Load-aware computation offloading with privacy preservation for 5g networks in edge computing

Xiaolong Xu, Xihua Liu, Xuyun Zhang, Lianyong Qi, Yuan Yuan*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Nowadays, with the advances in wireless communication, the mobile devices are becoming important due to various applications which provide mobile users with plentiful services in the devices. The mobile devices can hardly complete all the computing tasks as they have limitations on the battery capacity, physical size, etc. In order to release these limitations, in the fifth generation (5G), the computing tasks can be offloaded from the mobile devices to the central units (CUs) which are enhanced into edge nodes (ENs) for processing. However, it is still a problem to select the appropriate offloading destination, aiming to improve the load balance for all the ENs. In this paper, we first formulate an optimization problem to improve the load balance of all the ENs for 5G networks in edge computing, considering the time consumption and the privacy conflicts. Then, a load-aware computation offloading method with privacy preservation, named LCOP, is designed. Finally, experimental results and evaluations validate our proposed method is both effective and feasible.

Original languageEnglish
Title of host publicationMobile Computing, Applications, and Services
Subtitle of host publication10th EAI International Conference, MobiCASE 2019, Proceedings
EditorsYuyu Yin, Ying Li, Honghao Gao, Jilin Zhang
PublisherSpringer
Pages171-183
Number of pages13
ISBN (Electronic)9783030284688
ISBN (Print)9783030284671
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event10th EAI International Conference on Mobile Computing, Applications, and Services, MobiCASE 2019 - Hangzhou, China
Duration: 14 Jun 201915 Jun 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume290
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference10th EAI International Conference on Mobile Computing, Applications, and Services, MobiCASE 2019
CountryChina
CityHangzhou
Period14/06/1915/06/19

Keywords

  • 5G
  • Edge nodes
  • Load balance
  • Mobile devices
  • Privacy conflicts

Fingerprint Dive into the research topics of 'Load-aware computation offloading with privacy preservation for 5g networks in edge computing'. Together they form a unique fingerprint.

Cite this