DocumentCode :
2505224
Title :
Grid of Segment Trees for Packet Classification
Author :
Chang, Yeim-Kuan ; Lin, Yung-Chieh ; Lin, Chen-Yu
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2010
fDate :
20-23 April 2010
Firstpage :
1144
Lastpage :
1149
Abstract :
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.
Keywords :
data structures; grid computing; tree data structures; GST; GoT; backtracking operation; data structure; grid of segment trees; grid-of-tries; packet classification; predefined rules; traditional algorithmic; Application software; Classification tree analysis; Computer science; Costs; Data structures; IP networks; Monitoring; Multimedia communication; Quality of service; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on
Conference_Location :
Perth, WA
ISSN :
1550-445X
Print_ISBN :
978-1-4244-6695-5
Type :
conf
DOI :
10.1109/AINA.2010.38
Filename :
5474843
Link To Document :
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