Abstract
Recently, the edge cloud computing has gained a wide attention, because its proximity to users can provide low latency services and reduce network traffics volumes. However, the performance of edge cloud is highly affected by user's mobility. Therefore, to prevent the performance degradation, we propose QoS aware service migration scheme in edge-central cloud network, where the optimal target server is selected and service migration is conducted with the consideration of service migration and network cost, QoS and resource utilization in server. To select the optimal target server, we formulate a Markov decision process (MDP). Evaluation results demonstrate that the proposed scheme can reduce migration cost and network traffic while required QoS in terms of latency is guaranteed.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538658079 |
| DOIs | |
| Publication status | Published - 2018 Nov 28 |
| Event | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of Duration: 2018 Jun 24 → 2018 Jun 26 |
Other
| Other | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 |
|---|---|
| Country | Korea, Republic of |
| City | JeJu |
| Period | 18/6/24 → 18/6/26 |
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Keywords
- Edge Computing
- Mobility
- QoS
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
Cite this
QoS-Aware Service Migration in Edge Cloud Networks. / Lee, Jaewook; Kim, Joonwoo; Tae, Yujin; Pack, Sangheon.
2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8552103.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - QoS-Aware Service Migration in Edge Cloud Networks
AU - Lee, Jaewook
AU - Kim, Joonwoo
AU - Tae, Yujin
AU - Pack, Sangheon
PY - 2018/11/28
Y1 - 2018/11/28
N2 - Recently, the edge cloud computing has gained a wide attention, because its proximity to users can provide low latency services and reduce network traffics volumes. However, the performance of edge cloud is highly affected by user's mobility. Therefore, to prevent the performance degradation, we propose QoS aware service migration scheme in edge-central cloud network, where the optimal target server is selected and service migration is conducted with the consideration of service migration and network cost, QoS and resource utilization in server. To select the optimal target server, we formulate a Markov decision process (MDP). Evaluation results demonstrate that the proposed scheme can reduce migration cost and network traffic while required QoS in terms of latency is guaranteed.
AB - Recently, the edge cloud computing has gained a wide attention, because its proximity to users can provide low latency services and reduce network traffics volumes. However, the performance of edge cloud is highly affected by user's mobility. Therefore, to prevent the performance degradation, we propose QoS aware service migration scheme in edge-central cloud network, where the optimal target server is selected and service migration is conducted with the consideration of service migration and network cost, QoS and resource utilization in server. To select the optimal target server, we formulate a Markov decision process (MDP). Evaluation results demonstrate that the proposed scheme can reduce migration cost and network traffic while required QoS in terms of latency is guaranteed.
KW - Edge Computing
KW - Mobility
KW - QoS
UR - http://www.scopus.com/inward/record.url?scp=85060045639&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060045639&partnerID=8YFLogxK
U2 - 10.1109/ICCE-ASIA.2018.8552103
DO - 10.1109/ICCE-ASIA.2018.8552103
M3 - Conference contribution
AN - SCOPUS:85060045639
BT - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -