In recent years, scholarly research on the use of new technology in healthcare has intensified. Some of the main challenges identified in the literature include the integration of dissimilar signaling systems, network barriers such as bandwidth allocation, battery life in wireless devices, the security and privacy protection associated with data transmission using public network and the user friendliness of the systems, among others. The aim of this paper is to address some of the above concerns by introducing a secure, multiplatform network system capable of providing the dynamic bandwidth allocation required for today’s home healthcare services. It incorporates a user friendly interface by introducing a unique instrument integrated with the community cloud arrangement to provide a more robust system to address the needs of multiple stakeholders.


Cloud Computing MPLS ICT RFID Virtualization Smart Sensors Network Capable Application Processor 


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  1. 1.
    Foster, I., Zhao, Y., Raicu, I., Lu, S.: Cloud Computing and Grid Computing 360-Degree Compared. In: IEEE Grid Computing Environments (GCE 2008), pp. 1–10 (2008)Google Scholar
  2. 2.
    Zhang, Z., Zhang, X.: Realization of Open cloud Computing Federation Based on Mobile Agent. In: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 642–646 (2009)Google Scholar
  3. 3.
    Mell, P., Grance, T.: The NIST Definition of Cloud Computing (2009),
  4. 4.
    Yan, S., An, G.H.: Software Engineering Meets Services and Cloud Computing. IEEE Computer Society (October 2011)Google Scholar
  5. 5.
    Gong, C., Liu, J., Zhang, Q., Chen, H., Gong, Z.: The Characteristics of Cloud Computing. In: IEEE 39th International Conference on Parallel Processing Workshops, pp. 275–279 (2010)Google Scholar
  6. 6.
    Coyte, C.P., McKeever, P.: Home Care in Canada: Passing the Buck. Canadian Journal of Nursing Research 33(2), 11–25 (2001)Google Scholar
  7. 7.
    Tarricone, R., Tsouros, D.A.: Home Care in Europe. The World Health Organization Publication, Milan (2008)Google Scholar
  8. 8.
    Carson, E.R., Cramp, D.G., Hicks, R.W.: Hospital without walls. Computer Methods Program in Biomedicine 64, 153–242 (2001)CrossRefGoogle Scholar
  9. 9.
    Cramp, D.G., Carson, E.R.: A model-based framework for assessing the value of ICT-driven healthcare deliver. Health Informatic Journal 7, 90–95 (2001)CrossRefGoogle Scholar
  10. 10.
    NIST, Brief Description of the Family of IEEE 1451 Standards (2009),; See also: IEEE 1451 Family of Smart Transducer Interface Standards,
  11. 11.
    O’Gradya, L., Wathenb, C.N., Charnaw-Burgerc, J., Betel, L., Shachakc, A., Luked, R., Hockemac, S., Jadadc, A.R.: The use of tags and tag clouds to discern credible content in online health message forums. International Journal of Medical Informatics 81, 36–44 (2012)CrossRefGoogle Scholar
  12. 12.
    Schoen, C., Osborn, R., How, S., Michelle, M.D., Peugh, J.: In Chronic Condition: Experiences of Patients With Complex Health Care Needs, in Eight Countries. Health Affairs 28(1), 1–16 (2009)CrossRefGoogle Scholar
  13. 13.
    Kaplan, B.: Evaluating informatics applications—clinical decision support systems literature review. International Journal of Medical Informatics 64, 15–37 (2001)CrossRefGoogle Scholar
  14. 14.
    Josyula, V., Orr, M., Page, G.: Cloud Computing: Automating the Virtualized Data Center. Cisco Press, Indianapolis (2012)Google Scholar
  15. 15.
    Autenrieth, A.: Engineering end-to-end IP resilience using resilience-differentiated QoS. IEEE Communications Magazine 40(10), 50–57 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Farid Shirazi
    • 1
  1. 1.Ted Rogers School of ManagementRyerson UniversityTorontoCanada

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