Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing

Mazhar Ali Dootio; Abdullah Lakhan; Ali Hassan Sodhro; Tor Morten Groenli; Narmeen Zakaria Bawany; Samrat Kumar; Mazhar Ali Dootio; Abdullah Lakhan; Ali Hassan Sodhro; Tor Morten Groenli; Narmeen Zakaria Bawany; Samrat Kumar

doi:10.3934/mbe.2022024

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 1: 513-536. doi: 10.3934/mbe.2022024

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Research article Special Issues

Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing

1.
Research Lab of AI and Information Security, Benazir Bhutto Shaheed University Lyari, Karachi, Sindh Pakistan
2.
Department of Computer Science, Kristianstad University, SE-291 88 Kristianstad, Sweden
3.
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China
4.
Kristiania University College, Department of Technology, Mobile Technology Lab, OSLO, Norway
5.
Department of Computer Science and Software Engineering, Jinnah University for Women, Pakistan
6.
Charles Sturt University, Australia

Received: 22 October 2021 Accepted: 12 November 2021 Published: 17 November 2021

These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare goals. The applications have these tasks such as online healthcare monitoring, live heartbeat streaming, and blood pressure monitoring and need a lot of resources for execution. In IIoHT, remote procedure call (RPC) mechanism-based applications have been widely designed with the network and computational delay constraints to run healthcare applications. However, there are many requirements of IIoHT applications such as security, network and computation, and failure efficient RPC with optimizing the quality of services of applications. In this study, the work devised the lightweight RPC mechanism for IIoHT applications and considered the hybrid constraints in the system. The study suggests the secure hybrid delay scheme (SHDS), which schedules all healthcare workloads under their deadlines. For the scheduling problem, the study formulated this problem based on linear integer programming, where all constraints are integer, as shown in the mathematical model. Simulation results show that the proposed SHDS scheme and lightweight RPC outperformed the hybrid for IIoHT applications and minimized 50% delays compared to existing RPC and their schemes.
- IIoHT,
- scheduling,
- hybrid delay,
- jobs,
- healthcare,
- RPC,
- fault-tolerant,
- security
Citation: Mazhar Ali Dootio, Abdullah Lakhan, Ali Hassan Sodhro, Tor Morten Groenli, Narmeen Zakaria Bawany, Samrat Kumar. Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing[J]. Mathematical Biosciences and Engineering, 2022, 19(1): 513-536. doi: 10.3934/mbe.2022024

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Abstract

These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare goals. The applications have these tasks such as online healthcare monitoring, live heartbeat streaming, and blood pressure monitoring and need a lot of resources for execution. In IIoHT, remote procedure call (RPC) mechanism-based applications have been widely designed with the network and computational delay constraints to run healthcare applications. However, there are many requirements of IIoHT applications such as security, network and computation, and failure efficient RPC with optimizing the quality of services of applications. In this study, the work devised the lightweight RPC mechanism for IIoHT applications and considered the hybrid constraints in the system. The study suggests the secure hybrid delay scheme (SHDS), which schedules all healthcare workloads under their deadlines. For the scheduling problem, the study formulated this problem based on linear integer programming, where all constraints are integer, as shown in the mathematical model. Simulation results show that the proposed SHDS scheme and lightweight RPC outperformed the hybrid for IIoHT applications and minimized 50% delays compared to existing RPC and their schemes.

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