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 APIs, which are suitable for raising the abstraction level and hiding complexity. At its core, the platform 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.
Original language | English |
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Title of host publication | 2019 15th International Conference on eScience (eScience) |
Publisher | IEEE |
Pages | 578-585 |
Number of pages | 8 |
ISBN (Electronic) | 9781728124513 |
DOIs | |
Publication status | Published - 19 Mar 2020 |
Event | 15th IEEE International Conference on eScience 2019 - San Diego, United States Duration: 24 Sept 2019 → 27 Sept 2019 |
Conference
Conference | 15th IEEE International Conference on eScience 2019 |
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Abbreviated title | eScience 2019 |
Country/Territory | United States |
City | San Diego |
Period | 24/09/19 → 27/09/19 |
Keywords
- Cloud
- Conceptualisation
- Data-driven science
- Provenance
- Scientific workflows
- Software platform
- Technology
- Workflow optimization
ASJC Scopus subject areas
- Computer Science Applications
- Software
- Ecological Modelling
- Modelling and Simulation