Usage Pattern Analysis for the Summit Login Nodes
High performance computing (HPC) users interact with Summit through dedicated gateways, also known as login nodes. The performance and stability of these login nodes can have a significant impact on the user experience. In this study, the performance and stability of Summit’s five login nodes are evaluated by analyzing the log data from 2020 and 2021. The analysis focuses on the computing capability (CPU average load, users and tasks) and the storage performance, along with the associated job scheduler activity. The outcome of this study can serve as the foundation of a predictive modeling framework that enables the system admin of an HPC system to preemptively deploy countermeasures before the onset of a system failure.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1923179
- Resource Relation:
- Journal Volume: 1690; Conference: Smoky Mountains Computational Sciences and Engineering Conference 2022 (SMC) - Remote, Tennessee, United States of America - 8/24/2022 12:00:00 PM-8/25/2022 12:00:00 PM
- Country of Publication:
- United States
- Language:
- English
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