Large-Scale System Monitoring Experiences and Recommendations Workshop paper: HPCMASPA 2018

Abstract
Monitoring of High Performance Computing (HPC) platforms is critical to successful operations, can provide insights into performance-impacting conditions, and can inform methodologies for improving science throughput. However, monitoring systems are not generally considered core capabilities in system requirements specifications nor in vendor development strategies. In this paper we present work performed at a number of large-scale HPC sites towards developing monitoring capabilities that fill current gaps in ease of problem identification and root cause discovery. We also present our collective views, based on the experiences presented, on needs and requirements for enabling development by vendors or users of effective sharable end-to-end monitoring capabilities.

Citation
Ahlgren, V., Andersson, S., Brandt, J., Cardo, N., Chunduri, S., Enos, J., … Williams, J. (2018). Large-Scale System Monitoring Experiences and Recommendations. 2018 IEEE International Conference on Cluster Computing (CLUSTER). doi:10.1109/cluster.2018.00069

Acknowledgements
This research was supported by and used resources of the Argonne Leadership Computing Facility, which is a U.S. Department of Energy Office of Science User Facility operated under contract DE-AC02-06CH11357. This document is approved for release under LA-UR-18-26485.

Publisher
IEEE

Conference/Event Name
2018 IEEE International Conference on Cluster Computing, CLUSTER 2018

DOI
10.1109/CLUSTER.2018.00069

Additional Links
https://ieeexplore.ieee.org/document/8514913/

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