TY  - JOUR
T1  - Task Scheduling for Task Processing Time Improvement and Its Implementation in Cluster-Based Heterogeneous Edge Computing System
AU  - Lee, Sangcheol 
AU  - Chae, Seong Ho 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.1.185
KW  - Heterogenous edge computing
KW  - Internet of things (IoT)
KW  - Task scheduling
KW  - Computer clustering
AB  - In this paper, we propose the scheduling algorithm to improvement task processing speed in a heterogeneous edge computing system, where the devices have different resource capacities and computing capabilities. The proposed algorithm addresses performance limitations by enhancing the computing capabilities of edge devices, utilizing the scheduler to construct a computing cluster. In addition, the algorithm increases task processing speed by comprehensively considering the conditions of the edge devices and the task requests, which improves the time efficiency in processing multiple tasks. Our simulation results validate the superiority of the proposed algorithm and we validate its practical feasibility via a prototype.