Seamless Execution of Scientific Workflows Across Transatlantic OSCAR Clusters for Serverless Event-Driven Computing

This project highlights the integration of the OSCAR serverless platform with the Common Workflow Language (CWL) to enable seamless execution of scientific workflows across transcontinental clusters. By bridging resources from Europe’s EGI federated cloud and the USA’s Chameleon Cloud, this work demonstrates the flexibility and efficiency of the tools developed, which can be applied to a wide variety of DTs, including applications in environmental science, physics, and beyond.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-22
DOI
https://doi.org/10.5281/zenodo.15646849
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Seamless Execution of Scientific Workflows Across Transatlantic OSCAR Clusters for Serverless Event-Driven Computing

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Seamless Execution of Scientific Workflows Across Transatlantic OSCAR Clusters for Serverless Event-Driven Computing

article en

Abstract

This project highlights the integration of the OSCAR serverless platform with the Common Workflow Language (CWL) to enable seamless execution of scientific workflows across transcontinental clusters. By bridging resources from Europe’s EGI federated cloud and the USA’s Chameleon Cloud, this work demonstrates the flexibility and efficiency of the tools developed, which can be applied to a wide variety of DTs, including applications in environmental science, physics, and beyond.

Zenodo (CERN European Organization for Nuclear Research)
Universitat Politècnica de València (ES)
Openalex Percentile: Top 44%
Scientific Computing and Data Management
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Seamless Execution of Scientific Workflows Across Transatlantic OSCAR Clusters for Serverless Event-Driven Computing · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS