QoS-Aware Service Migration in Edge Cloud Networks

Jaewook Lee, Joonwoo Kim, Yujin Tae, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658079
DOIs
Publication statusPublished - 2018 Nov 28
Event2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of
Duration: 2018 Jun 242018 Jun 26

Other

Other2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
CountryKorea, Republic of
CityJeJu
Period18/6/2418/6/26

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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

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] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-ASIA.2018.8552103