Gabriele Pierantoni
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
Tamas Kiss
Alexander Bolotov
Dimitrios Kagialis
James DesLauriers
Dr Amjad Ullah A.Ullah@napier.ac.uk
Lecturer
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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Toward A Reference Architecture Based Science Gateway Framework With Embedded E‐learning Support
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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