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Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos

Authors: Marica Antonacci; Alberto Brigandì; Miguel Caballer; Eva Cetinic; Davor Davidović; Giacinto Donvito; Germán Moltó; +1 Authors

Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos

Abstract

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.

Country
Croatia
Subjects by Vocabulary

Microsoft Academic Graph classification: Service (systems architecture) business.industry Provisioning Cloud computing Digital library Software deployment Cache Orchestration (computing) Software engineering business Message queue

Keywords

Architecture of Computer Systems, Data Processing, Physics, QC1-999, HUMANISTIC SCIENCES, Digital repository ; Digital arts and humanities ; cloud ; tosca ; mesos ; indigo datacloud, Information Systems

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    visibility views 226
    download downloads 287
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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  • 226
    views
    287
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
3
Average
Average
Average
226
287
Funded by
EC| INDIGO-DataCloud
Project
INDIGO-DataCloud
INtegrating Distributed data Infrastructures for Global ExplOitation
  • Funder: European Commission (EC)
  • Project Code: 653549
  • Funding stream: H2020 | RIA
Related to Research communities
EGI Federation
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