A balanced cloudlet management method for wireless metropolitan area networks

Xiaolong Xu, Yuhao Chen, Lianyong Qi, Jing He, Xuyun Zhang

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

1 Citation (Scopus)


With the rapid development of wireless communication technology, cloudlet-based wireless metropolitan area network, which provides people with more convenient network services, has become an effiective paradigm to meet the growing demand for requirements of wireless cloud computing. Currently, the energy consumption of cloudlets can be reduced by migrating tasks, but how to jointly optimize the time consumption and energy consumption in the process of migrations is still a significant problem. In this paper, a balanced cloudlet management method, named BCM, is proposed to address the above challenge. Technically, the Simple Additive Weighting (SAW) and Multiple Criteria Decision Making (MCDM) techniques are applied to optimize virtual machine scheduling strategy. Finally, simulation results demonstrate the effectiveness of our proposed method.
Original languageEnglish
Title of host publicationTestbeds and Research Infrastructures for the Development of Networks and Communities
Subtitle of host publication13th EAI International Conference, TridentCom 2018, Proceedings
EditorsHonghao Gao, Yuyu Yin, Xiaoxian Yang, Huaikou Miao
Place of PublicationCham
PublisherSpringer, Springer Nature
Number of pages14
ISBN (Electronic)9783030129712
ISBN (Print)9783030129705
Publication statusPublished - 2018
Externally publishedYes
Event13th EAI International Conference, TridentCom 2018 - Shanghai, China
Duration: 1 Dec 20183 Dec 2018

Publication series

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


Conference13th EAI International Conference, TridentCom 2018


  • Cloudlet
  • WMAN
  • VM migration
  • Energy consumption
  • Time consumption


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