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DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud

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Original languageEnglish
Title of host publicationProceedings of the IEEE eScience 2019 proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
Publication statusAccepted/In press - 24 Jul 2019
EventBridging from Concepts to Data and Computation for eScience (BC2DC’19) Workshop: A workshop co-located with the eScience 2019 International Conference - San Diego, California, United States
Duration: 24 Sep 201924 Sep 2019
https://bc2dc.github.io/

Workshop

WorkshopBridging from Concepts to Data and Computation for eScience (BC2DC’19) Workshop
Abbreviated titleBC2DC 2019
CountryUnited States
CitySan Diego, California
Period24/09/1924/09/19
Internet address

Abstract

The DARE platform has been designed to help research developers deliver user-facing applications and solutions over diverse underlying e-infrastructures, data and computational contexts. The platform is Cloud-ready, and relies on the exposure of API, which are suitable for raising the abstraction level and hiding complexity. It implements the cataloguing and execution of fine-grained and Python-based dispel4py workflows as services. Reflection is achieved via a logical knowledge base, comprising multiple internal catalogues, registries and semantics, while it supports persistent and pervasive data provenance. This paper presents design and implementation aspects of the DARE platform, as well as it provides directions for future development.

    Research areas

  • software platform, cloud, technology, conceptualization, data-driven science, scientific workflows, provenance, workflow optimization

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