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2010 24th IEEE International Conference on Advanced Information Networking and Applications
Grid of Segment Trees for Packet Classification
Perth, Australia
April 20-April 23
ISBN: 978-0-7695-4018-4
Packet classification problem has received much attention and continued to be an important topic in recent years. In packet classification problem, each incoming packet should be classified into flows according to a set of pre-defined rules. Grid-of-tries (GoT) is one of the traditional algorithmic schemes for solving 2-dimensional packet classification problem. The advantage of GoT is that it uses the switch pointers to avoid backtracking operation during the search process. However, the primary data structure of GoT is base on binary tries. The traversal of binary tries decreases the performance of GoT due to the heights of binary tries are usually high. In this paper, we propose a scheme called GST (Grid of Segment Trees). GST modifies the original GoT by replacing the binary tries with segment trees. The heights of segment trees are much shorter than those of binary tries. As a result, the proposed GST can inherit the advantages of GoT and segment trees to achieve better performance. Experiments conducted on three different kinds of rule tables show that our proposed scheme performs better than traditional schemes, such as hierarchical tries and grid-of-tries.
Citation:
Yeim-Kuan Chang, Yung-Chieh Lin, Chen-Yu Lin, "Grid of Segment Trees for Packet Classification," aina, pp.1144-1149, 2010 24th IEEE International Conference on Advanced Information Networking and Applications, 2010
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