DARE: A reflective platform designed to enable agile data-driven research on the cloud

Iraklis Klampanos; Athanasios Davvetas; Andre Gemund; Malcolm Atkinson; Antonis Koukourikos; Rosa Filgueira; Amrey Krause; Alessandro Spinuso; Angelos Charalambidis; Federica Magnoni; Emanuele Casarotti; Christian Page; Mike Lindner; Andreas Ikonomopoulos; Vangelis Karkaletsis

doi:10.1109/eScience.2019.00079

DARE: A reflective platform designed to enable agile data-driven research on the cloud

Iraklis Klampanos^*, Athanasios Davvetas, Andre Gemund, Malcolm Atkinson, Antonis Koukourikos, Rosa Filgueira, Amrey Krause, Alessandro Spinuso, Angelos Charalambidis, Federica Magnoni, Emanuele Casarotti, Christian Page, Mike Lindner, Andreas Ikonomopoulos, Vangelis Karkaletsis

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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
Title of host publication	2019 15th International Conference on eScience (eScience)
Publisher	IEEE
Pages	578-585
Number of pages	8
ISBN (Electronic)	9781728124513
DOIs	https://doi.org/10.1109/eScience.2019.00079
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
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

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10.1109/eScience.2019.00079

Cite this

Klampanos, I., Davvetas, A., Gemund, A., Atkinson, M., Koukourikos, A., Filgueira, R., Krause, A., Spinuso, A., Charalambidis, A., Magnoni, F., Casarotti, E., Page, C., Lindner, M., Ikonomopoulos, A., & Karkaletsis, V. (2020). DARE: A reflective platform designed to enable agile data-driven research on the cloud. In 2019 15th International Conference on eScience (eScience) (pp. 578-585). IEEE. https://doi.org/10.1109/eScience.2019.00079

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title = "DARE: A reflective platform designed to enable agile data-driven research on the cloud",

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.",

keywords = "Cloud, Conceptualisation, Data-driven science, Provenance, Scientific workflows, Software platform, Technology, Workflow optimization",

author = "Iraklis Klampanos and Athanasios Davvetas and Andre Gemund and Malcolm Atkinson and Antonis Koukourikos and Rosa Filgueira and Amrey Krause and Alessandro Spinuso and Angelos Charalambidis and Federica Magnoni and Emanuele Casarotti and Christian Page and Mike Lindner and Andreas Ikonomopoulos and Vangelis Karkaletsis",

note = "Funding Information: This work has been supported by the EU H2020 research and innovation programme under grant agreement No 777413. 1https://ec.europa.eu/research/openscience/index.cfm?pg= open-science-cloud Publisher Copyright: {\textcopyright} 2019 IEEE.; 15th IEEE International Conference on eScience 2019, eScience 2019 ; Conference date: 24-09-2019 Through 27-09-2019",

year = "2020",

month = mar,

day = "19",

doi = "10.1109/eScience.2019.00079",

language = "English",

pages = "578--585",

booktitle = "2019 15th International Conference on eScience (eScience)",

publisher = "IEEE",

address = "United States",

}

Klampanos, I, Davvetas, A, Gemund, A, Atkinson, M, Koukourikos, A, Filgueira, R, Krause, A, Spinuso, A, Charalambidis, A, Magnoni, F, Casarotti, E, Page, C, Lindner, M, Ikonomopoulos, A & Karkaletsis, V 2020, DARE: A reflective platform designed to enable agile data-driven research on the cloud. in 2019 15th International Conference on eScience (eScience). IEEE, pp. 578-585, 15th IEEE International Conference on eScience 2019, San Diego, California, United States, 24/09/19. https://doi.org/10.1109/eScience.2019.00079

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AU - Klampanos, Iraklis

AU - Davvetas, Athanasios

AU - Gemund, Andre

AU - Atkinson, Malcolm

AU - Koukourikos, Antonis

AU - Filgueira, Rosa

AU - Krause, Amrey

AU - Spinuso, Alessandro

AU - Charalambidis, Angelos

AU - Magnoni, Federica

AU - Casarotti, Emanuele

AU - Page, Christian

AU - Lindner, Mike

AU - Ikonomopoulos, Andreas

AU - Karkaletsis, Vangelis

N1 - Funding Information: This work has been supported by the EU H2020 research and innovation programme under grant agreement No 777413. 1https://ec.europa.eu/research/openscience/index.cfm?pg= open-science-cloud Publisher Copyright: © 2019 IEEE.

PY - 2020/3/19

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KW - Conceptualisation

KW - Data-driven science

KW - Provenance

KW - Scientific workflows

KW - Software platform

KW - Technology

KW - Workflow optimization

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PB - IEEE

Y2 - 24 September 2019 through 27 September 2019

ER -

DARE: A reflective platform designed to enable agile data-driven research on the cloud

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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