The LCLStream Ecosystem for Multi-Institutional Dataset Exploration

Q: What type of study is this?

This is a Experimental Study study.

David Rogers; Valerio Mariani; Cong Wang; Ryan Coffee; W. Kroeger; Murali Shankar; Harry Schwander; Tom Beck; Frédéric Poitevin; Jana Thayer

doi:10.48550/arxiv.2510.04012

October 5, 2025Open Access

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration

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Key Points

The LCLStream framework improves high-speed data streaming for X-ray science analysis, enhancing experimental capabilities.
This system supports AI training and X-ray time-of-flight analysis, merging cloud microservices with traditional HPC models.
The API-driven data request service enhances the flexibility and security of data access for various scientific applications.
It addresses significant gaps in the Distributed Processing landscape, enabling new applications for future experiments.

Implication

Experimental data streaming framework supports AI training and high-rate X-ray time-of-flight analysis, indicating significant advancements for the X-ray science community.

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Cite This Study

Rogers et al. (2025) studied this question.

synapsesocial.com/papers/68e90f526476c097794aa421 https://doi.org/10.48550/arxiv.2510.04012

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The LCLStream Ecosystem for Multi-Institutional Dataset Exploration

Key Points

Implication

Discussion

Cite This Study

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration

Key Points

Implication

Discussion

Cite This Study

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