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» Adaptive Network Flow Clustering
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CSE
2009
IEEE
14 years 2 months ago
Self-Tuning the Parameter of Adaptive Non-linear Sampling Method for Flow Statistics
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
Chengchen Hu, Bin Liu
NOMS
2010
IEEE
172views Communications» more  NOMS 2010»
13 years 5 months ago
WiMFlow: a distributed, self-adaptive architecture for flow monitoring in Wireless Mesh Networks
—We present WiMFlow, a dynamic and self-organized flow monitoring framework in Wireless Mesh Networks. The protocol allows for an autonomic organization of the probes, with the ...
Cristian Popi, Olivier Festor
MONET
2007
110views more  MONET 2007»
13 years 6 months ago
Multi-hop Clustering Based on Neighborhood Benchmark in Mobile Ad-hoc Networks
— Large-scale mobile ad-hoc networks require flexible and stable clustered network structure for efficient data collection and dissemination. In this paper, a scheme is present...
Stephen S. Yau, Wei Gao
ICML
1995
IEEE
14 years 8 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
ISPAN
1999
IEEE
13 years 11 months ago
Distributed Clustering for Ad Hoc Networks
A Distributed Clustering Algorithm DCA and a Distributed Mobility-Adaptive Clustering DMAC algorithm are presented that partition the nodes of a fully mobile network ad hoc networ...
Stefano Basagni