Comparative case study between D3 & Highcharts on Lustre metadata visualization

Omar Eltayeby, Dwayne John, Pragnesh Patel, S. Simmerman
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引用次数: 11

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).
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D3和Highcharts在Lustre元数据可视化上的比较案例研究
可视化分析中具有挑战性的任务之一是针对聚类时间序列数据集,因为对于数据分析师来说,在关注特定子集的同时发现随时间变化的模式是很重要的。我们使用D3和Highcharts开发了一个基于web的应用程序,为系统管理员和操作团队监控Lustre文件系统。这个应用程序是一个用例,用于比较这些JavaScript库,演示使用它们的能力的差异。该应用程序的目标是提供Kraken(橡树岭国家实验室(ORNL)的田纳西大学高性能计算(HPC)资源)上的远程过程调用(rpc)和用户存储模式的时间序列可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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