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Toward a reference architecture based science gateway framework with embedded e‐learning support

Pierantoni, Gabriele; Kiss, Tamas; Bolotov, Alexander; Kagialis, Dimitrios; DesLauriers, James; Ullah, Amjad; Chen, Huankai; Fee, David Chan You; Dang, Hai?Van; Kovacs, Jozsef; Belehaki, Anna; Herekakis, Themistocles; Tsagouri, Ioanna; Gesing, Sandra

Authors

Gabriele Pierantoni

Tamas Kiss

Alexander Bolotov

Dimitrios Kagialis

James DesLauriers

Huankai Chen

David Chan You Fee

Hai?Van Dang

Jozsef Kovacs

Anna Belehaki

Themistocles Herekakis

Ioanna Tsagouri

Sandra Gesing



Abstract

Science gateways have been widely utilized by a large number of user communities to simplify access to complex distributed computing infrastructures. While science gateways are still becoming increasingly popular and the number of user communities is growing, the fast and efficient creation of new science gateways and the flexibility to deploy these gateways on-demand on heterogeneous computational resources, remain a challenge. Additionally, the increase in the number of users, especially with very different backgrounds, requires intuitive embedded e-learning tools that support all stakeholders to find related learning material and to guide the learning process. This paper introduces a novel science gateway framework that addresses these challenges. The framework supports the creation, publication, selection, and deployment of cloud-based reference architectures that can be automatically instantiated and executed even by nontechnical users. The framework also incorporates a knowledge repository exchange and learning module that provides embedded e-learning support. To demonstrate the feasibility of the proposed solution, two scientific case studies are presented based on the requirements of the plasmasphere, ionosphere, and thermosphere research communities.

Citation

Pierantoni, G., Kiss, T., Bolotov, A., Kagialis, D., DesLauriers, J., Ullah, A., Chen, H., Fee, D. C. Y., Dang, H., Kovacs, J., Belehaki, A., Herekakis, T., Tsagouri, I., & Gesing, S. (2023). Toward a reference architecture based science gateway framework with embedded e‐learning support. Concurrency and Computation: Practice and Experience, 35(18), Article e6872. https://doi.org/10.1002/cpe.6872

Journal Article Type Article
Acceptance Date Jan 6, 2022
Online Publication Date Feb 2, 2022
Publication Date Aug 15, 2023
Deposit Date Aug 18, 2022
Publicly Available Date Aug 19, 2022
Journal Concurrency and Computation: Practice and Experience
Print ISSN 1532-0626
Electronic ISSN 1532-0634
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 35
Issue 18
Article Number e6872
DOI https://doi.org/10.1002/cpe.6872
Keywords cloud orchestration, embedded e-learning support, microservices, reference architectures, science gateways
Public URL http://researchrepository.napier.ac.uk/Output/2897737

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