Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 07023 | |
Number of page(s) | 8 | |
Section | T7 - Clouds, virtualisation & containers | |
DOI | https://doi.org/10.1051/epjconf/201921407023 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921407023
Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos
1
INFN Bari, Via E. Orabona 4,
70125
Bari,
Italy
2
Santer Reply S.p.A., Via Robert Koch 1/4,
20152
Milano,
Italy
3
Instituto de Instrumentación para Imagen Molecular (I3M). Centro mixto CSIC - Universitat Politèc-nica de València. Camino de Vera s/n,
46022,
Valencia,
Spain
4
Ruđer Bošković Institute, Bijenicka cesta 54,
10000
Zagreb,
Croatia
5
INFN-CNAF, Viale Berti Pichat 6/2,
40127
Bologna,
Italy
* e-mail: marica.antonacci@ba.infn.i
Published online: 17 September 2019
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, message queue, cache, workers and frontend) that need to be properly installed, configured and linked together. These operations, along with the provisioning of the resources and their monitoring and maintenance, can be challenging for individual researchers or small-to-moderate-sized research groups. To this purpose, the INDIGO-DataCloud platform provides advanced features for orchestrating the deployment of complex virtual infrastructures on distributed cloud environments: it is able to provision the required resources automatically over heterogeneous and/or hybrid cloud infrastructures and to configure them automatically ensuring dynamic elasticity and resilience. This approach has been successfully adapted to support the needs of the researchers and scholars in the domain of the Digital Arts and Humanities.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.