Managing computational gateway resources with XDMoD

doi:10.1016/j.future.2019.03.029

Managing computational gateway resources with XDMoD

2019-09-01

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Benjamin D. Plessinger

DOI：10.1016/j.future.2019.03.029

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The U.S. National Science Foundation (NSF) has invested heavily in research computing, funding the XSEDE network of supercomputers and enabling their integration with science gateways. To ensure maximal return on this substantial investment, it is essential to monitor the use of these computing resources. XD Metrics on Demand (XDMoD) is an NSF-funded tool that was developed to help manage high performance computational resources. XDMoD metrics describe accounting and performance data for computational jobs, including resources consumed, wait times, and quality of service. XDMoD can provide information on individual jobs, or data aggregated over an ensemble of jobs. Its web interface offers centralized charting, exploration, and reporting of these metrics, for user-selected time ranges, and across resources. XDMoD is directly relevant to the gateways community. In this paper, we introduce XDMoD, demonstrate its utility for gateways, and outline our plans to further enhance its capabilities for the gateways community. Furthermore, we demonstrate how XDMoD can help gateway users and gateway and resource managers answer many questions about utilization, performance, and availability. In doing so, we showcase the evolution of gateways in the XSEDE ecosystem. (C) 2019 Elsevier B.V. All rights reserved.

Keyword:

Science gateways

High performance computing

Monitoring

Managing computational gateway resources with XDMoD

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