de.NBI Cloud federation through ELIXIR AAI.

Authentication Authorization Cloud Computing ELIXIR Life Sciences OpenID Connect de.NBI de.NBI Cloud

Journal

F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320

Informations de publication

Date de publication:
2019
Historique:
accepted: 16 05 2019
entrez: 30 7 2019
pubmed: 30 7 2019
medline: 13 6 2020
Statut: epublish

Résumé

The academic de.NBI Cloud offers compute resources for life science research in Germany.  At the beginning of 2017, de.NBI Cloud started to implement a federated cloud consisting of five compute centers, with the aim of acting as one resource to their users. A federated cloud introduces multiple challenges, such as a central access and project management point, a unified account across all cloud sites and an interchangeable project setup across the federation. In order to implement the federation concept, de.NBI Cloud integrated with the ELIXIR authentication and authorization infrastructure system (ELIXIR AAI) and in particular Perun, the identity and access management system of ELIXIR. The integration solves the mentioned challenges and represents a backbone, connecting five compute centers which are based on OpenStack and a web portal for accessing the federation.This article explains the steps taken and software components implemented for setting up a federated cloud based on the collaboration between de.NBI Cloud and ELIXIR AAI. Furthermore, the setup and components that are described are generic and can therefore be used for other upcoming or existing federated OpenStack clouds in Europe.

Identifiants

pubmed: 31354949
doi: 10.12688/f1000research.19013.1
pmc: PMC6635982
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

842

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Références

F1000Res. 2018 Aug 6;7:
pubmed: 30254736

Auteurs

Peter Belmann (P)

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, North Rhine-Westphalia, 33104, Germany.

Björn Fischer (B)

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, North Rhine-Westphalia, 33104, Germany.

Jan Krüger (J)

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, North Rhine-Westphalia, 33104, Germany.

Michal Procházka (M)

Institute of Computer Science, Masaryk University, Brno, 602 00, Czech Republic.

Helena Rasche (H)

Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Baden-Württemberg, 79110, Germany.

Manuel Prinz (M)

Omics IT and Data Management Core Facility (ODCF), German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, 69120, Germany.

Maximilian Hanussek (M)

Center for Bioinformatics (Applied Bioinformatics Group), University of Tübingen, Tübingen, Baden-Württemberg, 72076, Germany.
High Performance and Cloud Computing group (ZDV), University of Tübingen, Tübingen, Baden-Württemberg, 72074, Germany.

Martin Lang (M)

Omics IT and Data Management Core Facility (ODCF), German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, 69120, Germany.

Felix Bartusch (F)

High Performance and Cloud Computing group (ZDV), University of Tübingen, Tübingen, Baden-Württemberg, 72074, Germany.

Benjamin Gläßle (B)

High Performance and Cloud Computing group (ZDV), University of Tübingen, Tübingen, Baden-Württemberg, 72074, Germany.

Jens Krüger (J)

High Performance and Cloud Computing group (ZDV), University of Tübingen, Tübingen, Baden-Württemberg, 72074, Germany.

Alfred Pühler (A)

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, North Rhine-Westphalia, 33104, Germany.

Alexander Sczyrba (A)

Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, North Rhine-Westphalia, 33104, Germany.

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Classifications MeSH