Title: Performance analysis of a hierarchical switched network architecture

Authors: Jingguo Ge; Junling You; Yulei Wu; Yuepeng E

Addresses: Computer Network Information Center, Chinese Academy of Sciences, Building 2, 4 Zhongguancun Nansijie, Haidian District, Beijing 100190, China ' Computer Network Information Center, Chinese Academy of Sciences, Building 2, 4 Zhongguancun Nansijie, Haidian District, Beijing 100190, China ' Computer Network Information Center, Chinese Academy of Sciences, Building 2, 4 Zhongguancun Nansijie, Haidian District, Beijing 100190, China ' Computer Network Information Center, Chinese Academy of Sciences, Building 2, 4 Zhongguancun Nansijie, Haidian District, Beijing 100190, China

Abstract: In an effort to solve the problems encountered by the current internet, we have proposed an original hierarchical switched network (HSNet) architecture with the new address structure and hierarchical switching and controlling protocols including a per-flow load-balancing algorithm for HSNet. To evaluate the effectiveness and accuracy of the proposed architecture and the load-balancing algorithm, this paper conducts extensive NS-2 simulation experiments. Furthermore, we prototype the switching equipment of HSNet based on the Intel IXP2800 Network Processor and test the equipment by virtue of the professional measuring instrument, i.e., Agilent N2X. In addition to the simulation experiments, a test-bed of HSNet is then built based on the developed switching equipments. Both the simulation and real experimental results demonstrate that the per-flow load balancing algorithm can effectively balance the load on network channels for HSNet, and the developed switching equipment can achieve a high throughput.

Keywords: internet architecture; hierarchical structure; network topology; load balancing; performance evaluation; hierarchical switched networks; simulation; throughput.

DOI: 10.1504/IJAACS.2016.075394

International Journal of Autonomous and Adaptive Communications Systems, 2016 Vol.9 No.1/2, pp.103 - 118

Received: 04 Sep 2013
Accepted: 11 Oct 2013
Published online: 19 Mar 2016 *

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