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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Baboescu, F. Varghese, G. |
| Copyright Year | 2002 |
| Description | Author affiliation: Univ. of California, USA (Baboescu, F.; Varghese, G.) |
| Abstract | Packet filters provide rules for classifying packets based on header fields. High speed packet classification has received much study. However, the twin problems of fast updates and fast conflict detection have not received much attention. A conflict occurs when two classifiers overlap, potentially creating ambiguity for packets that match both filters. For example, if Rule 1 specifies that all packets going to CNN be rate controlled and Rule 2 specifies that all packets coming from Walmart be given high priority, the rules conflict for traffic from Walmart to CNN. There has been prior work on efficient conflict detection for two dimensional classifiers. However, the best known algorithm for conflict detection for general classifiers is the naive O(N/sup 2/) algorithm of comparing each pair of rules for a conflict. We describe an efficient and scalable conflict detection algorithm for the general case that is significantly faster. For example, for a database of 20,000 rules, our algorithm is 40 times faster than the naive implementation. Even without considering conflicts, our algorithm also provides a packet classifier with fast updates and fast lookups that can be used for stateful packet filtering. |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Distributed Process |
| Starting Page | 270 |
| Ending Page | 279 |
| File Size | 2328063 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769518567 |
| ISSN | 10921648 |
| DOI | 10.1109/ICNP.2002.1181414 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-11-12 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bandwidth Databases Matched filters Cellular neural networks Detection algorithms Filtering algorithms Multiprotocol label switching Traffic control Diffserv networks Access protocols |
| Content Type | Text |
| Resource Type | Article |
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