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

被引：0

作者：

Chen, Jian-Bo ^{[1
]}

Cheng, Wei-Kang ^{[1
]}

机构：

[1] Ming Chuan Univ, Dept Informat & Telecommun Engn, Taipei, Taiwan

来源：

JOURNAL OF INTERNET TECHNOLOGY | 2021年 / 22卷 / 06期

关键词：

PageRank; Software defined Networking; Congestion;

D O I：

10.53106/160792642021112206006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1265 / 1271

页数：7

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