HiperJobViz: Visualizing Resource Allocations in High-Performance Computing Center via Multivariate Health-Status Data
HiperJobViz: Visualizing Resource Allocations in High-Performance Computing Center via Multivariate Health-Status Data
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DOI：
10.1109/daac49578.2019.00009
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Ngan V. T. Nguyen;Tommy Dang;Jon R. Hass;Yong Chen
中科院分区：
文献类型：
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作者：
Ngan V. T. Nguyen;Tommy Dang;Jon R. Hass;Yong Chen
在高性能计算中心中，由于数据量大、资源分配问题具有动态性，资源分配的调度、可视化和均衡是一项复杂的任务。本文介绍了HiperJobViz，这是一个可视化分析工具，用于可视化数据中心的作业、用户和使用统计数据的资源分配。此工具的目标是：1)提供当前资源使用情况的概述；2)跟踪用户、作业和主机的资源使用情况变化；3)通过运行状况指标（如CPU温度、内存使用情况和功耗）的多维表示提供资源使用情况的详细视图。为了实现这些目标，我们的可视化分析工具提供了全方位的交互功能，包括需求细节、刷屏和链接以及过滤。
Scheduling, visualizing, and balancing resource allocations in High-Performance Computing Centers are complicated tasks due to a large amount of data and the dynamic natures of the resource allocation problem. This paper introduces HiperJobViz, a visual analytic tool for visualizing the resource allocations of data centers for jobs, users, and usage statistics. The goals of this tool are: 1) to provide an overview of the current resource usages, 2) to track changes of resource usages by users, jobs, and hosts and 3) to provide a detailed view of the resource usage via multi-dimensional representation of health metrics, such as CPU temperatures, memory usage, and power consumption. To support these goals, our visual analytics tool provides a full range of interactive features, including details on demands, brushing and links, and filtering.