PROV-IO

Runzhou Han · Suren Byna · Houjun Tang · Bin Dong · Mai Zheng

9 citations0/0 files storedACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)

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Scientific Computing and Data Management Research Data Management Practices Distributed and Parallel Computing Systems

Abstract

cData provenance, or data lineage, describes the life cycle of data. In scientific workflows on HPC systems, scientists often seek diverse provenance (e.g., origins of data products, usage patterns of datasets). Unfortunately, existing provenance solutions cannot address the challenges due to their incompatible provenance models and/or system implementations.

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References

2011The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View]2008Provenance and scientific workflows 2012SPADE: Support for Provenance Auditing in Distributed Environments 2006A Framework for Collecting Provenance in Data-Centric Scientific Workflows 2019Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering 2015Komadu: A Capture and Visualization System for Scientific Data Provenance 2008End-to-End eScience: Integrating Workflow, Query, Visualization, and Provenance at an Ocean Observatory 2019Efficient Runtime Capture of Multiworkflow Data Using Provenance

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2023ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum

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