TY - GEN
T1 - VM Migration Considering Downtime for Accuracy Improvement in Multi-stage Information Processing System
AU - Nakane, Kazutoshi
AU - Anjiki, Takumi
AU - Xie, Jiquan
AU - Fukushima, Yukinobu
AU - Murase, Tutomu
N1 - Funding Information:
In part of this work is supported through Grants-in-aid for Scientific Research (19H04093)(20H00592)(21H03424) and ROIS NII Open Collaborative Research under Grant 2020- 20S1202 and Grant 2021-21S1203.
Funding Information:
ACKNOWLEDGMENT In part of this work is supported through Grants-in-aid for Scientific Research (19H04093)(20H00592)(21H03424) and ROIS NII Open Collaborative Research under Grant 2020-20S1202 and Grant 2021-21S1203.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we propose a VM migration method that improves the accuracy in edge nodes of multi-stage information processing system even when the VM migration downtime is large. The previous method only performs well with short VM migration times. In contrast to previous studies, we place VMs to make a large contribution to improving accuracy by considering the system load degree and the characteristics of the tasks generated by each VM. The evaluation results show that the proposed method improves the accuracy by about 68% compared to the conventional method when the number of VMs is 25.
AB - In this paper, we propose a VM migration method that improves the accuracy in edge nodes of multi-stage information processing system even when the VM migration downtime is large. The previous method only performs well with short VM migration times. In contrast to previous studies, we place VMs to make a large contribution to improving accuracy by considering the system load degree and the characteristics of the tasks generated by each VM. The evaluation results show that the proposed method improves the accuracy by about 68% compared to the conventional method when the number of VMs is 25.
UR - http://www.scopus.com/inward/record.url?scp=85138723178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138723178&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Taiwan55306.2022.9869040
DO - 10.1109/ICCE-Taiwan55306.2022.9869040
M3 - Conference contribution
AN - SCOPUS:85138723178
T3 - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
SP - 335
EP - 336
BT - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Y2 - 6 July 2022 through 8 July 2022
ER -
