Cargando…
Software-Defined Storage Optimization of Distributed ALICE Resources
In today’s big data era, data and information are the main capital. High Energy Physics (HEP) as a data-intensive field of research drives significant demands for managing large datasets. Physics data need to be stored, accessed, and properly understood. This paper deals with the increasing resource...
Autores principales: | Lončar, Petra, Gotovac, Sven |
---|---|
Lenguaje: | eng |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.23919/SoftCOM50211.2020.9238270 http://cds.cern.ch/record/2772047 |
Ejemplares similares
-
VMware software-defined storage: a design guide to the policy-driven, software-defined storage era
por: Hosken, Martin
Publicado: (2016) -
Simulation-Based Performance Analysis of the ALICE Mass Storage System
por: Vickovic, L, et al.
Publicado: (2016) -
Scalable Data Processing Model of the ALICE Experiment in the Cloud
por: Loncar, Petra
Publicado: (2023) -
The ALICE Software Release Validation cluster
por: Berzano, Dario, et al.
Publicado: (2015) -
Software defined networks
por: Mishra, Vinod
Publicado: (2019)