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» On the predictability of large transfer TCP throughput
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TON
2010
167views more  TON 2010»
13 years 28 days 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 6 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
2006
IEEE
14 years 9 days ago
GridFTP-APT: Automatic Parallelism Tuning Mechanism for Data Transfer Protocol GridFTP
GridFTP has been used as a data transfer protocol to effectively transfer a large volume of data in Grid computing. GridFTP supports a feature called parallel data transfer that i...
Takeshi Ito, Hiroyuki Ohsaki, Makoto Imase
PE
2010
Springer
212views Optimization» more  PE 2010»
13 years 1 months ago
Modeling TCP throughput: An elaborated large-deviations-based model and its empirical validation
In today's Internet, a large part of the traffic is carried using the TCP transport protocol. Characterization of the variations of TCP traffic is thus a major challenge, bot...
Patrick Loiseau, Paulo Gonçalves, Julien Ba...
SIGCOMM
1998
ACM
13 years 10 months ago
Modeling TCP Throughput: A Simple Model and Its Empirical Validation
In this paper we develop a simple analytic characterization of the steady state throughput, as a function of loss rate and round trip time for a bulk transfer TCP flow, i.e., a ...
Jitendra Padhye, Victor Firoiu, Donald F. Towsley,...