CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishNowadays, we are observing an explosion in the proliferation of clinical data. In this context, a typical example of the well-known big data problem is represented by the huge amount of Magnetic Resonance Imaging (MRI) files that need to be stored and analysed. Although the Cloud computing technology can address such a demanding problem, data reliability, availability and privacy are three of the major concerns against the large scale adoption of Cloud storage systems in the healthcare context - this is why hospitals are reluctant to move the patients' data over the Cloud. In this paper, we focus on data reliability and availability and we discuss an approach that allows healthcare centres storing clinical data in a Multi-Cloud storage environment while guaranteeing patients' privacy. Experiments proved the feasibility of our approach.
| Titolo: | Big MRI Data Dissemination and Retrieval in a Multi-Cloud Hospital Storage System |
| Autori: | GALLETTA, Antonino (Primo) CELESTI, Antonio (Secondo) VILLARI, Massimo (Ultimo) |
| Data di pubblicazione: | 2017 |
| Abstract: | Nowadays, we are observing an explosion in the proliferation of clinical data. In this context, a typical example of the well-known big data problem is represented by the huge amount of Magnetic Resonance Imaging (MRI) files that need to be stored and analysed. Although the Cloud computing technology can address such a demanding problem, data reliability, availability and privacy are three of the major concerns against the large scale adoption of Cloud storage systems in the healthcare context - this is why hospitals are reluctant to move the patients' data over the Cloud. In this paper, we focus on data reliability and availability and we discuss an approach that allows healthcare centres storing clinical data in a Multi-Cloud storage environment while guaranteeing patients' privacy. Experiments proved the feasibility of our approach. |
| Handle: | http://hdl.handle.net/11570/3110385 |
| ISBN: | 978-1-4503-5249-9 |
| Appare nelle tipologie: | 14.d.3 Contributi in extenso in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| p162-galletta.pdf | Articolo principale | Versione Editoriale (PDF) | Tutti i diritti riservati (All rights reserved) | Open Access Visualizza/Apri |
| 3110385.pdf | Altro materiale allegato (es. Copertina, Indice, Materiale supplementare, Brevetti, Spin off, Start up, etc.) | Tutti i diritti riservati (All rights reserved) | Open Access Visualizza/Apri |
Copyright © 2021