240 citations · 296 across the 8 of their papers we have counts for
11 papers
FOXDEN: FAIR Services for AI-Ready Scientific Datasets
Valentin Kuznetsov, Werner M. Sun, Keara Soloway +5
Scientific datasets are most compatible with AI workflows when they are described by rich, machine-readable metadata and provenance information, following the FAIR guiding principl…
Migration of CMSWEB Cluster at CERN to Kubernetes
Muhammad Imran, Valentin Kuznetsov, Lina Marcella +3
The CMS experiment heavily relies on the CMSWEB cluster to host critical services for its operational needs. The cluster is deployed on virtual machines (VMs) from the CERN OpenSta…
The CMS monitoring infrastructure and applications
Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger
The globally distributed computing infrastructure required to cope with the multi-petabytes datasets produced by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Coll…
MLaaS4HEP: Machine Learning as a Service for HEP
Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi
Machine Learning (ML) will play a significant role in the success of the upcoming High-Luminosity LHC (HL-LHC) program at CERN. An unprecedented amount of data at the exascale will…
HEP Software Foundation Community White Paper Working Group -- Data Organization, Management and Access (DOMA)
Dario Berzano, Riccardo Maria Bianchi, Ian Bird +35
Without significant changes to data organization, management, and access (DOMA), HEP experiments will find scientific output limited by how fast data can be accessed and digested b…
Gaining insight from large data volumes with ease
Valentin Kuznetsov
Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of us…