Technology of Network & Communication
|
199-202

Dynamic load balancing algorithm for DCN based on flow scheduling selection

Li Songzhou
Shu Yongan
College of Computer Science & Technology, Anhui University, Hefei 230601, China

Abstract

In order to solve the problems of poor load balancing caused by dynamic scheduling in data center networks(DCN), this paper proposed a dynamic load balancing algorithm based on flow scheduling selection(DLBFSS). Firstly, DLBFSS calculated the equal-cost shortest path for each large flow on the congested link and removed the path with insufficient bandwidth. Then, the available throughput of each remaining path for large flows was calculated, and the path with maximum available throughput was selected as the optimal scheduling path. Finally, the congestion probability of each large flow was defined by considering the flow bandwidth and the load of the optimal path, and the congestion probability was used for large flow scheduling selection. The experimental results show that DLBFSS can reduce the network delay, improves the flow bandwidth utilization and ensures load balancing compared with ECMP(equal-cost multi-path) and typical large flow scheduling algorithms.

Foundation Support

安徽省自然科学基金资助项目(1408085MF125)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0675
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Network & Communication
Pages: 199-202
Serial Number: 1001-3695(2019)01-045-0199-04

Publish History

[2019-01-05] Printed Article

Cite This Article

李松州, 束永安. 基于流调度选择的DCN动态负载均衡算法 [J]. 计算机应用研究, 2019, 36 (1): 199-202. (Li Songzhou, Shu Yongan. Dynamic load balancing algorithm for DCN based on flow scheduling selection [J]. Application Research of Computers, 2019, 36 (1): 199-202. )

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  • Application Research of Computers Monthly Journal
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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.

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