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Predicting expected TCP throughput using genetic algorithm

Autor
Hernandez Benet, C.; Kassler, A.J.; Zola, E.
Tipus d'activitat
Article en revista
Revista
Computer networks
Data de publicació
2016-10-24
Volum
108
Pàgina inicial
307
Pàgina final
322
DOI
https://doi.org/10.1016/j.comnet.2016.08.027 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/103219 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S1389128616302808 Obrir en finestra nova
Resum
Predicting the expected throughput of TCP is important for several aspects such as e.g. determining handover criteria for future multihomed mobile nodes or determining the expected throughput of a given MPTCP subflow for load-balancing reasons. However, this is challenging due to time varying behavior of the underlying network characteristics. In this paper, we present a genetic-algorithm-based prediction model for estimating TCP throughput values. Our approach tries to find the best matching co...
Citació
Hernandez Benet, C., Kassler, A.J., Zola, E. Predicting expected TCP throughput using genetic algorithm. "Computer networks", 24 Octubre 2016, vol. 108, p. 307-322.
Paraules clau
Genetic algorithm, IEEE 802.11, Prediction, TCP throughput
Grup de recerca
GRXCA - Grup de Recerca en Xarxes de Comunicacions Cel·lulars i Ad-hoc

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