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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Geraci, F. Pellegrini, M. Pisati, P. Rizzo, L. | 
| Copyright Year | 2005 | 
| Description | Author affiliation: Ist. di Informatica e Telematica, Consignlio Nazionale delle Ricerche, Pisa, Italy (Geraci, F.; Pellegrini, M.; Pisati, P.) | 
| Abstract | Packet classification is a common task in modern Internet routers. The goal is to classify packets into "classes" or "flows" according to some ruleset that looks at multiple fields of each packet. Differentiated actions can then be applied to the traffic depending on the result of the classification. Even though rulesets can be expressed in a relatively compact way by using high level languages, the resulting decision trees can partition the search space (the set of possible attribute values) in a potentially very large (106 and more) number of regions. This calls for methods that scale to such large problem sizes, though the only scalable proposal in the literature so far is the one based on a fat inverted segment tree (A. Feldmann and S. Muthukrishnan). In this paper we propose a new geometric technique called G-filter for packet classification on d dimensions. G-filter is based on an improved space decomposition technique. In addition to a theoretical analysis showing that classification in G-filter has O(1) time complexity and slightly super-linear space in the number of rules, we provide thorough experiments showing that the constants involved are extremely small on a wide range of problem sizes, and that G-filter improve the best results in the literature for large problem sizes, and is competitive for small sizes as well. | 
| Starting Page | 304 | 
| Ending Page | 312 | 
| File Size | 1840733 | 
| Page Count | 9 | 
| File Format | |
| ISBN | 0780389689 | 
| ISSN | 0743166X | 
| DOI | 10.1109/INFCOM.2005.1497901 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2005-03-13 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Traffic control Decision trees Filters Telecommunication traffic Internet High level languages Marketing and sales Filtering Network address translation Multidimensional systems | 
| Content Type | Text | 
| Resource Type | Article | 
| Subject | Computer Science Electrical and Electronic Engineering | 
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