Algorithms for packet classification
By Pankaj Gupta, Nick McKeown. IEEE Network, 2001
730 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/3bd3efda95207a9e8929aceffb67b2262610ecb4
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
- Sumeet Singh
- Florin Baboescu
- George Varghese
- Ratul Mahajan
- Frank McSherry
- David E. Taylor
- Ilya Mironov
- Jonathan Ullman
In Computer Networks and Communications
- Sumeet Singh
- George Varghese
- Florin Baboescu
- Ratul Mahajan
- Frank McSherry
- David E. Taylor
- Jonathan S. Turner
- Carsten Lund
In Hardware and Architecture
- Sumeet Singh
- George Varghese
- Florin Baboescu
- Ratul Mahajan
- Frank McSherry
- David E. Taylor
- Jonathan S. Turner
- Carsten Lund
Citations in the corpus
- Packet classification for core routers: is there an alternative to CAMs? (2003, background): “Thus the general belief is that hardware solutions like Ternary CAMs are needed for core routers, despite the large amount of board space and power that CAMs consume [2], [6].”
- A high throughput string matching architecture for intrusion detection and prevention (2005, neutral): “There may also be opportunities to apply our technique to well studied areas of IP lookups [22], and packet classification [16].”
- Differentially-private network trace analysis (2010, background): “Based on these results, we surmise that many other forms of packet-level analyses, such as various classification algorithms [10], can also be implemented in the differentially private manner.”