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» A Machine Learning Approach to TCP Throughput Prediction
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TON
2010
167views more  TON 2010»
12 years 11 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
CN
2007
129views more  CN 2007»
13 years 4 months ago
Machine-learnt versus analytical models of TCP throughput
We first study the accuracy of two well-known analytical models of the average throughput of long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these ...
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
CCGRID
2005
IEEE
13 years 10 months ago
Fast pattern-based throughput prediction for TCP bulk transfers
The ability to quickly predict the throughput of a TCP transfer between a client and a server, or between peers, has wide application in scientific computing and commercial compu...
Tsung-i Huang, Jaspal Subhlok
ICML
2005
IEEE
14 years 5 months ago
Learning structured prediction models: a large margin approach
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 4 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine