Privacy-aware service migration for edge computing in urban cities

Xihua Liu, Lianyong Qi, Xiaolong Xu*, Xuyun Zhang, Shaohua Wan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


Currently, to satisfy the increasing demands for the computing and network resources at the edge of networks, edge computing has emerged as an efficient paradigm for real-time resource provisioning. Due to the unbalanced resource requests of mobile devices in the urban cities, the edge computing nodes (ECN) easily suffers from the underload or overload resource usage. Thus, it is of great importance to devise rational and effective service migration strategies to guarantee the overall performance of edge computing in the urban city. However, during the service migration between ECNs, the privacy information in the services is detected by the network, which may lead to the privacy leakage. To avoid privacy leakage and provide favorable computation performance including load balance as well as transmission time, it is necessary to seek appropriate service migration routes. In this paper, an optimization problem is formulated to minimize the transmission time and the load balance while protecting the privacy data during the service migration. Then, a privacy-aware service migration method, named PSM, is proposed in this paper. Finally, numerous experiments and evaluations are conducted to confirm the effectiveness and efficiency of our designed method.

Original languageEnglish
Title of host publicationCyberspace Safety and Security
Subtitle of host publication11th International Symposium, CSS 2019, Proceedings, Part I
EditorsJaideep Vaidya, Xiao Zhang, Jin Li
Place of PublicationSwitzerland
Number of pages12
ISBN (Electronic)9783030373375
ISBN (Print)9783030373368
Publication statusPublished - 2019
Externally publishedYes
Event11th International Symposium on Cyberspace Safety and Security, CSS 2019 - Guangzhou, China
Duration: 1 Dec 20193 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11982 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International Symposium on Cyberspace Safety and Security, CSS 2019


  • Edge computing
  • Load balance
  • Privacy leakage
  • Service migration
  • Transmission time


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