Hadoop and MapReduce technology as a solution for Wireless Body Area Networks in e-Health-Reference-Cited by-同舟云学术

Hadoop and MapReduce technology as a solution for Wireless Body Area Networks in e-Health

Published:2017 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems - ICCWCS'17
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Author:

Khourdifi Youness¹,Bahaj Mohamed¹

Affiliation:

1. LITENN Laboratory FST of Settat, University of Hassan 1st, Morocco

Publisher

ACM Press

Reference21 articles.

1. A. Katal, M. Wazid, and R. H. Goudar, "Big data: Issues, challenges, tools and Good practices", Sixth International Conference Contemporary Computing (IC3), DOI: 10.1109/IC3.2013.6612229, August 2013.

2. Auffray C, Balling R, Barroso I, Bencze L, Benson M, Bergeron J, et al. Making sense of big data in health research: towards an EU action plan. Genome Med. 8(1):71, 2016.

3. E.K. Park and W. Liu, "e-Healthcare Cloud Computing Application Solutions", IEEE ICNC 2013, International Conference on Computing, Networking and Communications, San Diego, CA, 2013.

4. Ma D, Zhang W X. Analytic propagation model for wireless body-area networks[J]. Antennas and Propagation, IEEE Transactions on, 2011, 59(12): 4749--4756.

5. Mahmud S A, Khan S, Al-Raweshidy H S. Capacity Analysis of High Data Rate Wireless Personal Area Networks[C]//Communication Networks and Services Research Conference, 2008. CNSR 2008. 6th Annual. IEEE, pp. 125131, 2008.

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