Tesis y Tesistas 2020 - Postgrado - Fac. de Informática - UNLP

MAESTRÍA
redes de datos
Mg. Emanuel Adrián Arias
e-mail
emanuel.arias27@gmail.com
english
Director
Ing. Luis Armando Marrone
Thesis defense date
Novimber 6, 2020
SEDICI
http://sedici.unlp.edu.ar/handle/10915/110804
Transmission Control Protocol (TCP)
influence in self-similar traffic
behavior of convergent networks
Keywords: self-similar; autocorrelation; convergence; algorithm; traffic; congestion; telecommunications.
Motivation
This work deals with the problems presented by classic
stochastic models due to the self similar behavior of
existing traffic in convergent networks. The activities
carried out seek to determine the influence of TCP on
said behavior.
In particular, it is proposed to take samples of TCP traffic
and observe whether there is a relationship between
the congestion control mechanism of said protocol with
the degree of self-similarity present in the traffic of a
convergent network.
Thesis contributions
The results show that congestion is a necessary condition
for the existence of a self similar behavior in data traffic.
It is observed that there is a tendency to increase
the self-similar component when retransmissions are
increased considerably.
When retransmission percentages increase in small
proportions, the self-similarity values do not seem to
be related to said increase. This allows us to affirm that
the relationship between congestion and self-similarity
is not linear, and possibly other factors, that have
nothing to do with congestion, influence it.
Future Research Lines
It is recommended in the future to study the type of traffic
that circulates through the network and its relationship
with congestion. The proposed analysis can open up
new lines of research with high chances of success in
this constant search for the root cause of self similar
behavior in multi-service networks.
109 TESIS Y TESISTAS 2020