Visualizing Multidimensional Health Status of Data Centers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Monitoring data centers is challenging due to their size, complexity, and dynamic nature. This project proposes a visual approach for situational awareness and health monitoring of high-performance computing systems. The visualization requirements are expanded on the following dimensions: (1) High performance computing spatial layout, (2) Temporal domain (historical vs. real-time tracking), and (3) System health services such as temperature, CPU load, memory usage, fan speed, and power consumption. To show the effectiveness of our design, we demonstrate the developed prototype on a medium-scale data center of 10 racks and 467 hosts. The work was developed using feedback from both industrial and acadamic domain experts.

Original languageEnglish
Title of host publicationProgramming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers
EditorsAbhinav Bhatele, David Boehme, Joshua A. Levine, Allen D. Malony, Martin Schulz
PublisherSpringer-Verlag
Pages273-283
Number of pages11
ISBN (Print)9783030178710
DOIs
StatePublished - 2019
Event6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th International Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th International Workshop on Visual Performance Analysis, VPA 2018 - Dallas, United States
Duration: Nov 11 2018Nov 16 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11027 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th International Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th International Workshop on Visual Performance Analysis, VPA 2018
CountryUnited States
CityDallas
Period11/11/1811/16/18

Keywords

  • Baseboard management controller
  • Data center visualization
  • High-dimensional data
  • High-performance computing systems
  • Nagios Core
  • Redfish RESTful API
  • Scatterplots
  • Visual features

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  • Cite this

    Dang, T. (2019). Visualizing Multidimensional Health Status of Data Centers. In A. Bhatele, D. Boehme, J. A. Levine, A. D. Malony, & M. Schulz (Eds.), Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers (pp. 273-283). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11027 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-17872-7_17