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Proceedings Paper

A novel scheme for fast flow classification in GMPLS-based networks
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Paper Abstract

In GMPLS-based networks, data is forwarded in manner of label switching on Label Switching Router (LSR). Ingress LSR must classify different IP flows into a set of Forwarding Equivalence Classes (FECs), which is a typical flow classification process. Ingress LSR will be the bottleneck of GMPLS-based networks if it could not provision fast flow classification. In this paper, we propose a novel fast flow classification scheme, coined Hierarchical Dividing Tree Scheme (HDTS), to improve the switching performance of ingress LSR in GMPLS-based networks. Four important advantages can be achieved by the proposed HDTS. First, the preprocess time in HDTS is reasonable. Second, fast FEC update is supported. Third, memory cost of HDTS is very low. Most important, the key factor that affects flow classification speed is not the number of FECs, but the depth of the search trees in HDTS. Theoretical analyses and simulations are conducted to evaluate performance of the proposed HDTS. Based on the analytical and experimental results, we can conclude that our HDTS improves the switching performance of ingress LSR greatly and is very practical for GMPLS-based networks due to its low cost.

Paper Details

Date Published: 8 February 2005
PDF: 8 pages
Proc. SPIE 5626, Network Architectures, Management, and Applications II, (8 February 2005); doi: 10.1117/12.576925
Show Author Affiliations
Qing Huang, Beijing Univ. of Posts and Telecommunications (China)
Geng-Sheng Kuo, National Chengchi Univ. (Taiwan)


Published in SPIE Proceedings Vol. 5626:
Network Architectures, Management, and Applications II
S. J. Ben Yoo; Gee-Kung Chang; Guangcheng Li; Kwok-wai Cheung, Editor(s)

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