Traffic Classification in Software-Defined Networking Using Genetic Programming Tools
Future Internet,
Journal Year:
2024,
Volume and Issue:
16(9), P. 338 - 338
Published: Sept. 19, 2024
The
classification
of
Software-Defined
Networking
(SDN)
traffic
is
an
essential
tool
for
network
management,
monitoring,
engineering,
dynamic
resource
allocation
planning,
and
applying
Quality
Service
(QoS)
policies.
programmability
nature
SDN,
the
holistic
view
through
SDN
controllers,
capability
adjustable
reconfigurable
controllersare
fertile
ground
development
new
techniques
classification.
Although
there
are
enough
research
works
that
have
studied
methods
in
environments,
they
several
shortcomings
gaps
need
to
be
further
investigated.
In
this
study,
we
investigated
using
publicly
available
trace
datasets.
We
apply
a
series
classifiers,
such
as
MLP
(BFGS),
FC2
(RBF),
(MLP),
Decision
Tree,
SVM,
GENCLASS,
evaluate
their
performance
terms
accuracy,
detection
rate,
precision.
Of
used,
GenClass
appears
more
accurate
separating
categories
problem
than
rest,
reflected
both
precision
recall.
key
element
method
it
can
generate
rules
programmatically
detect
hidden
associations
exist
between
features
desired
classes.
However,
Genetic
Programming-based
require
significantly
higher
execution
time
compared
other
machine
learning
techniques.
This
most
evident
feature
construction
where
at
each
generation
genetic
algorithm,
set
models
required
trained
generated
artificial
features.
Language: Английский
AliAmbra – Enhancing Customer Experience through the Application of Machine Learning and Deep Learning Techniques for Survey Data Assessment and Analysis
Published: Jan. 4, 2024
AliAmbra
is
a
project
developed
to
explore
and
promote
high-quality
catches
of
the
Amvrakikos
Gulf
GP
Artas’
wider
regions.
In
addition,
this
aimed
implement
an
integrated
plan
action,
form
business
identity
with
high-added
value
achieve
services
adapted
special
characteristics
area.
The
action
for
was
actively
search
new
markets,
create
collective
products,
their
quality
added
value,
engage
in
gastronomes
tasting
exhibitions,
dissemination
publicity
actions,
as
well
enhance
products
markets
based
on
customer
needs.
primary
focus
publication
observe
analyze
data
retrieved
from
various
exhibitions
project,
target
goal
improving
experience
product
quality.
Language: Английский