Comparative case study between D3 & Highcharts on Lustre metadata visualization

Author

ElTayeby, Omar ; John, Deepak ; Patel, Pragati ; Simmerman, Scott

fYear

2013

fDate

13-14 Oct. 2013

Firstpage

127

Lastpage

128

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. A web-based application to monitor the Lustre file system for system administrators and operation teams has been developed using D3 and Highcharts. This application is a use case to compare those JavaScript libraries demonstrating the differences in capabilities of using them. The goal of this application is to provide time-series visuals of the Remote Procedure Calls (RPCs) and storage patterns of users on Kraken, a University of Tennessee High Performance Computing (HPC) resource in Oak Ridge National Laboratory (ORNL).

Keywords

data analysis; data visualisation; distributed databases; meta data; D3; Highcharts; JavaScript libraries; Kraken HPC resource; Lustre file system; Lustre metadata visualization; Oak Ridge National Laboratory; RPC; University of Tennessee; Web-based application; high performance computing; pattern discovery; remote procedure calls; time-series data sets; visual analytics; D3; High Performance Computers; Highcharts; Lustre file system; web-based visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Large-Scale Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on

Conference_Location

Atlanta, GA

Type

conf

DOI

10.1109/LDAV.2013.6675172

Filename

6675172