Elephant Flow Detection Mechanism in SDN-Based Data Center Networks

Author:

Tang Qian1,Zhang Huan1,Dong Jun1ORCID,Zhang Lianming1ORCID

Affiliation:

1. College of Information Science and Engineering, Hunan Normal University, Changsha, China

Abstract

Aiming at the problem of network congestion and unbalanced load caused by a large amount of data capacity carried in elephant flow in the data center network, an elephant flow detection method based on SDN is proposed. This method adopts the autodetect upload (ADU) mechanism. ADU is divided into two parts: ADU-Client and ADU-Server, in which ADU-Client runs in the host computer and ADU-Server runs in the SDN controller. When the host sends the elephant flow, the ADU-Client generates a packet with forged source IP address and triggers the Packet_in message of the edge switch to report the information of the elephant flow to the SDN controller and the ADU-Server completes the elephant flow identification. Experimental results show that the ADU elephant flow detection mechanism can effectively detect elephant flow in the data center network, reduce detection time, and improve network performance.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Framework for Elephant Flow Detection for SDNs Based on the Classification;Arabian Journal for Science and Engineering;2023-10-16

2. Online Elephant Flow Prediction for Load Balancing in Programmable Switch Based DCN;IEEE Transactions on Network and Service Management;2023

3. An Adaptive Deep Q-Learning Strategy for Routing Schemes in SDN-Based Data Centre Networks;2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE);2022-12

4. URBM: User-Rank-Based Management of Flows in Data Center Networks through SDN;2022 4th International Conference on Computer Communication and the Internet (ICCCI);2022-07-01

5. Research on Energy-Saving Routing Technology Based on Deep Reinforcement Learning;Electronics;2022-06-29

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