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Exploring High-Performance Architecture for Data Center Networks

Deshun Li1, Shaorong Sun2, Qisen Wu2, Shuhua Weng1, Yuyin Tan2, Jiangyuan Yao1,*, Xiangdang Huang1, Xingcan Cao3

1 School of Computer Science and Technology, Hainan University, Haikou, Hainan, 570228, China
2 School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, Hainan, 570228, China
3 University of British Columbia, Vancouver, V6T1Z1, Canada

* Corresponding Author: Jiangyuan Yao. Email: email

Computer Systems Science and Engineering 2023, 46(1), 433-443.


As a critical infrastructure of cloud computing, data center networks (DCNs) directly determine the service performance of data centers, which provide computing services for various applications such as big data processing and artificial intelligence. However, current architectures of data center networks suffer from a long routing path and a low fault tolerance between source and destination servers, which is hard to satisfy the requirements of high-performance data center networks. Based on dual-port servers and Clos network structure, this paper proposed a novel architecture to construct high-performance data center networks. Logically, the proposed architecture is constructed by inserting a dual-port server into each pair of adjacent switches in the fabric of switches, where switches are connected in the form of a ring Clos structure. We describe the structural properties of in terms of network scale, bisection bandwidth, and network diameter. architecture inherits characteristics of its embedded Clos network, which can accommodate a large number of servers with a small average path length. The proposed architecture embraces a high fault tolerance, which adapts to the construction of various data center networks. For example, the average path length between servers is 3.44, and the standardized bisection bandwidth is 0.8 in (32, 5). The result of numerical experiments shows that enjoys a small average path length and a high network fault tolerance, which is essential in the construction of high-performance data center networks.


Cite This Article

D. Li, S. Sun, Q. Wu, S. Weng, Y. Tan et al., "Exploring high-performance architecture for data center networks," Computer Systems Science and Engineering, vol. 46, no.1, pp. 433–443, 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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