TY - GEN
T1 - JobViewer
T2 - 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
AU - Dang, Tommy
AU - Nguyen, Ngan V.T.
AU - Li, Jie
AU - Sill, Alan
AU - Hass, Jon
AU - Chen, Yong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Visualization aims to strengthen data exploration and analysis, especially for complex and high-dimensional data. High-performance computing (HPC) systems are typically large and complicated instruments that generate massive performance and operation time series. Monitoring HPC systems' performance is a daunting task for HPC admins and researchers due to their dynamic natures. This work proposes a visual design using the bipartite graph's idea to visualize HPC clusters' structure, metrics, and job scheduling data. We built a web-based prototype, called JobViewer, that integrates advanced methods in visualization and human-computer interaction (HCI) to demonstrate the benefits of visualization in real-time monitoring HPC centers. We also showed real use cases and a user study to validate the efficiency and highlight the current approach's drawbacks.
AB - Visualization aims to strengthen data exploration and analysis, especially for complex and high-dimensional data. High-performance computing (HPC) systems are typically large and complicated instruments that generate massive performance and operation time series. Monitoring HPC systems' performance is a daunting task for HPC admins and researchers due to their dynamic natures. This work proposes a visual design using the bipartite graph's idea to visualize HPC clusters' structure, metrics, and job scheduling data. We built a web-based prototype, called JobViewer, that integrates advanced methods in visualization and human-computer interaction (HCI) to demonstrate the benefits of visualization in real-time monitoring HPC centers. We also showed real use cases and a user study to validate the efficiency and highlight the current approach's drawbacks.
KW - High-Performance Computing Cente
KW - Job Schedulin
KW - Multidimensional Data Visualizatio
KW - Radar Chart
KW - Time-Series Data Analysi
UR - http://www.scopus.com/inward/record.url?scp=85150680124&partnerID=8YFLogxK
U2 - 10.1109/BDCAT56447.2022.00021
DO - 10.1109/BDCAT56447.2022.00021
M3 - Conference contribution
AN - SCOPUS:85150680124
T3 - Proceedings - 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
SP - 110
EP - 119
BT - Proceedings - 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 December 2022 through 9 December 2022
ER -