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IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data

IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data

Abdelhak Kharbouch, Youssef Naitmalek, Hamza Elkhoukhi, Mohamed Bakhouya, Vincenzo De Florio, Moulay Driss El Ouadghiri, Steven Latre, Chris Blondia
Copyright: © 2019 |Volume: 10 |Issue: 4 |Pages: 14
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781522566878|DOI: 10.4018/IJDST.2019100102
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MLA

Kharbouch, Abdelhak, et al. "IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data." IJDST vol.10, no.4 2019: pp.17-30. http://doi.org/10.4018/IJDST.2019100102

APA

Kharbouch, A., Naitmalek, Y., Elkhoukhi, H., Bakhouya, M., De Florio, V., El Ouadghiri, M. D., Latre, S., & Blondia, C. (2019). IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data. International Journal of Distributed Systems and Technologies (IJDST), 10(4), 17-30. http://doi.org/10.4018/IJDST.2019100102

Chicago

Kharbouch, Abdelhak, et al. "IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data," International Journal of Distributed Systems and Technologies (IJDST) 10, no.4: 17-30. http://doi.org/10.4018/IJDST.2019100102

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Abstract

Recent advances in pervasive technologies, such as wireless, ad hoc networks, and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as the Internet of Things (IoT). The IoT is seen as an enabler to the development of intelligent and context-aware services and applications. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and processing platform. Big data technologies and data analytics have been recently proposed for timely analyzing information (i.e., data, events) streams. The main aim is to make users' life more comfortable according to their locations, current requirements, and ongoing activities. In this article, combining IoT techniques and Big data technologies into a holistic platform for continuous and real-time health-care data monitoring and processing is introduced. Real-testing experiments have been conducted and results are reported to show the usefulness of this platform in a real-case scenario.

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