@article{ART003063586},
author={Yunha Choi and Byungchul Tak},
title={Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={3},
pages={107-116},
doi={10.9708/jksci.2024.29.03.107}
TY - JOUR
AU - Yunha Choi
AU - Byungchul Tak
TI - Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 3
PB - The Korean Society Of Computer And Information
SP - 107
EP - 116
SN - 1598-849X
AB - In this paper, we analyze the performance of MicroVM when running AI applications on an edge computing environment and whether it can replace current container technology and traditional virtual machines. To achieve this, we set up Docker container, Firecracker MicroVM and KVM virtual machine environments on a Raspberry Pi 4 and executed representative AI applications in each environment. We analyze the inference time, total CPU usage and trends over time and file I/O performance on each environment. The results show that there is no significant performance difference between MicroVM and container when running AI applications. Moreover, on average, a stable inference time over multiple trials was observed on MicroVM. Therefore, we can confirm that executing AI applications using MicroVM instead of container or heavy-weight virtual machine is suitable for an edge computing.
KW - IoT;MicroVM;Firecracker;Edge Computing;AI
DO - 10.9708/jksci.2024.29.03.107
ER -
Yunha Choi and Byungchul Tak. (2024). Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing. Journal of The Korea Society of Computer and Information, 29(3), 107-116.
Yunha Choi and Byungchul Tak. 2024, "Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing", Journal of The Korea Society of Computer and Information, vol.29, no.3 pp.107-116. Available from: doi:10.9708/jksci.2024.29.03.107
Yunha Choi, Byungchul Tak "Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing" Journal of The Korea Society of Computer and Information 29.3 pp.107-116 (2024) : 107.
Yunha Choi, Byungchul Tak. Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing. 2024; 29(3), 107-116. Available from: doi:10.9708/jksci.2024.29.03.107
Yunha Choi and Byungchul Tak. "Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing" Journal of The Korea Society of Computer and Information 29, no.3 (2024) : 107-116.doi: 10.9708/jksci.2024.29.03.107
Yunha Choi; Byungchul Tak. Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing. Journal of The Korea Society of Computer and Information, 29(3), 107-116. doi: 10.9708/jksci.2024.29.03.107
Yunha Choi; Byungchul Tak. Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing. Journal of The Korea Society of Computer and Information. 2024; 29(3) 107-116. doi: 10.9708/jksci.2024.29.03.107
Yunha Choi, Byungchul Tak. Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing. 2024; 29(3), 107-116. Available from: doi:10.9708/jksci.2024.29.03.107
Yunha Choi and Byungchul Tak. "Performance Analysis to Evaluate the Suitability of MicroVM with AI Applications for Edge Computing" Journal of The Korea Society of Computer and Information 29, no.3 (2024) : 107-116.doi: 10.9708/jksci.2024.29.03.107
