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Related Experiment Video

Updated: Jan 14, 2026

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

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Data management for distributed computational workflows: An iRODS-based setup and its performance.

Mohamad Hayek¹, Martin Golasowski², Stephan Hachinger¹

¹Leibniz Supercomputing Centre (LRZ), Bavarian Academy of Sciences and Humanities, Garching near Munich, Germany.

|January 12, 2026

Summary

This summary is machine-generated.

Data management frameworks like iRODS with B2SAFE can efficiently handle distributed computing workflows. Optimized configurations allow data transfers to saturate network bandwidth, proving their suitability for federated infrastructures.

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Area of Science:

Scientific data management
High-performance computing infrastructure
Distributed data systems

Background:

Modern data management frameworks are evaluated for their practical efficiency in daily use.
Frameworks must support geographically distributed high-performance and cloud computing systems.
Data transfer performance is critical for saturating network bandwidth in distributed workflows.

Purpose of the Study:

To test the suitability of data management frameworks for distributed computing workflows.
To assess the performance of iRODS with B2SAFE as a data backend for the LEXIS Platform.
To measure wide-area network data transfer performance between supercomputing sites.

Main Methods:

Evaluation of the integrated Rule-Oriented Data System (iRODS) with EUDAT's B2SAFE module.
Construction and assessment of a data infrastructure within the LEXIS Platform.
Measurement of data transfer performance over wide-area networks between supercomputing sites.

Main Results:

Efficient utilization of network bandwidth is achievable with optimized client configurations and file sizes.
iRODS is suitable for integration into federated computing infrastructures, supporting OpenID Connect and online services.
Limitations were identified, and optimization opportunities were discovered for data transfer performance.

Conclusions:

Data management systems like iRODS are capable of meeting the demands of federated computing infrastructures.
The study demonstrates the potential for high-performance data transfers in distributed environments.
Continued exploitation of these properties is planned for data-heavy workflow optimization in projects like EXA4MIND.