• Dr. A. Sumithra Asst. Professor II, Dept of IT, Velammal College of Engineering &Technology, Tamil Nadu, Madurai.
  • A. Jenifer Fathima III-yr B.Tech(IT), Velammal College of Engineering &Technology, Tamil Nadu, Madurai.
  • R. Shreeni Swarna III-yr B.Tech(IT), Velammal College of Engineering &Technology, Tamil Nadu, Madurai.
  • R. Christie Nivedha III-yr B.Tech(IT), Velammal College of Engineering &Technology, Tamil Nadu, Madurai.


utility computing, sensor networks, telemedicine, cloud computing


Existing processes for patients' vital data collection require a great deal of labour work to collect, input and analyze the information. These processes are usually slow and error-prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using “sensors” attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the “cloud” from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost-effectiveness and simple integration.


I. Singh, G., O’Donoghue, J., and Soon, C. K. (2002).Telemedicine: Issues and implications. Technology Health Care,10(1):1–10.

II. Saha, D. and Mukherjee, A. (2003). Pervasive computing: Aparadigm for the 21st century. IEEE Perspectives, 36(3):25–31.

III. Rolim, C. O., Koch, F. L., Sekkaki, A., Westphall C. B., (2008) Telemedicine with Grids and Wireless Sensors Networks. In: e-Medisys'08, International Conference on e-Medical Systems, 2008, Sfax Al-Jadida. Proceedings of e-Medisys'08, International

IV. Conference on e-Medical Systems. IEEE Tunisia Section, 2008

V. Llorente. Ignacio M., Montero. Ruben S., Huedo. Eduardo, Leal. Katia, (2006). A Grid Infrastructure for Utility Computing. In Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

VI. Buyya, Rajkumar and Yeo, Chee S. and Venugopal, Srikumar (2008). Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities. In High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference

VII. Foster, Ian and Zhao, Yong and Raicu, Ioan and Lu, Shiyong (2008). Cloud Computing and Grid Computing 360-Degree Compared. In Grid Computing Environments Workshop, 2008. GCE'08

VIII. Akyildiz. I. F., Sankarasubramaniam. W. Su, Y., and Cayirci. E.,(2002) Wireless Sensor Networks: A Survey. Computer Networks, 38(4):393–422, March 2002

IX. Westphall, C. B.; Brunner, Marcus; Nogueira, José Marcos; Ulema, Mehmet. (2008) Pervasive Management for Ubiquitous Networks and Services Report on NOMS 2008. Journal of Network and Systems Management, v. 16, p. 317-321, 2008.

X. Sundararaman, K. Parthasarathi, J. Rao, S.V.R.K. Appa Rao, G.V.N. Global Technol. Office, Cognizant Technol. Solutions, Chenna (2008) Hridaya A tele-medicine initiative for cardiovascular disease through convergence of grid, Web 2.0 and SaaS. In Pervasive Computing Technologies for Healthcare, 2008. PervasiveHealth 2008.

XI. Ng, J., Lo, B., Wells, O., and Sloman, M. (2004). Ubiquitous Monitoring Environment for Wearable and Implantable Sensors (UbiMon). In Proceedings of the International Conference on Ubiquitous Computing (Ubicomp).

XII. Varshney, Upkar. (2007) Pervasive healthcare and wireless health monitoring. Mobile Networks and Applications, 2007, 2-3, volume 12

XIII. Wenxi Chen; Wei, D.; Xin Zhu; Uchida, M.; Ding, S.; Cohen, M.; (2005). A mobile phone-based wearable vital signs monitoring system. In Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on 21-23 Sept. 2005 Page(s):950 - 955

XIV. Asada, H.H.; Shaltis, P.; Reisner, A.; Sokwoo Rhee; Hutchinson, R.C.; (2003) Mobile monitoring with wearable photoplethysmographic biosensors. In Engineering in Medicine and Biology Magazine, IEEE

XV. Tr, S., As, M. and Mh, A. (2007) An ad hoc wireless sensor network for telemedicine applications. Arabian Journal for Science and Engineering, 32 Avila-Garcia, M.S.; Trefethen, A.E.; Brady, M.; Gleeson, F.; Goodman, D., (2008) "Lowering the Barriers to Cancer Imaging," eScience, 2008. eScience '08. IEEE Fourth International Conference on , vol., no., pp.63-70, 7-12 Dec. 2008

XVI. Xiao. Yunpeng,; Tao. Yang,; Li. Qian, (2008) " A New Wireless Web Access Mode Based on Cloud Computing," Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific- Asia Workshop on , vol.1, no., pp.645-649, 19-20 Dec. 2008

XVII. Hakan Erdogmus, (2009) "Cloud Computing: Does Nirvana Hide behind the Nebula?," IEEE Software, vol. 26, no. 2, pp. 4-6. Mar./Apr. 2009.

XVIII. Chu, X., Nadiminti, K., Jin, C., Venugopal, S., and Buyya, R. (2007). Aneka: Next Generation Enterprise Grid Platform for e- Science and e-Business Applications. In Proceedings of the 3rd IEEE International

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How to Cite

Dr. A. Sumithra, A. Jenifer Fathima, R. Shreeni Swarna, & R. Christie Nivedha. (2015). ASSORTMENT OF PATIENTS DATA IN HEALTHCARE SECTORS USING CLOUD COMPUTING. International Education and Research Journal (IERJ), 1(2). Retrieved from