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DTSTART;TZID=America/Chicago:20251116T095000
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UID:submissions.supercomputing.org_SC25_sess119_misc182@linklings.com
SUMMARY:The LCLStream Ecosystem for Multi-Institutional Dataset Exploratio
 n
DESCRIPTION:David Rogers (Oak Ridge National Laboratory)\n\nWe describe a 
 new end-to-end experimental data streaming framework designed from the gro
 und up to support new types of applications – AI training, extremely high-
 rate X-ray time-of-flight analysis, crystal structure determination with d
 istributed processing, and custom data science applications and visualizer
 s yet to be created. Throughout, we use design choices merging cloud micro
 services with traditional HPC batch execution models for security and flex
 ibility. This project makes a unique contribution to the DOE Integrated Re
 search Infrastructure (IRI) landscape. By creating a flexible, API-driven 
 data request service, we address a significant need for high-speed data st
 reaming sources for the X-ray science data analysis community. With the co
 mbination of data request API, mutual authentication web security framewor
 k, job queue system, high-rate data buffer, and complementary nature to fa
 cility infrastructure, the LCLStreamer framework has prototyped and implem
 ented several new paradigms critical for future generation experiments.\n\
 nRecording: Livestreamed, Recorded\n\nRegistration Category: Technical Pro
 gram Reg Pass, Workshop Reg Pass\n\nSession Chairs: Justin Wozniak (Argonn
 e National Laboratory (ANL), University of Chicago); Nicholas Schwarz (Arg
 onne National Laboratory (ANL)); and Hannah Parraga (Argonne National Labo
 ratory (ANL))\n\n
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