A novel load balancing scheme for mobile edge computing

Zhenhua Duan, Cong Tian, Nan Zhang, Mengchu Zhou, Bin Yu, Xiaobing Wang, Jiangen Guo, Ying Wu

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


To overcome long propagation delays for data exchange between the remote cloud data center and end devices in Mobile Cloud Computing (MCC), Mobile Edge Computing (MEC) is emerging to push mobile computing, network control and storage to the network edges. A cloudlet in MEC is a mobility-enhanced small-scale cloud, which contains several MEC servers located in close proximity to mobile devices. The main purpose of a cloudlet is to stably provide services to mobile devices with low latency. When a cloudlet offers hundreds kinds of services to millions of mobile devices, it is critical to balance the loads so as to improve performance. In this paper, we propose a three-layer mobile hybrid hierarchical P2P (MHP2P) model as a cloudlet. MHP2P performs satisfactory service lookup efficiency and system scalability as well as high stability. More importantly, a load balance scheme is provided so that the loads of MHP2P can be well balanced with the increasing of MEC servers and query load. A large number of simulation experiments indicate that the proposed scheme is efficient for enhancing the load balancing performance in MHP2P based MEC systems.

Original languageEnglish (US)
Article number111195
JournalJournal of Systems and Software
StatePublished - Apr 2022

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture


  • Cloudlet
  • Load balance
  • MHP2P
  • Mobile edge computing


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