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Microservices enabled bidirectional fault-tolerance scheme for healthcare internet of things

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Abstract

An immense volume of data is generated in smart health environments which can be managed through fog computing. Fog computing provides computing and storage services closer to the end user, making it an essential application for Healthcare Internet of Things (HIoT) devices. In HIoT, tasks such as Cardiovascular Health Monitoring (CHM) which are highly sensitive to delays and failures and data are scheduled and managed by fog nodes. Timely detection and intervention in CHM are crucial during emergencies, such as suspected heart attacks, where rapid processing of physiological data and prompt triggering of alarms or notifications can save lives. A microservices-based approach is proposed in this study combining fog and cloud services. The proposed Two-Phase Fault Tolerant (TPFT) strategy for HIoT data management schedules and manages HIoT tasks on fog nodes in the first phase, while in the second phase, it implements a bidirectional fault-tolerant mechanism, covering task-aware fault tolerance and node-aware fault tolerance. Comparing the performance of TPFT with recent benchmarks, simulation results demonstrate that the proposed approach outperforms in terms latency, probability of failure rate, recovery time after failure, and extra resource utilization.

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Data availibility

The datasets generated during and/or analysed during the current study are not publicly available but are available from the corresponding author on a reasonable request.

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Funding

The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large Groups. (Project under grant number (RGP2/235/44).

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Authors and Affiliations

  1. Department of Information Systems, College of Computer Science, King Khalid University, Abha, Saudi Arabia

    Mohammed Maray

  2. Department of Computer Science, Comsats University Islamabad, Abbottabad Campus, Islamabad, 22060, Pakistan

    Sahibzada Muhammad Rizwan & Ehzaz Mustafa

  3. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia

    Junaid Shuja

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  1. Mohammed Maray
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by [MM], [SMR] and [EM]. The first draft of the manuscript was written by [SMR], [MM] , and [JS] all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Junaid Shuja.

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Maray, M., Rizwan, S.M., Mustafa, E. et al. Microservices enabled bidirectional fault-tolerance scheme for healthcare internet of things. Cluster Comput 27, 4621–4633 (2024). https://doi.org/10.1007/s10586-023-04192-7

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