QoS-Aware Service Migration in Edge Cloud Networks

Jaewook Lee; Joonwoo Kim; Yujin Tae; Sangheon Pack

doi:10.1109/ICCE-ASIA.2018.8552103

QoS-Aware Service Migration in Edge Cloud Networks

Jaewook Lee, Joonwoo Kim, Yujin Tae, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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	https://doi.org/10.1109/ICCE-ASIA.2018.8552103
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

Publication series

Name	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Other

Other	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/Territory	Korea, Republic of
City	JeJu
Period	18/6/24 → 18/6/26

Bibliographical note

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)

Publisher Copyright:
© 2018 IEEE.

Keywords

Edge Computing
Mobility
QoS

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICCE-ASIA.2018.8552103

Cite this

Lee, J., Kim, J., Tae, Y., & Pack, S. (2018). QoS-Aware Service Migration in Edge Cloud Networks. In 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 Article 8552103 (2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-ASIA.2018.8552103

QoS-Aware Service Migration in Edge Cloud Networks. / Lee, Jaewook; Kim, Joonwoo; Tae, Yujin et al.
2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8552103 (2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, J, Kim, J, Tae, Y & Pack, S 2018, QoS-Aware Service Migration in Edge Cloud Networks. in 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018., 8552103, 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, JeJu, Korea, Republic of, 18/6/24. https://doi.org/10.1109/ICCE-ASIA.2018.8552103

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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.",

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note = "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) Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 ; Conference date: 24-06-2018 Through 26-06-2018",

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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.

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QoS-Aware Service Migration in Edge Cloud Networks

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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