Optimizing Cloud Resource Management with an IoT-enabled Optimized Virtual Machine Migration Scheme for Improved Efficiency
Journal of Network and Computer Applications,
Год журнала:
2025,
Номер
unknown, С. 104137 - 104137
Опубликована: Фев. 1, 2025
Язык: Английский
A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 8, 2025
Effective
load
balancing
and
resource
allocation
are
essential
in
dynamic
cloud
computing
environments,
where
the
demand
for
rapidity
continuous
service
is
perpetually
increasing.
This
paper
introduces
an
innovative
hybrid
optimisation
method
that
combines
water
wave
optimization
(WWO)
ant
colony
(ACO)
to
tackle
these
challenges
effectively.
ACO
acknowledged
its
proficiency
conducting
local
searches
effectively,
facilitating
swift
discovery
of
high-quality
solutions.
In
contrast,
WWO
specialises
global
exploration,
guaranteeing
extensive
coverage
solution
space.
Collectively,
methods
harness
their
distinct
advantages
enhance
various
objectives:
decreasing
response
times,
maximising
efficiency,
lowering
operational
expenses.
We
assessed
efficacy
our
methodology
by
simulations
using
a
cloud-sim
simulator
variety
workload
trace
files.
comparison
well-established
algorithms,
such
as
WWO,
genetic
algorithm
(GA),
spider
monkey
(SMO),
ACO.
Key
performance
indicators,
task
scheduling
duration,
execution
costs,
energy
consumption,
utilisation,
were
meticulously
assessed.
The
findings
demonstrate
WWO-ACO
approach
enhances
efficiency
11%,
decreases
expenses
8%,
lowers
usage
12%
relative
conventional
methods.
addition,
consistently
achieved
impressive
equilibrium
allocation,
with
balance
values
ranging
from
0.87
0.95.
results
emphasise
algorithm's
substantial
impact
on
improving
system
customer
satisfaction,
thereby
demonstrating
significant
improvement
techniques.
Язык: Английский
Optimizing Formation Processes in Lithium-Ion Battery Manufacturing: Enhancing Efficiency and Quality for Electric Vehicle Applications
Current Journal of Applied Science and Technology,
Год журнала:
2024,
Номер
43(8), С. 63 - 72
Опубликована: Авг. 13, 2024
Aim:
To
examine
the
optimization
of
formation
processes
in
lithium-ion
battery
manufacturing
order
to
enhance
its
efficiency
and
quality
for
electric
vehicle
applications.
Problem
Statement:
The
global
concern
regarding
increase
greenhouse
gas
emissions
which
has
been
a
major
factor
climate
change
greatly
influenced
prevailing
vehicles
as
sustainable
transportation
means.
Significance
Study:
This
technical
review
is
an
eye-opener
researchers
on
need
optimize
process
Lithium-ion
batteries
(LIBs)
are
being
utilized
vehicles.
Methodology:
Recent
literature
materials
form
books,
journals
relevant
published
articles
area
were
consulted.
Discussion:
In
this
review,
consideration
given
means
improve
wide
applications
vehicle.
sequential
steps
required
Li-ion
production
divided
into
three
main
stages
electrode
manufacturing,
cell
assembly
finishing.
Additionally,
essential
involved
explained.
However,
identified
usually
be
bottleneck
due
relatively
low
currents
used
individual
cells.
influencing
factors
affecting
cycling,
temperature
pressure.
Conclusion:
There
manufacturers
these
parameters
consider
them
during
boast
Язык: Английский