Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network

Abdullah Lakhan , Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi , Muhammad Saddam Khokhar

    Research output: Contribution to journalArticlepeer-review

    18 Citations (Scopus)
    123 Downloads (Pure)

    Abstract

    The Internet of Medical Things (IoMT) workflow applications have been rapidly growing in practice. These internet-based applications can run on the distributed healthcare sensing system, which combines mobile computing, edge computing and cloud computing. Offloading and scheduling are the required methods in the distributed network. However, a security issue exists and it is hard to run different types of tasks (e.g., security, delay-sensitive, and delay-tolerant tasks) of IoMT applications on heterogeneous computing nodes. This work proposes a new healthcare architecture for workflow applications based on heterogeneous computing nodes layers: an application layer, management layer, and resource layer. The goal is to minimize the makespan of all applications. Based on these layers, the work proposes a secure offloading-efficient task scheduling (SEOS) algorithm framework, which includes the deadline division method, task sequencing rules, homomorphic security scheme, initial scheduling, and the variable neighbourhood searching method. The performance evaluation results show that the proposed plans outperform all existing baseline approaches for healthcare applications in terms of makespan.
    Original languageEnglish
    Article number1974
    Number of pages28
    JournalElectronics (Switzerland)
    Volume10
    Issue number16
    DOIs
    Publication statusPublished - 17 Aug 2021

    Bibliographical note

    This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Keywords

    • ethereum security
    • privacy
    • smart contract
    • rules
    • distributed
    • Privacy
    • Ethereum security
    • Distributed
    • Smart contract
    • Rules

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Hardware and Architecture
    • Computer Networks and Communications

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