Abstract: Exploring Performance Data with Boxfish

Katherine E. Isaacs, Aaditya G. Landge, T. Gamblin, P. Bremer, Valerio Pascucci, B. Hamann
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引用次数: 18

Abstract

The growth in size and complexity of scaling applications and the systems on which they run pose challenges in analyzing and improving their overall performance. With metrics coming from thousands or millions of processes, visualization techniques are necessary to make sense of the increasing amount of data. To aid the process of exploration and understanding, we announce the initial release of Boxfish, an extensible tool for manipulating and visualizing data pertaining to application behavior. Combining and visually presenting data and knowledge from multiple domains, such as the application's communication patterns and the hardware's network configuration and routing policies, can yield the insight necessary to discover the underlying causes of observed behavior. Boxfish allows users to query, filter and project data across these domains to create interactive, linked visualizations.
摘要:利用Boxfish挖掘性能数据
扩展应用程序及其运行的系统的规模和复杂性的增长对分析和改进其整体性能提出了挑战。由于指标来自数千或数百万个流程,因此需要可视化技术来理解不断增加的数据量。为了帮助探索和理解的过程,我们宣布Boxfish的初始版本,这是一个可扩展的工具,用于操作和可视化与应用程序行为有关的数据。将来自多个领域(例如应用程序的通信模式和硬件的网络配置和路由策略)的数据和知识组合并可视化地呈现出来,可以产生必要的洞察力,从而发现观察到的行为的潜在原因。Boxfish允许用户查询、过滤和项目跨这些域的数据,以创建交互式的、链接的可视化。
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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