EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||8|
|Section||T7 - Clouds, virtualisation & containers|
|Published online||17 September 2019|
Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos
INFN Bari, Via E. Orabona 4,
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: firstname.lastname@example.org
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.
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