Technology of Network & Communication
|
203-205

Research on load balancing of elephant flow based on SDN in data center network

Jin Ling
Shu Yongan
College of Computer Science & Technology, Anhui University, Hefei 230601, China

Abstract

To solve the problems of network congestion and load imbalance caused by elephant flow that carried large amounts of data in data center networks. This paper proposed an SDN based load balancing mechanism of elephant flow(EFLB). When network load exceeded the threshold, the controller split the detected elephant flows down into multiple mice flows by Openflow feature and calculated dynamically the minimum load switch according to the collected network topology and link states to ensure load balancing. Experimental results show that the EFLB achieves network load balancing by improving the network throughput and link utilization compared with ECMP(equal-cost mulit-path routing).

Foundation Support

安徽省自然科学基金资助项目(1408085MF125)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.06.0655
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Network & Communication
Pages: 203-205
Serial Number: 1001-3695(2019)01-046-0203-03

Publish History

[2019-01-05] Printed Article

Cite This Article

金玲, 束永安. 数据中心网络中基于SDN的大象流负载均衡的研究 [J]. 计算机应用研究, 2019, 36 (1): 203-205. (Jin Ling, Shu Yongan. Research on load balancing of elephant flow based on SDN in data center network [J]. Application Research of Computers, 2019, 36 (1): 203-205. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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