@article{ART003263307},
author={Jae-Hyeok Yang and Sang-Ho Lim},
title={A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories},
journal={Industry Promotion Research},
issn={2466-1139},
year={2025},
volume={10},
number={4},
pages={203-214},
doi={10.21186/IPR.2025.10.4.203}
TY - JOUR
AU - Jae-Hyeok Yang
AU - Sang-Ho Lim
TI - A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories
JO - Industry Promotion Research
PY - 2025
VL - 10
IS - 4
PB - Industrial Promotion Institute
SP - 203
EP - 214
SN - 2466-1139
AB - This study aims to propose an optimal data processing architecture by quantitatively comparing the efficiency of edge computing and cloud computing in handling big data generated in smart factories. To achieve this, an Industrial IoT–based simulation environment was constructed, and the two architectures were evaluated using five metrics: response time, CPU utilization, network traffic, energy consumption, and operational cost. The results show that edge computing processes data directly at the point of generation, offering the fastest response time (average 92.7 ms) and reducing network traffic by 78%, making it suitable for real-time control. In contrast, cloud computing demonstrates strengths in scalability and analytical capability but shows limitations due to increased latency (average 384.5 ms) and heavy reliance on network connectivity. The hybrid architecture—performing primary preprocessing at the edge and further analysis in the cloud—provides the most balanced performance in terms of both efficiency and cost. The study presents design guidelines for selecting the appropriate data processing location based on data characteristics (real-time control → edge, long-term analytics → cloud, mixed workloads → hybrid) and suggests the need for future research on real-world field experiments and the development of intelligent offloading models.
KW - Smart Factory;Edge;Cloud;Computing;Big Data
DO - 10.21186/IPR.2025.10.4.203
ER -
Jae-Hyeok Yang and Sang-Ho Lim. (2025). A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories. Industry Promotion Research, 10(4), 203-214.
Jae-Hyeok Yang and Sang-Ho Lim. 2025, "A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories", Industry Promotion Research, vol.10, no.4 pp.203-214. Available from: doi:10.21186/IPR.2025.10.4.203
Jae-Hyeok Yang, Sang-Ho Lim "A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories" Industry Promotion Research 10.4 pp.203-214 (2025) : 203.
Jae-Hyeok Yang, Sang-Ho Lim. A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories. 2025; 10(4), 203-214. Available from: doi:10.21186/IPR.2025.10.4.203
Jae-Hyeok Yang and Sang-Ho Lim. "A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories" Industry Promotion Research 10, no.4 (2025) : 203-214.doi: 10.21186/IPR.2025.10.4.203
Jae-Hyeok Yang; Sang-Ho Lim. A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories. Industry Promotion Research, 10(4), 203-214. doi: 10.21186/IPR.2025.10.4.203
Jae-Hyeok Yang; Sang-Ho Lim. A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories. Industry Promotion Research. 2025; 10(4) 203-214. doi: 10.21186/IPR.2025.10.4.203
Jae-Hyeok Yang, Sang-Ho Lim. A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories. 2025; 10(4), 203-214. Available from: doi:10.21186/IPR.2025.10.4.203
Jae-Hyeok Yang and Sang-Ho Lim. "A Comparative Study on Big Data Processing between Edge Computing and Cloud Computing in Smart Factories" Industry Promotion Research 10, no.4 (2025) : 203-214.doi: 10.21186/IPR.2025.10.4.203
