Underwater Mediterranean image analysis based on the compute continuum paradigm
Human activity depends on the oceans for food, transportation, leisure, and many more purposes. Oceans cover 70% of the Earth’s surface, but most of them are unknown to humankind. This is the reason why underwater imaging is a valuable resource asset to Marine Science. Images are acquired with observing systems, e.g. autonomous underwater vehicles or underwater observatories, that presently transmit all the raw data to land stations. However, the transfer of such an amount of data could be challenging, considering the limited power supply and transmission bandwidth of these systems. In this paper, we discuss these aspects, and in particular how it is possible to couple Edge and Cloud computing for effective management of the full processing pipeline according to the Compute Continuum paradigm.
Authors
- Daniele D’Agostino (ORCID: https://orcid.org/0000-0003-2649-0071)
- Simone Marini (ORCID: https://orcid.org/0000-0003-0665-7815)
- Jacopo Aguzzi (ORCID: https://orcid.org/0000-0002-1484-8219)
- Michele Ferrari (ORCID: https://orcid.org/0000-0001-6370-605X)
Institutions
- Stazione Zoologica Anton Dohrn (IT)
- Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche (IT)
- Institut de Ciències del Mar (ES)
- National Research Council (IT)
- University of Genoa (IT)
- University of Palermo (IT)
Publication Details
- Journal
- Future Generation Computer Systems
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1016/j.future.2024.107481
- Citations
- 9
- Primary Topic
- Underwater Vehicles and Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 3.02
Funders
- European Commission
- European Geosciences Union
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Ministry of Science,Technology and Research
- Naturalis Biodiversity Center
- Center for Risk-Based Community Resilience Planning