A Novel Load Balancing Scheme for Mobile Edge Computing

TL;DR

This paper introduces a three-layer hybrid P2P model for Mobile Edge Computing that enhances load balancing, scalability, and stability, thereby improving service efficiency for mobile devices with low latency.

Contribution

It proposes a novel three-layer MHP2P model and a load balancing scheme tailored for MEC systems, addressing scalability and performance challenges.

Findings

The scheme improves load distribution across MEC servers.

Simulation results show enhanced system stability and efficiency.

The model supports scalable and low-latency services for mobile devices.

Abstract

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 merging 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.