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Provenance Research Bibi Provenance Research Bibi

Provenance Research Bibi - PowerPoint Presentation

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Provenance Research Bibi - PPT Presentation

Raju Todd Elsethagen Eric Stephan 1 Pacific Northwest National Laboratory Richland WA Provenance Goals Provenance Overarching Goals Provide thorough results explanation Reuse repeat or reproduce workflows ID: 808166

performance provenance capture workflow provenance performance workflow capture protocol acme information wfm progress model developed store client metrics api

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Presentation Transcript

Slide1

Provenance Research

Bibi Raju, Todd Elsethagen, Eric Stephan

1

Pacific Northwest National Laboratory, Richland, WA

Slide2

Provenance Goals

Provenance Overarching

GoalsProvide thorough results explanationReuse, repeat, or reproduce workflowsEnable performance

optimization

Provenance Work in FY15

Developed a provenance capture ontologyProvenance infrastructure build outScalable provenance capture mechanismDeveloped a Client API that aids in production of provenance

2

Slide3

Provenance for Reproducibility and Performance Provenance

Provenance for

ReproducibilityWork towards achieving numerical, experimental

and

execution reproducibility.

Performance ProvenanceAugment/replace existing strategies with the Open Provenance Model-based WorkFlow Performance Provenance (OPM-WFPP):Capture empirical performance information from workflows and systemsLinks provenance information and performance metrics3

Input

Appl

.

Input

Appl.

Output

WFM

WFM

WFM

Output

Storage

Network

Core

Inter

connect

Core

Network

Storage

Protocol

OS

Protocol

Protocol

OS

Access Protocol

Workflow

System Software

Systems

Access Protocol

Slide4

Status

Roadmap for FY16

Incorporate time-series

system environment metrics

store (In Progress)

Add provenance capture mechanism that can handle the high-velocity provenance information – scalability (In Progress)Develop different language bindings for ProvEn Client API Design services supporting the harvesting of provenance from native source typesPerformance metrics reporting user interface

4

Slide5

ACME – IPPD – Panorama Collaboration

Joint route forward, where the Panorama Pegasus workflow

is used to implement an ACME workflow and capture provenance. ACME workflow with ASCR Integrated

end-to-end Performance Prediction and Diagnosis for Extreme Scientific

Workflows (IPPD)

provenance model adapted for ACMEIPPD developed provenance store instance for ACME. 5

Slide6

Thank You!

bibi.raju@pnnl.gov

6