Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos (CROSBI ID 680852)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Antonacci, Marica ; Brigandì, Alberto ; Caballer, Miguel ; Cetinić, Eva ; Davidović, Davor ; Donvito, Giacinto ; Moltó, Germán ; Salomoni, Davide
engleski
Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos
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.
Digital repository ; Digital arts and humanities ; cloud ; tosca ; mesos ; indigo datacloud
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
07023
2019.
objavljeno
10.1051/epjconf/201921407023
Podaci o matičnoj publikaciji
EPJ Web Conf., 214 (2019) 07023
2101-6275
2100-014X
Podaci o skupu
Nepoznat skup
predavanje
29.02.1904-29.02.2096
Povezanost rada
Računarstvo