Name
Abstract | ||
|---|---|---|
Most existing packet classification algorithms adopt only one cutting strategy. However, the proposed algorithm adopts a hybrid one that combines equi-sized cuttings with pivot-based cuttings, so it can significantly increase cutting efficiency. Therefore, it can have distinct features, such as smaller table size, larger supportable rule set, and higher classification performance compared with the existing competitors. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LCOMM.2017.2658605 | IEEE Communications Letters |
Keywords | Field | DocType |
Partitioning algorithms,Decision trees,Indexes,Computers,Electronic mail,IP networks,Memory management | Decision tree,Computer science,Computer network,Memory management,Artificial intelligence,Packet classification,Computer engineering,Machine learning,Competitor analysis | Journal |
Volume | Issue | ISSN |
21 | 5 | 1089-7798 |
Citations | PageRank | References |
3 | 0.40 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-Hyeong Wee | 1 | 4 | 0.75 |
| Wooguil Pak | 2 | 37 | 9.83 |