
Accession Number: 2016-072991
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: Leidos Corporation, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201635
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