TY - GEN
T1 - QoS-Aware Service Migration in Edge Cloud Networks
AU - Lee, Jaewook
AU - Kim, Joonwoo
AU - Tae, Yujin
AU - Pack, Sangheon
N1 - Funding Information:
This research was supported in part by Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (2017M3C4A7065980) and in part by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742)
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
T3 - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
BT - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Y2 - 24 June 2018 through 26 June 2018
ER -