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» Tradeoffs for Packet Classification
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LCN
2006
IEEE
15 years 8 months ago
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
Thuy T. T. Nguyen, Grenville J. Armitage
SIGMETRICS
2008
ACM
113views Hardware» more  SIGMETRICS 2008»
15 years 2 months ago
Layered interval codes for tcam-based classification
Ternary content-addressable memories (TCAMs) are increasingly used for high-speed packet classification. TCAMs compare packet headers against all rules in a classification database...
Anat Bremler-Barr, David Hay, Danny Hendler, Boris...
133
Voted
GLOBECOM
2008
IEEE
15 years 9 months ago
On Spectrum Sharing in Cooperative Multiple Access Networks
Abstract— The coexistence and resource sharing between a primary network utilizing cognitive relays and a secondary network are investigated. Two multiple access protocols are pr...
Amr El-Sherif, Ahmed K. Sadek, K. J. Ray Liu
101
Voted
INFOCOM
2005
IEEE
15 years 8 months ago
Designing incentives for peer-to-peer routing
Abstract— In a peer-to-peer network, nodes are typically required to route packets for each other. This leads to a problem of “free-loaders,” nodes that use the network but r...
Alberto Blanc, Yi-Kai Liu, Amin Vahdat
121
Voted
ICDCSW
2003
IEEE
15 years 8 months ago
Optimal Transmission Radius for Flooding in Large Scale Sensor Networks
—One of the principal characteristics of large scale wireless sensor networks is their distributed, multi-hop nature. Due to this characteristic, applications such as query propa...
Marco Zuniga, Bhaskar Krishnamachari