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DOE OSTI · 1490730

Performance Understanding and Analysis for Exascale Data Management Workflows (Collaboration)

Eisenhauer, Greg
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Abstract

The general approach of the MONA project is depicted in Figure 1. The figure shows performance monitoring applied to an I/O workflow associated with a scientific simulation, with online measurements captured from this workflow informing methods for workflow reconfiguration and dynamic adjustment. The goal is to maintain suitable levels of Quality of Service for workflow execution, by understanding the underlying causes of workflow performance and behavior. One outcome will be workflow performance models able to characterize realistic workflows. Another outcome will be performance ‘mini-apps’ implementing such workflow behavior. Out of scope for this project are advanced methods for online workflow control.

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Eisenhauer, Greg. 2020-06-16. Performance Understanding and Analysis for Exascale Data Management Workflows (Collaboration). https://doi.org/10.2172/1490730

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