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Relevant bibliographies by topics / Indigo Datacloud

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Academic literature on the topic 'Indigo Datacloud'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Indigo Datacloud"

1

Ceccanti, A., M. Hardt, B. Wegh, et al. "The INDIGO-Datacloud Authentication and Authorization Infrastructure." Journal of Physics: Conference Series 898 (October 2017): 102016. http://dx.doi.org/10.1088/1742-6596/898/10/102016.

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2

Antonacci, Marica, Alberto Brigandì, Miguel Caballer, et al. "Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos." EPJ Web of Conferences 214 (2019): 07023. http://dx.doi.org/10.1051/epjconf/201921407023.

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In the framework of the H2020 INDIGO-DataCloud project, we have implemented an advanced solution for the automatic deployment of digital data repositories based on Invenio, the digital library framework developed by CERN. Exploiting cutting-edge technologies, such as Docker and Apache Mesos, and standard specifications to describe application architectures such as TOSCA, we are able to provide a service that simplifies the process of creating and managing repositories of various digital assets using cloud resources. An Invenio-based repository consists of a set of services (e.g. database, mess

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3

Ceccanti, Andrea, Enrico Vianello, Marco Caberletti, and Francesco Giacomini. "Beyond X.509: token-based authentication and authorization for HEP." EPJ Web of Conferences 214 (2019): 09002. http://dx.doi.org/10.1051/epjconf/201921409002.

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X.509 certificates and VOMS have proved to be a secure and reliable solution for authentication and authorization on the Grid, but also showed usability issues and required the development of ad-hoc services and libraries to support VO-based authorization schemes in Grid middleware and experiment computing frameworks. The need to move beyond X.509 certificates is recognized as an important objective in the HEP R&D roadmap for software and computing, to overcome the usability issues of the current AAI and embrace recent advancement in web technologies widely adopted in industry, but also to

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4

Salomoni, D., I. Campos, L. Gaido, et al. "INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures." Journal of Grid Computing 16, no. 3 (2018): 381–408. http://dx.doi.org/10.1007/s10723-018-9453-3.

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Aiftimiei, D. C., M. Antonacci, S. Bagnasco, et al. "Geographically distributed Batch System as a Service: the INDIGO-DataCloud approach exploiting HTCondor." Journal of Physics: Conference Series 898 (October 2017): 052033. http://dx.doi.org/10.1088/1742-6596/898/5/052033.

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Lopez Garcia, Alvaro, Lisa Zangrando, Massimo Sgaravatto, et al. "Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers." Journal of Physics: Conference Series 898 (October 2017): 092010. http://dx.doi.org/10.1088/1742-6596/898/9/092010.

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7

Bagnasco, Stefano, Sara Vallero, and Valentina Zaccolo. "Fair Share Scheduler for OpenNebula." EPJ Web of Conferences 214 (2019): 07001. http://dx.doi.org/10.1051/epjconf/201921407001.

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A small Cloud infrastructure for scientific computing likely operates in a saturated regime, which imposes to optimize the allocation of resources. Tenants typically pay a priori for a fraction of the overall resources. Within this business model, an advanced scheduling strategy is needed in order to optimize the data centre occupancy. FaSS, a Fair Share Scheduler service for OpenNebula, addresses this issue by satisfying resource requests according to an algorithm, which prioritizes tasks according to an initial weight and to the historical resource usage of the project. In this proceedings,

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8

Płóciennik, Marcin, Sandro Fiore, Giacinto Donvito, et al. "Two-level Dynamic Workflow Orchestration in the INDIGO DataCloud for Large-scale, Climate Change Data Analytics Experiments." Procedia Computer Science 80 (2016): 722–33. http://dx.doi.org/10.1016/j.procs.2016.05.359.

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9

Orviz Fernández, Pablo, Mário David, Doina Cristina Duma, Elisabetta Ronchieri, Jorge Gomes, and Davide Salomoni. "Software Quality Assurance in INDIGO-DataCloud Project: a Converging Evolution of Software Engineering Practices to Support European Research e-Infrastructures." Journal of Grid Computing 18, no. 1 (2020): 81–98. http://dx.doi.org/10.1007/s10723-020-09509-z.

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Spiga, Daniele, Marica Antonacci, Tommaso Boccali, et al. "Exploiting private and commercial clouds to generate on-demand CMS computing facilities with DODAS." EPJ Web of Conferences 214 (2019): 07027. http://dx.doi.org/10.1051/epjconf/201921407027.

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Minimising time and cost is key to exploit private or commercial clouds. This can be achieved by increasing setup and operational efficiencies. The success and sustainability are thus obtained reducing the learning curve, as well as the operational cost of managing community-specific services running on distributed environments. The greater beneficiaries of this approach are communities willing to exploit opportunistic cloud resources. DODAS builds on several EOSC-hub services developed by the INDIGO-DataCloud project and allows to instantiate on-demand container-based clusters. These execute

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Conference papers on the topic "Indigo Datacloud"

1

Fiore, Sandro, Cosimo Palazzo, Alessandro D'Anca, et al. "Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project." In CF '17: Computing Frontiers Conference. ACM, 2017. http://dx.doi.org/10.1145/3075564.3078884.

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