Load-aware edge server placement for mobile edge computing in 5G networks

Xiaolong Xu, Yuan Xue, Lianyong Qi*, Xuyun Zhang, Shaohua Wan, Wanchun Dou, Victor Chang

*Corresponding author for this work

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

Abstract

Edge computing is a promising technique for 5G networks to collect a wide range of environmental information from mobile devices and return real-time feedbacks to the mobile users. Generally, the edge servers (ESs) are both contributing in macro-base station (MABS) sites for large-scale resource provisioning and micro-base station (MIBS) sites for light-weighted resource response. However, to lower the investment of construing the edge computing systems in the MIBS sites, limited number of ESs are employed, since there is an intensive distribution of MIBSs in 5G networks. Thus, it remains challenging to guarantee the execution efficiency of the edge services and the overall performance of the edge computing systems with limited ESs. In view of this challenge, a load-aware edge server placement method, named LESP, is devised for mobile edge computing in 5G networks. Technically, a decision tree is constructed to identify the MIBSs served by a definite ES and confirm the data transmission routes across MIBSs. Then, the non-dominated sorting genetic algorithm II (NSGA-II) is employed to obtain the balanced ES placement strategies. Furthermore, simple additive weighting (SAW) and multiple criteria decision making (MCDM) techniques are leveraged to recognize the optimal ES placement strategy. Finally, the experimental evaluations are implemented and the observed simulation results verify the efficiency and effectiveness of LESP.

Original languageEnglish
Title of host publicationService-Oriented Computing
Subtitle of host publication17th International Conference, ICSOC 2019, Proceedings
EditorsSami Yangui, Ismael Bouassida Rodriguez, Khalil Drira, Zahir Tari
Place of PublicationSwitzerland
PublisherSpringer
Pages494-507
Number of pages14
ISBN (Electronic)9783030337025
ISBN (Print)9783030337018
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event17th International Conference on Service-Oriented Computing, ICSOC 2019 - Toulouse, France
Duration: 28 Oct 201931 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11895 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Service-Oriented Computing, ICSOC 2019
CountryFrance
CityToulouse
Period28/10/1931/10/19

Keywords

  • 5G networks
  • Edge computing
  • Edge server placement

Fingerprint Dive into the research topics of 'Load-aware edge server placement for mobile edge computing in 5G networks'. Together they form a unique fingerprint.

  • Cite this

    Xu, X., Xue, Y., Qi, L., Zhang, X., Wan, S., Dou, W., & Chang, V. (2019). Load-aware edge server placement for mobile edge computing in 5G networks. In S. Yangui, I. Bouassida Rodriguez, K. Drira, & Z. Tari (Eds.), Service-Oriented Computing: 17th International Conference, ICSOC 2019, Proceedings (pp. 494-507). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11895 LNCS). Switzerland: Springer. https://doi.org/10.1007/978-3-030-33702-5_38