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Big Data Analytics of IoT-Based Cloud System Framework: Smart Healthcare Monitoring Systems

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Artificial Intelligence for Cloud and Edge Computing

Part of the book series: Internet of Things ((ITTCC))

Abstract

The field of the Internet of Things (IoT) is continuing in a fashion that will transform the complete landscape of future Internet, and the devices have increased in recent years by providing opportunities into new domains for automation and integration of real-world objects. IoT-based cloud systems have been used, and there is a growing interest in IoT-enabled smart devices to generate big volumes of data, as mass production. Hence, there is a need for an integrated IoT-cloud-based big data analytics (BDA) framework to increase the performance of IoT-based device utilizations. Therefore, this paper presents a BDA IoT-based cloud system storage for real-time data generated from IoT sensors and analysis of the stored data from the smart devices. The framework will be tested using a big data Cloudera platform for database storage, and Python will be used for the system design. The applicability of the framework is tested in real-time analysis of healthcare monitoring of patients’ data for automatic managing of body temperature, blood glucose, and blood pressure. The integration of the system shows improvement in patients’ health monitoring situations. The system alerts the physicians and medical experts to advise in real-time about the changing of the health condition of patients to suggest preventive measures in saving lives.

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Authors and Affiliations

  1. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde, Rasheed Gbenga Jimoh & Oluwakemi Christiana Abikoye

  2. Department of Computer Science, Landmark University, Omu Aran, Nigeria

    Roseline Oluwaseun Ogundokun

  3. Department of Computer Science and Communication, Ostfold University College, Halden, Norway

    Sanjay Misra

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  1. Joseph Bamidele Awotunde
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  2. Rasheed Gbenga Jimoh
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  4. Sanjay Misra
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  5. Oluwakemi Christiana Abikoye
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Correspondence to Joseph Bamidele Awotunde .

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Editors and Affiliations

  1. Department of Computer Science and Communication, Ostfold University College, Halden, Norway

    Sanjay Misra

  2. School of Computer Science and Engineering, Vellore Institute of Technology, Tamil Nandu, India

    Amit Kumar Tyagi

  3. Dipartimento di Informatica, Universita' degli Studi di Milano, Milano, Italy

    Vincenzo Piuri

  4. Faculty of Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

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Awotunde, J.B., Jimoh, R.G., Ogundokun, R.O., Misra, S., Abikoye, O.C. (2022). Big Data Analytics of IoT-Based Cloud System Framework: Smart Healthcare Monitoring Systems. In: Misra, S., Kumar Tyagi, A., Piuri, V., Garg, L. (eds) Artificial Intelligence for Cloud and Edge Computing. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-80821-1_9

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