2025
doi: 10.12720/jait.16.10.1449-1458
A Conflict-Reduced Task-to-Host Matching Scheme for Task Offloading in Edge Computing-Enabled IoT Network
Wang Dayong1,*
,
Kamalrulnizam Bin Abu Bakar1 ,
Babangida Isyaku2 ,
Lei Liping3
- 1Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
- 2Department of Information Technology, Faculty of Computing and Information Technology, Sule Lamido University, Kafin Hausa, Nigeria
- 3School of Political Science and Public Administration, East China University of Political Science and Law, Shanghai, China
- Manuscript receivedNovember 20, 2024
- revisedJanuary 23, 2025
- acceptedFebruary 19, 2025
- publishedOctober 24, 2025
Abstract
The continuous evolution of applications and the introduction of novel service models have significantly intensified the computational demands on Internet of Things (IoT) Mobile Terminal Devices (MTDs). In order to improve service capability, edge computing-enabled IoT shifts the computational burden from MTDs to edge computing hosts through task offloading. However, current task-to-host matching approaches exhibit significant limitations, particularly in their inability to anticipate tasks that are nearing the completion of data transmission and are about to arrive at the edge computing network. This shortcoming results in matching conflicts between tasks offloaded horizontally across sites and those directly offloaded from MTDs. To address this challenge, a Two-layer Asynchronous Conflict-reduced Task-to-host Matching (TACTM) scheme is proposed. The proposed scheme jointly considers the data upload progress of tasks and the dynamic load of edge computing hosts, aiming to reduce matching conflicts while optimizing task-to-host assignment. Simulation results demonstrate that the proposed TACTM scheme outperforms existing methods by achieving a 20.79% reduction in average conflict ratio, an 8.26% decrease in average processing time, a 4.30% drop in average task failure ratio, and a 4.05% improvement in average Quality of Experience (QoE).
Keywords
- edge computing
- internet of things
- task offloading
- task-to-host matching
How to Cite
Wang Dayong, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku, and Lei Liping, "A Conflict-Reduced Task-to-Host Matching Scheme for Task Offloading in Edge Computing-Enabled IoT Network," Journal of Advances in Information Technology, vol. 16, no. 10, pp. 1449-1458, 2025. https://doi.org/10.12720/jait.16.10.1449-1458
Copyright & License
Copyright © 2025 by the authors. 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 (CC BY 4.0).
