JA-trie: Entropy-based packet classification
Type
Conference Object
Change log
Authors
Abstract
Any improvement in packet classification performance is crucial to ensure Internet functions continue to track the ever-increasing link capacities. Packet classification is the foundation of many Internet functions: from fundamental packet-forwarding to advanced features such as Quality of Service en-forcement, monitoring and security functions. This work proposes a novel trie-based classification algorithm, named Jump-Ahead Trie (JA-trie), utilizing an entropy-based pre-processing phase and a novel approach to wildcard matching. Through extensive experimental tests, we demonstrate that our proposed algorithm is able to outperform a range of state-of-the-art classification algorithms.
Description
Keywords
4605 Data Management and Data Science, 46 Information and Computing Sciences
Journal Title
2014 IEEE 15th International Conference on High Performance Switching and Routing, HPSR 2014
Conference Name
2014 IEEE 15th International Conference on High Performance Switching and Routing (HPSR)
Journal ISSN
2325-5595
Volume Title
Publisher
IEEE
Publisher DOI
Sponsorship
This work was jointly supported by the EPSRC INTERNET
Project EP/H040536/1, by the National Science Foundation
under Grant No. CNS-0855268, and by the MIUR project
GreenNet (FIRB 2010).