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» On the predictability of large transfer TCP throughput
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TON
2010
167views more  TON 2010»
14 years 6 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»
14 years 11 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
15 years 5 months 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»
14 years 6 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
15 years 3 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,...