Hybrid workload enabled and secure healthcare monitoring sensing framework in distributed fog-cloud network

Lakhan, A. et al. (2021) Hybrid workload enabled and secure healthcare monitoring sensing framework in distributed fog-cloud network. Electronics, 10(16), 1974. (doi: 10.3390/electronics10161974)

[img] Text
249899.pdf - Published Version
Available under License Creative Commons Attribution.

2MB

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.

Item Type:Articles
Keywords:Ethereum security, privacy, smart contract, rules, distributed.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Abbasi, Professor Qammer and Shah, Mr Syed
Creator Roles:
Shah, S. A.Writing – original draft
Abbasi, Q. H.Writing – review and editing
Authors: Lakhan, A., Mastoi, Q.-u.-a., Dootio, M. A., Alqahtani, F., R. Alzahrani, I., Baothman, F., Shah, S. Y., Shah, S. A., Anjum, N., Abbasi, Q. H., and Khokhar, M. S.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Electronics
Publisher:MDPI
ISSN:2079-9292
ISSN (Online):2079-9292
Published Online:17 August 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Electronics 10(16): 1974
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record