Using PageRank Algorithm to Predict and Prevent Congestion in Software Defined Networking

Jian-Bo Chen,
Wei-Kang Cheng,

Abstract


This research used the PageRank algorithm to predict and prevent congestion. Both the traffic volume and the importance of switches are considered. The most popular switch can to determined according to the ranking. After the most popular switch is determined, the weights can be adjusted to prevent congestion. To prevent congestion efficiently, the values of weight are also determined according to the value of ranking. Simulation results show that this method can evenly distribute loads and reduce response time.


Citation Format:
Jian-Bo Chen, Wei-Kang Cheng, "Using PageRank Algorithm to Predict and Prevent Congestion in Software Defined Networking," Journal of Internet Technology, vol. 22, no. 6 , pp. 1265-1271, Nov. 2021.

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