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IoT Cloud Platform Based on Asynchronous Processing for Reliable Multi-user Health Monitoring

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Book cover Complex, Intelligent, and Software Intensive Systems (CISIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 993))

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Abstract

Internet of Things (IoT) implementation has spread to various fields, including healthcare. Personal healthcare device such as ECG senses very sensitive voltage from heart and stream the data in high speed to the IoT platform. Data from ECG can be used for many disease diagnoses, including Arrhythmia and sleep disorder. In order to obtain the optimum diagnosis result, IoT platform for healthcare should be able to handle very rapid data stream from users or devices simultaneously and keep the successful connections at a high rate. In this paper, an IoT architecture for healthcare implementing asynchronous processing is proposed. Asynchronous process allows the system to process the data outside the main loop of process. The proposed system measures HTTP successful connections and analytics accuracy. By implementing asynchronous processing, the system can increase the successful HTTP connection up to 50% for 100 users testing scenario compared to the benchmark system. The increase of successful connections improves the analytics accuracy to 98.41%.

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Acknowledgments

This work is supported by the Directorate General of Strengthening for Research and Development, Ministry of Research, Technology, and Higher Education, Republic of Indonesia as a part of Penelitian Terapan Unggulan Perguruan Tinggi Research Grant to Binus University entitled “Prototipe dan Aplikasi Monitoring Kualitas Tidur Portabel berbasis Teknologi Cloud Computing dan Machine Learning” or “Portable Sleep Quality Monitoring Prototype and Application based on Cloud Computing Technology and Machine Learning” with contract number: 039/VR.RTT/IV/2019 and contract date: 29 April 2019.

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Authors and Affiliations

  1. Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, 11480, Indonesia

    Nur Hakim Arif & Nico Surantha

Authors
  1. Nur Hakim Arif
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  2. Nico Surantha
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Corresponding author

Correspondence to Nico Surantha .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Leonard Barolli

  2. School of Software, University of Technology Sydney (UTS), Ultimo, NSW, Australia

    Farookh Khadeer Hussain

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Makoto Ikeda

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Arif, N.H., Surantha, N. (2020). IoT Cloud Platform Based on Asynchronous Processing for Reliable Multi-user Health Monitoring. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_29

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