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Computer Engineering ›› 2019, Vol. 45 ›› Issue (4): 36-40. doi: 10.19678/j.issn.1000-3428.0051365

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SDN-based Flow Probability Path Selection Method for Data Center Network

ZHANG Zhao,LI Hailong,DONG Siqi,HU Lei,MA Jingren   

  1. Combat Support College,Rocket Force University of Engineering,Xi’an 710025,China
  • Received:2018-04-26 Online:2019-04-15 Published:2019-04-15

基于SDN的数据中心网络流概率路径选择方法

张钊,李海龙,董思歧,胡磊,马景仁   

  1. 火箭军工程大学 作战保障学院,西安 710025
  • 作者简介:张钊(1993—),男,硕士研究生,主研方向为软件定义网络;李海龙,副教授、博士;董思歧、胡磊,硕士;马景仁,学士
  • 基金资助:

    国家自然科学基金(61374054)

Abstract:

In order to improve the link bandwidth utilization and throughput of Data Center Network(DCN),a Software Defined Network(SDN) based Flow Probability Path Selection(FPPS) method is proposed.On the basis of the shortest path selection method,the SDN controller is used to classify the network flow,calculate the bandwidth occupation condition of each data flow in the scheduling process.Then,it can reduce the data link fragmentation,optimize the DCN data flow scheduling,and realize the network load balancing.Experimental results show that this method can reduce network transmission delay,improve link utilization and load balance degree.

Key words: probability path, Data Center Network(DCN), load balancing, transmission delay, link utilization

摘要:

为提高数据中心网络(DCN)的链路带宽利用率和吞吐量,提出一种基于软件定义网络(SDN)的流概率路径选择方法。在最短路径选择方法的基础上,利用SDN控制器对网络流进行分类处理,同时计算每条数据流在调度过程中的带宽占用情况以减少数据链路碎片化,并优化DCN数据流量调度,从而实现网络负载均衡。实验结果表明,该方法能降低网络传输时延,提高链路利用率及负载均衡度。

关键词: 概率路径, 数据中心网络, 负载均衡, 传输时延, 链路使用率

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