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Proceedings Paper

Comparative case study between D3 and highcharts on lustre data visualization
Author(s): Omar ElTayeby; Dwayne John; Pragnesh Patel; Scott Simmerman
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Paper Abstract

One of the challenging tasks in visual analytics is to target clustered time-series data sets, since it is important for data analysts to discover patterns changing over time while keeping their focus on particular subsets. In order to leverage the humans ability to quickly visually perceive these patterns, multivariate features should be implemented according to the attributes available. However, a comparative case study has been done using JavaScript libraries to demonstrate the differences in capabilities of using them. A web-based application to monitor the Lustre file system for the systems administrators and the operation teams has been developed using D3 and Highcharts. Lustre file systems are responsible of managing Remote Procedure Calls (RPCs) which include input output (I/O) requests between clients and Object Storage Targets (OSTs). The objective of this application is to provide time-series visuals of these calls and storage patterns of users on Kraken, a University of Tennessee High Performance Computing (HPC) resource in Oak Ridge National Laboratory (ORNL).

Paper Details

Date Published: 3 February 2014
PDF: 8 pages
Proc. SPIE 9017, Visualization and Data Analysis 2014, 90170U (3 February 2014); doi: 10.1117/12.2041900
Show Author Affiliations
Omar ElTayeby, Clark Atlanta Univ. (United States)
Dwayne John, The National Institute for Computational Sciences (United States)
Pragnesh Patel, The National Institute for Computational Sciences (United States)
Scott Simmerman, The National Institute for Computational Sciences (United States)


Published in SPIE Proceedings Vol. 9017:
Visualization and Data Analysis 2014
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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