Research Article
A Load Balancing-Based Real-Time Traffic Redirection Method for Edge Networks
@INPROCEEDINGS{10.1007/978-3-030-72792-5_4, author={Chuan Liu and Shidong Liu and Ningzhe Xing and Shen Jin and Yutong Ji and Ning Zhang and Jia Tang}, title={A Load Balancing-Based Real-Time Traffic Redirection Method for Edge Networks}, proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I}, proceedings_a={SIMUTOOLS}, year={2021}, month={4}, keywords={Load balancing Edge computing OpenFlow Redirection}, doi={10.1007/978-3-030-72792-5_4} }- Chuan Liu
Shidong Liu
Ningzhe Xing
Shen Jin
Yutong Ji
Ning Zhang
Jia Tang
Year: 2021
A Load Balancing-Based Real-Time Traffic Redirection Method for Edge Networks
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-72792-5_4
Abstract
Abundant application services make the scale of data centers continue to expand. The complex data processing business and the communication mode based on cluster communication have brought great challenges to the processing capabilities and network transmission capabilities of the internal servers of the data center. Edge computing extends cloud computing service resources to the edge of the network, and solves the problems of poor cloud computing mobility, weak geographic information perception, and high latency. Traditional edge computing networks still have certain limitations. The SDN network provides a new solution for network innovation research. This article proposes a new real-time traffic redirection method for edge network based on load balancing. It monitors the link resource usage status of the edge network through the OpenFlow controller, and dynamically adjusts the flow path through the redirection algorithm to achieve load balancing on the edge network. Simulation results confirmed the feasibility of the algorithm.
