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DTSTAMP:20250822T115805Z
LOCATION:Room 5.0A52
DTSTART;TZID=Europe/Stockholm:20250618T143000
DTEND;TZID=Europe/Stockholm:20250618T150000
UID:submissions.pasc-conference.org_PASC25_sess127_msa226@linklings.com
SUMMARY:From Operational Data Monitoring to Operational Data Analytics Cha
 tbots
DESCRIPTION:Andrea Bartolini (University of Bologna)\n\nWith generative ar
 tificial intelligence challenging the computational demand supremacy of sc
 ientific computing, data centers are experiencing unprecedented growth in 
 both scale and volume. Computing efficiency has never been more critical t
 o humankind, the economy, and society. Operational Data Analytics (ODA) co
 llects and stores data center telemetry in time-series databases for real-
 time visualization and post-mortem analysis. In this manuscript, I will in
 troduce EXASAGE, the first ODA co-pilot to leverage a Knowledge Graph (KG)
 -based approach, addressing these LLM limitations and simplifying data ret
 rieval tasks in data center facilities through a prototype implementation 
 of a conversational LLM agent.\n\nDomain: Engineering, Computational Metho
 ds and Applied Mathematics\n\nSession Chair: Lubomir Riha (IT4Innovations 
 National Supercomputing Center, VSB-TU Ostrava)\n\n
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