Survey and taxonomy of packet classification techniques

By David E. Taylor. CSUR, 2005

558 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/7aff15f99cc4b47f0174b2e2dcba9a52c33c2caa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jonathan S. Turner
2. Eric K. Torng
3. Alex X. Liu
4. Chad R. Meiners
5. Anand Rangarajan
6. Karthik Lakshminarayanan
7. Srinivasan Venkatachary
8. David E. Taylor

In Computer Networks and Communications

1. Jonathan S. Turner
2. Karthik Lakshminarayanan
3. Alex X. Liu
4. Eric K. Torng
5. Chad R. Meiners
6. Anand Rangarajan
7. Srinivasan Venkatachary
8. David E. Taylor

In Hardware and Architecture

1. Jonathan S. Turner
2. Eric K. Torng
3. Alex X. Liu
4. Chad R. Meiners
5. Anand Rangarajan
6. Karthik Lakshminarayanan
7. Srinivasan Venkatachary
8. David E. Taylor

Citations in the corpus

• ClassBench: A Packet Classification Benchmark (2005, methodology): “Likewise, the capacity and efficiency of the most prominent packet classification solution, Ternary Content Addressable Memory (TCAM), is also subject to the characteristics of filter sets [1].”
• TCAM Razor: A Systematic Approach Towards Minimizing Packet Classifiers in TCAMs (2007, methodology): “A comprehensive survey of this work is given in [ 24 ].”
• Algorithms for advanced packet classification with ternary CAMs (2005, methodology): “We evaluate the algorithms using real-life and random databases.”
• The Design and Implementation of Open vSwitch (2015, unknown): “Classification is a well-studied problem [37].”