International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(9)
Published: Jan. 1, 2023
End-Edge-Cloud
Computing
(EECC)
has
been
applied
in
many
fields,
due
to
the
increased
popularity
of
smart
devices.
But
cooperation
end
devices,
edge
and
cloud
resources
is
still
challenge
for
improving
service
quality
resource
efficiency
EECC.
In
this
paper,
we
focus
on
task
offloading
address
challenge.
We
formulate
problem
as
mixed
integer
nonlinear
programming,
solve
it
by
Genetic
Algorithm
(GA).
GA-based
algorithm,
each
chromosome
code
a
solution,
evolution
iteratively
search
global
best
solution.
To
improve
performance
offloading,
integrate
two
improvement
schemes
into
which
are
replacement
rescheduling,
respectively.
The
replace
every
individual
its
better
offspring
after
crossing,
substitutes
selection
operator
population
evolution.
rescheduling
rejected
available
resources,
given
solution
from
chromosome.
Extensive
experiments
conducted,
results
show
that
our
proposed
algorithm
can
upto
32%
user
satisfaction,
12%
efficiency,
35.3%
processing
compared
with
nine
classical
up-to-date
algorithms.
Robotics and Computer-Integrated Manufacturing,
Journal Year:
2023,
Volume and Issue:
82, P. 102520 - 102520
Published: Jan. 15, 2023
The
machine
tool
industry
plays
a
major
role
in
the
execution
of
high-quality
and
efficient
complex
manufacturing
processes.
adoption
digital
technologies
can
transform
production
systems
into
more
connected,
adaptive,
efficient,
potentially
sustainable
systems.
A
key
enabler
this
transformation
is
servitization,
business
model
that
builds
on
digitalization
data
capture
to
deliver
value
through
services.
Digital
services
for
tools
typically
use
obtained
highly
connected
environments,
providing
visibility
lifecycles,
enabling
better
decision-making.
However,
an
understanding
servitization
support
still
emerging
most
industrial
actors
potential
risks
are
unclear.
findings
study
describe
applications
industry,
synthesize
identified
from
practitioners'
perspectives,
provide
mitigation
contingency
activities.
This
contributes
bridging
gap
between
theory
practice
by
clarifying
companies'
needed
considerations
before
implementing
industry.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(9), P. e29916 - e29916
Published: April 22, 2024
With
the
rapid
development
of
Internet
Things
(IoT)
technology,
Terminal
Devices
(TDs)
are
more
inclined
to
offload
computing
tasks
higher-performance
servers,
thereby
solving
problems
insufficient
capacity
and
battery
consumption
TD.
The
emergence
Multi-access
Edge
Computing
(MEC)
technology
provides
new
opportunities
for
IoT
task
offloading.
It
allows
TDs
access
networks
through
multiple
communication
technologies
supports
mobility
terminal
devices.
Review
studies
on
offloading
MEC
have
been
extensive,
but
none
them
focus
in
MEC.
To
fill
this
gap,
paper
a
comprehensive
in-depth
understanding
algorithms
mechanisms
network.
For
each
paper,
main
solved
by
mechanism,
technical
classification,
evaluation
methods,
supported
parameters
extracted
analyzed.
Furthermore,
shortcomings
current
research
future
trends
discussed.
This
review
will
help
potential
researchers
quickly
understand
panorama
approaches
find
appropriate
paths.
Machines,
Journal Year:
2022,
Volume and Issue:
10(12), P. 1137 - 1137
Published: Nov. 29, 2022
In
any
industry,
Equipment
Asset
Management
(EAM)
is
at
the
core
of
production
activities.
With
rapid
development
Industrial
Internet
technologies
and
platforms,
EAM
based
on
has
become
an
important
trend.
Meanwhile,
paradigm
changing,
from
a
single
machine
to
integrated
systems,
phase
using
them
end
their
lifecycle,
breakdown
maintenance
predictive
maintenance,
local
decision-making
collaborative
optimization.
However,
because
lack
unified
understanding
platforms
(IIPs)
comprehensive
reference
architecture
detailed
implementation
framework,
projects
will
face
greater
risks
according
special
needs
in
different
industries.
Based
method
system
engineering,
this
study
proposes
general
model
for
Solution
(I3EAM).
Further,
help
enterprise
evaluate
select
best-fit
I3EAM
scheme
platform
partner,
we
proposed
set
performance
indicators
schemes
quantitative
fuzzy
DEMATEL-TOPSIS.
Finally,
case
automated
container
terminals
was
conducted.
multi-criteria
decision
environment
with
complex
uncertainty,
project
group
identified
metrics
priorities
social
digitalization
that
were
more
line
actual
terminal
firms.
The
complexity
time
process
dramatically
reduced.
terms
feasibility
validity,
result
positively
verified
by
feedback
implementation.
given
model,
architecture,
can
create
certain
value
various
industrial
enterprises
carry
out
analysis
top-level
planning
choose
partner
co-implementation.
addition,
research
results
have
potential
support
construction
standard
systems
optimization
cross-domain
platform,
etc.
