Cargando…
Running Parallel, Distributed ROOT Analysis with PyRDF on Public Cloud - AWS Lambda Case Study
<!--HTML-->ROOT framework is a standard tool for HEP data storage and analysis. Current approaches for parallel and distributed processing in ROOT require either batch systems such as HTCondor, or big data frameworks like Apache Spark supported by the recently added PyRDF interface. However, t...
Autor principal: | Kusnierz, Jacek |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2750326 |
Ejemplares similares
-
Programming AWS Lambda
por: Chapin, John
Publicado: (2020) -
Profiling distributed execution in ROOT’s DistRDF
por: Crognaletti, Giulio
Publicado: (2022) -
Serverless architectures on AWS: with examples using AWS Lambda
por: Sbarski, Peter
Publicado: (2017) -
Cloud-based RDF data management
por: Kaoudi, Zoi, et al.
Publicado: (2020) -
Hands-on serverless computing: build, run, and orchestrate serverless applications using AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions
por: Chowhan, Kuldeep
Publicado: (2018)