UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Big MRI Data Dissemination and Retrieval in a Multi-Cloud Hospital Storage System

Galletta, A; Celesti, A; Tusa, F; Fazio, M; Bramanti, P; Villari, M; (2017) Big MRI Data Dissemination and Retrieval in a Multi-Cloud Hospital Storage System. In: Kostkova, P and Grasso, F and Castillo, C and Mejova, Y and Bosman, A, (eds.) DH '17: Proceedings of the 2017 International Conference on Digital Health. (pp. pp. 162-166). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

[img] Text
Tusa_p162-galletta.pdf - Accepted version

Download (758kB)

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.

Type: Proceedings paper
Title: Big MRI Data Dissemination and Retrieval in a Multi-Cloud Hospital Storage System
Event: 2017 International Conference on Digital Health (DH '17)
ISBN-13: 9781450352499
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3079452.3079507
Publisher version: https://doi.org/10.1145/3079452.3079507
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: MRI, big data, hospital information system, cloud computing
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10054483
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item