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.
Fields of Science and Technology classification (FOS)
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 020203 distributed computing
Sustainable Development Goals (SDG)
1. No poverty
free text keywords: Physics, QC1-999, Digital repository ; Digital arts and humanities ; cloud ; tosca ; mesos ; indigo datacloud, Architecture of Computer Systems, Information Systems, Data Processing, HUMANISTIC SCIENCES, Software deployment, Service (systems architecture), Digital library, Software engineering, business.industry, business, Orchestration (computing), Cloud computing, Message queue, Provisioning, Cache