skip to main content
10.1145/3079452.3079507acmotherconferencesArticle/Chapter ViewAbstractPublication PagesdhConference Proceedingsconference-collections
short-paper

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

Published:02 July 2017Publication 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.

References

  1. Bhagwat, D., Pollack, K., Long, D. D. E., Schwarz, T., Miller, E. L., and Paris, J.-F. Providing high reliability in a minimum redundancy archival storage system. In Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation (Washington, DC, USA, 2006), MASCOTS'06, IEEE Computer Society, pp. 413--421. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Celesti, A., Fazio, M., Villari, M., and Puliafito, A. Adding long-term availability, obfuscation, and encryption to multi-cloud storage systems. Journal of Network and Computer Applications 59 (2016), 208 -- 218. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Celesti, A., Peditto, N., Verboso, F., Villari, M., and Puliafito, A. Draco paas: A distributed resilient adaptable cloud oriented platform. In 2013 IEEE International Symposium on Parallel Distributed Processing, Workshops and Phd Forum (2013), pp. 1490--1497. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Chang, C. H., Molahosseini, A. S., Zarandi, A. A. E., and Tay, T. F. Residue number systems: A new paradigm to datapath optimization for low-power and high-performance digital signal processing applications. IEEE Circuits and Systems Magazine 15, 4 (2015), 26--44.Google ScholarGoogle ScholarCross RefCross Ref
  5. Fan, K., Zhao, L., Shen, X., Li, H., and Yang, Y. Smart-blocking file storage method in cloud computing. In 2012 1st IEEE International Conference on Communications in China (ICCC) (2012), pp. 57--62.Google ScholarGoogle ScholarCross RefCross Ref
  6. Hai-Jia, W., Peng, L., and Wei-wei, C. The optimization theory of file partition in network storage environment. In Grid and Cooperative Computing (GCC), 2010 9th International Conference on (2010), pp. 30--33. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Huo, Y., Wang, H., Hu, L., and Yang, H. A cloud storage architecture model for data-intensive applications. In Computer and Management (CAMAN), 2011 International Conference on (2011), pp. 1--4.Google ScholarGoogle ScholarCross RefCross Ref
  8. Leavitt, N. Storage challenge: Where will all that big data go? Computer 46, 9 (September 2013), 22--25. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Traverso, G., Demirel, D., Habib, S. M., and Buchmann, J. As3: Adaptive social secret sharing for distributed storage systems. In 2016 14th Annual Conference on Privacy, Security and Trust (PST) (2016), pp. 528--535.Google ScholarGoogle ScholarCross RefCross Ref
  10. You, L. L., Pollack, K. T., Long, D. D. E., and Gopinath, K. Presidio: A framework for efficient archival data storage. Trans. Storage 7, 2 (July 2011), 6:1--6:60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Zhang, Y., Liu, W., and Song, J. A novel solution of distributed file storage for cloud service. In Computer Software and Applications Conference Workshops (COMPSACW), 2012 IEEE 36th Annual (2012), pp. 26--31. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

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

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      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

      Copyright © 2017 ACM

      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].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 July 2017

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader