[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Log in

A Novel Graph-Based Approach for the Management of Health Data on Cloud-Based WSANs

  • Published:
Journal of Grid Computing Aims and scope Submit manuscript

Abstract

Nowadays, healthcare applications become among the most important services that help to improve the public safety through, for example, the prevention of the propagation of some epidemic diseases from patient to another or better from a location to another. Wireless Body Area Networks (WBANs) are considered among the major sources that enable the collection of such kind of data that shares in most cases the properties of big data and that needs to be stored and managed in an efficient manner. Regarding this need, Wireless Storage Area Networks (WSANs) have been considered among the alternatives to store generated health data. Even if these infrastructures enable the storage of huge volumes of data, there are some issues related to the efficient storage and processing of health data that still not resolved and that are of interest for the research communities. In this context, this paper proposes a cloud-based WSAN approach that enables the storage and the management of health data in an efficient manner by representing the collected data and their dependencies using Temporal Conceptual Graphs (TCGs). The validity of the generated graphs is verified by the proposed graph checker that enables the localization of semantic errors in such structure to prevent some threats to be realized for stored health data and to ensure the privacy of patients. The efficiency of the proposed approach is illustrated for different defined scenarios of diseases and their associated health data represented through generated TCGs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Abdullah, W.A.N.W., Yaakob, N., Elobaid, M.E., Warip, M.N.M., Sitti, A.Y.: Energy-efficient remote healthcare monitoring using iot: a review of trends and challenges. In: Proceedings of the International Conference on Internet of Things and Cloud Computing, ICC ’16, pp. 29:1–29:8. ACM, New York (2016)

  2. AbuKhousa, E., Mohamed, N., Jameela, A.-J.: E-health cloud: opportunities and challenges. Future Internet 12(4), 621–645 (2012)

    Article  Google Scholar 

  3. Akintoye, S.B., Bagula, A.B., Djemaiel, Y., Boudriga, N.: Lightweight cloud computing for development: a graph based data model. In: Cunningham, P., Cunningham, M. (eds.) Proceedings of the 12th IST-Africa Conference, Namibia. IIMC International Information Management Corporation (2017)

  4. Aslam, M.S., Rea, S., Pesch, D.: Provisioning within a wsan cloud concept. SIGBED Rev. 10 (1), 48–53 (2013)

    Article  Google Scholar 

  5. Baier, C., Katoen, J.-P.: Principles of Model Checking (Representation and Mind Series). MIT Press, Cambridge (2008)

    MATH  Google Scholar 

  6. Berrahal, S., Boudriga, N., Bagula, A.: Cooperative Sensor-Clouds for Public Safety Services in Infrastructure-Less Areas. In: Proceedings of 22Nd Asia-Pacific Conference on Communications (APCC), Indonesia, August 25 - 27 (2016)

  7. Berrahal, S., Boudriga, N., Bagula, A.: Healthcare systems in rural areas: a cloud-sensor based approach for epidemic diseases management. In: Belqasmi, F., Glitho, R., Zennaro, M., Agueh, M. (eds.) Proceedings of the 7th EAI International Conference on e-Infrastructure and e-Services for Developing Countries (AFRICOMM), volume 171. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Springer (2015)

  8. Butca, C.G., Suciu, G., Ochian, A., Fratu, O., Halunga, S.: Wearable Sensors and Cloud Platform for Monitoring Environmental Parameters in E-Health Applications. In: Proceedings of the 11Th Nternational Symposium on Electronics and Telecommunications (ISETC), Number 1 - 4, Romania (2014)

  9. Celesti, A., Fazio, M., Romano, A., Villari, M.: Hospital Cloud-Based Archival Information System for the Efficient Management of Hl7 Big Data. In: Proceedings of the 39Th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2016), Croatia, May 30 - June 3 (2016)

  10. Chen, M., Ma, Y., Song, J., Lai, C.-F., clothing, B.H.: Smart connecting human with clouds and big data for sustainable health monitoring. Mobile Netw. Appl. 21(5), 825–845 (2016)

    Article  Google Scholar 

  11. Djemaiel, Y., Boudriga, N., Zouaidi, S.: An intrusion tolerant transaction management model for wireless storage area networks. J Netw. Technol. 4(3), 127–138 (2013)

    Google Scholar 

  12. Djemaiel, Y., Essaddi, N., graphs, N.B.: Optimizing Big Data Management Using Conceptual a Mark-Based Approach. In: Proceedings of the International Conference on Business Information Systems (BIS), pp. 1–12, Cyprus (2014)

  13. Djemaiel, Y., Fessi, B.A., Boudriga, N.: A Mark Based-Temporal Conceptual Graphs for Enhancing Big Data Management and Attack Scenario Reconstruction. In: Proceedings of the International Conference on Business Information Systems (BIS), pp. 62–73, Poland (2015)

  14. Doukas, C., Maglogiannis, I.: Managing Wearable Sensor Data through Cloud Computing. In: Proceedings of the IEEE Third International Conference on Cloud Computing Technology and Science (Cloudcom), Athens, Greece, 29 November - 1 (2011)

  15. Fazio, M., Bramanti, A., Celesti, A., Bramanti, P., Villari, M.: A Hybrid Storage Service for the Management of Big E-Health Data: A Tele-Rehabilitation Case of Study. In: Proceedings of the 12th ACM Symposium on Qos and Security for Wireless and Mobile Networks (Q2SWinet ’16), pp. 1–8, Malta, November 13 - 17 (2016)

  16. Goli-Malekabadi, Z., Sargolzaei-Javan, M., Akbari, M.K.: An effective model for store and retrieve big health data in cloud computing. Comput. Methods Programs Biomed. 132(Supplement C), 75–82 (2016)

    Article  Google Scholar 

  17. Jones, M., Kepner, J., Arcand, W., Bestor, D., Bergeron, B., Gadepally, V., Houle, M., Hubbell, M., Michaleas, P., Prout, A., Reuther, A., Samsi, S., Monticiollo, P.: Performance measurements of supercomputing and cloud storage solutions. arXiv:1708.00544 (2017)

  18. Junghanns, M., Petermann, A., Neumann, M., Rahm, E.: Management and Analysis of Big Graph Data: Current Systems and Open Challenges, chapter Handbook of Big Data Technologies, pp. 457–505. Springer, Berlin (2017)

    Google Scholar 

  19. Lee, E.: Partitioning a graph into small pieces with applications to path transversal. In: Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA ’17, pp. 1546–1558. Society for Industrial and Applied Mathematics, Philadelphia (2017)

  20. Lim, Y., Park, J.: Sensor resource sharing approaches in sensor-cloud infrastructure. Int. J. Distrib. Sens. Netw. 10(4), 476090 (2014)

    Article  Google Scholar 

  21. Fazio, A.P.M., Celesti, A., Villari, M.: Big data storage in the cloud for smart environment monitoring. In: Procedia Computer Science, editor Proceedings of the 6th International Conference on Ambient Systems, Networks and Technologies (ANT), vol. 52, pp. 500–506 (2015)

  22. Arsenio, A., Sales, N., Remedios, O.: Wireless sensor and actuator system for smart irrigation on the cloud. 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT) 00, 693–698 (2015)

    Google Scholar 

  23. Pandey, M.K., Subbiah, K.: A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud. In: Proceedings of the IEEE International Conference on Computer and Information Technology (CIT), Fiji (2016)

  24. Pantelopoulos, A., Bourbakis, N.G.: A survey on wearable sensor-based systems for health monitoring and prognosis. Trans. Sys., Man Cyber Part C 40(1), 1–12 (2010)

    Article  Google Scholar 

  25. Robinson, I., Webber, J., Eifrem, E.: Graph Databases: New Opportunities for Connected Data. O’Reilly Media, Inc., Sebastopol (2015)

    Google Scholar 

  26. Strohbach, M., Daubert, J., Ravkin, H., Lischka, M.: New Horizons for a Data-Driven Economy, chapter Big Data Storage, pp. 119–141. Springer, Berlin (2016)

    Book  Google Scholar 

  27. Viangteeravat, T., Anyanwu, M.N., Nagisetty, V.R., Kuscu, E., Sakauye, M.E., Duojiao, W.: Clinical data integration of distributed data sources using health level seven (hl7) v3-rim mapping. J. Clin. Bioinf. 1(1), 32 (2011)

    Article  Google Scholar 

  28. Vilaplana, J., Solsona, F., Abella, F., Filgueira, R., Torrento, J.R.: The cloud paradigm applied to e-health. BMC Med. Inf. & Decision Making 13, 35 (2013)

    Article  Google Scholar 

  29. Wei-Qi, W., Denny, J.C.: Extracting research-quality phenotypes from electronic health records to support precision medicine. Genome Med. 7(1), 1–14 (2015)

    Article  Google Scholar 

  30. Wullianallur, R., Raghupathi, V.: Big data analytics in healthcare: Promise and potential. Health Inform. Sci. Syst. 2(3), 1–10 (2014)

    Google Scholar 

  31. Yoon, B.-H., Kim, S.-K., Kim, S.-Y.: Use of graph database for the integration of heterogeneous biological data. Genome Inform. 15(1), 19–27 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yacine Djemaiel.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Djemaiel, Y., Berrahal, S. & Boudriga, N. A Novel Graph-Based Approach for the Management of Health Data on Cloud-Based WSANs. J Grid Computing 16, 317–344 (2018). https://doi.org/10.1007/s10723-018-9438-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10723-018-9438-2

Keywords

Navigation