Comparative case study between D3 and highcharts on lustre data visualization

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).

Related Papers

• → The Persuasive Power of Data Visualization(2014)216 cited
• → Visualization exploration and encapsulation via a spreadsheet-like interface(2001)96 cited
• → Advanced aggregate computation for large data visualization(2015)14 cited
• → Analysis and Example Implementation of Data Visualization Technology(2022)1 cited
• → A Visualization Primitive for Multiway Relationships(2016)