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

Published: 02 July 2017 Publication History

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.

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  • (2023)Tree representations of brain structural connectivity via persistent homologyFrontiers in Neuroscience10.3389/fnins.2023.120037317Online publication date: 13-Oct-2023
  • (2023)Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature reviewJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00367-612:1Online publication date: 12-Jan-2023
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    cover image ACM Other conferences
    DH '17: Proceedings of the 2017 International Conference on Digital Health
    July 2017
    256 pages
    ISBN:9781450352499
    DOI:10.1145/3079452
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 July 2017

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    Author Tags

    1. big data
    2. cloud computing
    3. hospital information system
    4. mri
    5. storage

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    • Short-paper

    Funding Sources

    • EU 7th Framework Programme

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    DH '17
    DH '17: International Conference on Digital Health
    July 2 - 5, 2017
    London, United Kingdom

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    Cited By

    View all
    • (2024)Investigating the Applicability of Nested Secret Share for Drone Fleet Photo StorageIEEE Transactions on Mobile Computing10.1109/TMC.2023.326311523:4(2671-2683)Online publication date: Apr-2024
    • (2023)Tree representations of brain structural connectivity via persistent homologyFrontiers in Neuroscience10.3389/fnins.2023.120037317Online publication date: 13-Oct-2023
    • (2023)Understanding the challenges and novel architectural models of multi-cloud native applications – a systematic literature reviewJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00367-612:1Online publication date: 12-Jan-2023
    • (2021)Overcoming security limitations of Secret Share techniques: the Nested Secret Share2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom53373.2021.00054(289-296)Online publication date: Oct-2021
    • (2020)Blockchain-Based Healthcare Workflow for Tele-Medical Laboratory in Federated Hospital IoT CloudsSensors10.3390/s2009259020:9(2590)Online publication date: 2-May-2020
    • (2020)Verifiable Secret Share for file storage with cheater identification2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)10.1109/CCGrid49817.2020.000-9(788-793)Online publication date: May-2020
    • (2020)How to Manage Efficiently Clinical Big-Data by Means of Cloud ComputingAdvances in Service-Oriented and Cloud Computing10.1007/978-3-030-63161-1_12(148-157)Online publication date: 5-Dec-2020
    • (2019)Towards Hybrid Multi-Cloud Storage SystemsBig Data Research10.1016/j.bdr.2019.02.00216:C(1-17)Online publication date: 1-Jul-2019

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