Scientific Visualization on the Cloud: the NEANIAS Services towards EOSC Integration.

The scientific work “Scientific Visualization on the Cloud: the NEANIAS Services towards EOSC Integration”, with the support of NEANIAS project, has been published in Journal of Grid Computing volume 20, Article number 7 (2022) on March 1st, 2022.

  • Authors: Eva Sciacca, Mel Krokos, Cristobal Bordiu, Carlos Brandt, Fabio Vitello, Filomena Bufano, Ugo Becciani, Mario Raciti, Giuseppe Tudisco, Simone Riggi, Eugenio Topa, Sami Azzi, Benjamin Kyd, Simone Mantovani, Laura Vettorello, Jiacheng Tan, Josep Quintana, Ricard Campos & Noela Pina
  • Affiliations: E. Sciacca  · C. Bordiu · F. Bufano · U. Becciani · M. Raciti · G. Tudisco · S. Riggi: INAF, Catania Astrophysical Observatory; F. Vitello: INAF, Institute of Radioastronomy; M. Krokos · B. Kyd · S. Azzi: School of Creative Technologies, University of Portsmouth; C. Brandt: Jacobs University Bremen; E. Topa: ALTEC Spa; J. Tan: School of Computing, University of Portsmouth; S. Mantovani · L. Vettorello: MEEO S.r.l.; J. Quintana · R. Campos: CORONIS Computing S.L; N. Pina: Ubiwhere Lda.,

Abstract

NEANIAS is a research and innovation action project funded by the European Union under the Horizon 2020 program. The project addresses the challenge of prototyping novel solutions for the underwater, atmospheric and space research communities, creating a collaborative research ecosystem, and contributing to the effective materialization of the European Open Science Cloud (EOSC). NEANIAS drives the co-design, implementation, delivery, and integration into EOSC of innovative thematic and core services, derived from state-of-the-art assets and practices in the target scientific communities. We present the overall NEANIAS ecosystem architecture, with an emphasis on its core visualization services, detailing their specifications and software development plan, and focusing on the underpinning service-oriented architecture for their delivery. We report on the underlying ideas and guiding principles for designing such visualization services, outlining their current release status and future development roadmaps towards Technological Readiness Level (TRL) 8 maturity and EOSC integration.

Acknowledgments

The research leading to these results has received funding from the European Commission’s Horizon 2020 research and innovation programme under the grant agreement No. 863448 (NEANIAS).

Get the paper at https://doi.org/10.1007/s10723-022-09598-y

 

EU Flag  NEANIAS is a Research and Innovation Action funded by European Union under Horizon 2020 research and innovation programme via grant agreement No.863448.