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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yeim-Kuan Chang Yung-Chieh Lin Chen-Yu Lin |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 1144 |
| Ending Page | 1149 |
| File Size | 320124 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424466955 |
| ISSN | 1550445X |
| e-ISBN | 9781424466962 |
| DOI | 10.1109/AINA.2010.38 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-20 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Classification tree analysis Switches Data structures Quality of service Costs Application software Computer science IP networks Monitoring Multimedia communication |
| Content Type | Text |
| Resource Type | Article |
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