HiperJobViz: Visualizing resource allocations in high-performance computing center via multivariate health-status data

Ngan Nguyen, Tommy Dang, Jon Hass, Yong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of DAAC 2019
Subtitle of host publication3rd Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
ISBN (Electronic)9781728159911
DOIs
StatePublished - Nov 2019
Event3rd IEEE/ACM Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control, DAAC 2019 - Denver, United States
Duration: Nov 22 2019 → …

Publication series

NameProceedings of DAAC 2019: 3rd Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference3rd IEEE/ACM Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control, DAAC 2019
CountryUnited States
CityDenver
Period11/22/19 → …

Keywords

  • Customizable Radar Charts
  • Health Metrics
  • High-Performance Computing Centers
  • Job Scheduling
  • Multivariate analysis
  • Parallel Coordinates
  • Power Consumption

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