Java
was
chosen
over
Python
for
data
science
endeavours
since
it
is
a
widely-used
programming
language.
The
default
JVM
GraalVM,
an
industry-leading
and
high-performance
JVM,
rather
than
Oracle's
default.
GraalVM
has
several
advantages,
including
native
image
generation,
which
pre-compiles
code
into
executable,
resulting
in
smaller
footprint
better
performance.
Apache
OpenNLP,
Java-based
natural
language
processing
framework,
utilized
sentence
detection.
OpenNLP
pre-built
models
recognition,
detection,
etc.
made
completely
reactive
functional
by
modifying
it.
To
achieve
the
goals,
Spring
WebFlux
leveraged
advanced
capabilities
of
17,
lambda
streams.
WebFlux,
event-driven
asynchronous
can
provide
backpressure-capable,
non-blocking
clients
servers.
Additionally,
some
most
frameworks
were
employed,
namely
Micronaut,
Quarkus,
Helidon,
Boot,
to
develop
code.
Two
codes
written
each
framework:
one
utilizing
traditional
detection
implementation.
At
same
time,
other
entirely
functional,
with
implementation
modified
be
functional.
Docker
images
created
deployed
Kubernetes
environment
using
Minikube.
Finally,
concurrent
load-testing
endpoint
1-1000
users
conducted
JMeter
assess
Vital
metrics
such
as
CPU,
memory,
docker
size,
executable
start-up
throughput,
error
per
cent
collected.
It
found
that
reactive-functional
Boot
resulted
superior
scalability,
responsiveness,
fault
tolerance.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(5), P. e26503 - e26503
Published: Feb. 21, 2024
A
Digital
Twin
(DT)
is
a
digital
copy
or
virtual
representation
of
an
object,
process,
service,
system
in
the
real
world.
It
was
first
introduced
to
world
by
National
Aeronautics
and
Space
Administration
(NASA)
through
its
Apollo
Mission
'60s.
can
successfully
design
object
from
physical
counterpart.
However,
main
function
twin
provide
bidirectional
data
flow
between
entity
so
that
it
continuously
upgrade
state-of-the-art
iterative
method
for
creating
autonomous
system.
Data
brain
building
block
any
The
articles
are
found
online
cover
individual
field
two
at
time
regarding
analysis
technology.
There
no
overall
studies
this
manner
online.
purpose
study
overview
level
system,
involves
various
phases.
This
paper
will
comparative
among
all
fields
which
twins
have
been
applied
recent
years.
works
with
vast
amount
data,
needs
be
organized,
stored,
linked,
put
together,
also
motive
our
study.
essential
models,
making
cyber-physical
connections,
running
intelligent
operations.
current
development
status
challenges
present
different
phases
discussed.
outlines
how
DT
used
fields,
like
manufacturing,
urban
planning,
agriculture,
medicine,
robotics,
military/aviation
industry,
shows
structure
based
on
every
sector
using
review
papers.
Finally,
we
attempted
give
horizontal
comparison
features
across
extract
commonalities
uniqueness
sectors,
shed
light
as
well
limitations
future
standpoint.
ICT Express,
Journal Year:
2023,
Volume and Issue:
9(6), P. 1162 - 1182
Published: June 25, 2023
Edge
computing
has
emerged
as
a
promising
paradigm
that
enables
real-time
data
processing
and
analysis
closer
to
the
source
boosts
decision-making
applications
in
safe
manner.
On
other
hand,
microservice
is
new
type
of
architecture
can
be
dynamically
deployed,
migrating
across
edge
clouds
on
demand.
Therefore,
combination
these
two
technologies
provide
numerous
benefits,
including
improved
performance,
reduced
latency,
better
resource
utilization.
In
this
paper,
we
present
thorough
state-of-the-art
research
use
microservices
environments.
We
take
into
consideration
several
distinct
directions,
coordination,
orchestration,
repositories,
scheduling,
autoscaling,
deployment,
management,
different
security
issues.
Furthermore,
explore
potential
various
domains.
Finally,
unsolved
issues
future
directions
emerging
trends
area
are
also
discussed.
