Research on scheduling method based on traffic matrix for IoT security

Shaohua Cao, Dongjie Zhu, Guofu Li, Yanwu Zhang, Xiani Fan, Shanshan Geng, Haiwen Du and Ning Cao

International Journal of Network Management, 2021, vol. 31, issue 2

Abstract: With the increasing number of sensors in the Internet of Things (IoT), network nodes are prone to load imbalance, which seriously affects the reliability and scalability of the IoT. In this paper, a method of load balancing is proposed to reduce the pressure of switches in IoT and improve the efficiency of switch. The method is based on software defined network (SDN) technology using dynamic traffic scheduling of server cluster (DTSSC) model. It obtains the traffic and load matrices for each server and achieves load balancing on each of them. This method has high efficiency and low overhead and is easy to deploy. The validity of this method is verified through experiments; ie, the load ratio of each server is balanced.

Date: 2021
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https://doi.org/10.1002/nem.2101

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Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:31:y:2021:i:2:n:e2101

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