Cargando…
A Serverless Engine for High Energy Physics Distributed Analysis
The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific collaborations interested in analysing such data very often require computing power beyond a single machine. This issue has been tackled tradit...
Autores principales: | Kuśnierz, Jacek, Padulano, Vincenzo Eduardo, Malawski, Maciej, Burkiewicz, Kamil, Saavedra, Enric Tejedor, Alonso-Jordá, Pedro, Pitt, Michael, Avati, Valentina |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1109/CCGrid54584.2022.00067 http://cds.cern.ch/record/2815205 |
Ejemplares similares
-
Micro-CernVM: Slashing the Cost of Building and Deploying Virtual Machines
por: Blomer, J., et al.
Publicado: (2014) -
Increasing Parallelism in the ROOT I/O Subsystem
por: Amadio, Guilherme, et al.
Publicado: (2018) -
Using Big Data Technologies for HEP Analysis
por: Cremonesi, Matteo, et al.
Publicado: (2019) -
GRID Storage Optimization in Transparent and User-Friendly Way for LHCb Datasets
por: Hushchyn, Mikhail, et al.
Publicado: (2017) -
Big Data in HEP: A comprehensive use case study
por: Gutsche, Oliver, et al.
Publicado: (2017)