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Computation Offloading Algorithms in Mobile Edge Computing System: A Survey

  • Zhenyue Chen
  • , Siyao Cheng*
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

With the rapid development of the internet of things (IoT), the number of devices that can connect to the network has exploded. More computation intensive task appear on mobile terminals, and mobile edge computing has emerged. Computation offloading technology is a key technology in mobile edge computing. This survey reviews the state of the art of computation offloading algorithms. It was classified into three categories: Computation offloading algorithms in MEC system with single user, computation offloading algorithms in MEC system with multiple users, computation offloading algorithms in MEC system with enhanced MEC server. For each category of algorithms, the advantages and disadvantages were elaborated, some challenges and unsolved problems were pointed out, and the research prospects were forecasted.

Original languageEnglish
Title of host publicationData Science - 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019, Proceedings
EditorsXiaohui Cheng, Weipeng Jing, Xianhua Song, Zeguang Lu
PublisherSpringer Verlag
Pages217-225
Number of pages9
ISBN (Print)9789811501173
DOIs
StatePublished - 2019
Externally publishedYes
Event5th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2019 - Guilin, China
Duration: 20 Sep 201923 Sep 2019

Publication series

NameCommunications in Computer and Information Science
Volume1058
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2019
Country/TerritoryChina
CityGuilin
Period20/09/1923/09/19

Keywords

  • Computation offloading
  • Internet of Things
  • Mobile edge computing

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