5G
networks
support
a
Multi-access
Edge
Computing
(MEC)
infrastructure
to
host
many
heterogeneous
applications
at
the
network's
edge.
MEC
helps
achieve
high-bandwidth
and
low-latency
targets
demanded
by
modern
applications.
Applications
hosted
in
have
Service
Level
Agreements
(SLAs)
that
guarantee
service
quality
users.
migrations
are
done
prevent
SLA
violations
caused
application
performance
or
overload
conditions.
While
several
existing
research
on
study
impact
of
user
mobility,
there
is
paucity
studies
performed
during
This
paper
proposes
novel
Adaptive
Migration
Window
(ASMWA)
algorithm
initiate
using
application's
resource
utilisation,
QoS
migration
duration.
We
compared
ASMWA
with
state-of-the-art
Exponential
Weighted
Moving
Average
(EWMA3)
static
threshold
algorithms.
Our
simulations
show
performs
better
when
EWMA3
algorithms
minimising
degradation
MEC.
Intelligent Decision Technologies,
Journal Year:
2023,
Volume and Issue:
17(2), P. 471 - 484
Published: Jan. 17, 2023
The
Proliferation
of
on-demand
usage-based
IT
services,
as
well
the
diverse
range
cloud
users,
have
led
to
establishment
energy-hungry
hefty
data
centers.
Therefore,
service
providers
are
striving
reduce
energy
consumption
for
cost-saving
and
environmental
sustainability
issues
In
this
direction,
Virtual
Machine
(VM)
consolidated
is
a
widely
used
approach
optimize
hardware
resources
at
cost
performance
degradation
due
unnecessary
migrations.
Hence,
motivation
proposed
minimize
while
maintaining
This
leads
reduction
in
overall
an
increase
reliability
providers.
To
achieve
goal
Predictive
Consolidation
(PVMC)
algorithm
using
exponential
smoothing
moving
average
(ESMA)
method.
algorithm,
ratio
deviation
utilization
calculated
VM
selection
placement.
migrating
high
CPU
VMs
or
we
can
restrict
steady
resource-consuming
from
migration.
outcomes
validated
on
computer-based
simulation
under
dynamic
workload
variable
number
(1–290).
experimental
results
show
improvement
mean
threshing
index
(40%,
45%)
instruction
(15%,
17%)
over
existing
policies.
could
be
real-world
centers
reducing
low
level
agreement
violations.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 86739 - 86753
Published: Jan. 1, 2023
The
energy
used
by
cloud
data
centers
(CDCs)
to
support
large
volumes
of
storage
and
computation
is
dramatically
increasing
as
the
scope
services
continues
expand.
This
puts
a
greater
burden
on
environment
results
in
higher
expenses
for
providers.
Virtualization
migration
consolidation
have
been
widely
current
CDCs
achieve
ser-vice
reduce
consumption
(EC).
study
divides
fundamental
tasks
virtual
machine
(VM)
into
three
portions:
determining
timing,
choosing
VMs
migrate
out,
selecting
destination
hosts.
An
EC
levels-based
adaptive
dynamic
threshold
method
timing
was
proposed,
well
correlation
utilization-based
strategy
out
an
improved
EC-aware
best-fit
algorithm
pro-posed
algorithms
were
evaluated
using
CloudSim
toolbox,
real
VM
workload
traces
from
PlanetLab
experimental
data.
According
experiments,
proposed
EC,
service
level
agreement
violation
(SLAV),
number
migrations
average
15.49%,
7.85%,
83.32%
comparison
related
state-of-the-art
methods
benchmark
algorithms.
suggests
that
outperform
other
techniques
migration,
even
when
necessitates
significant
or
amount
host
resources,
improve
quality
while
optimizing
consumption.
However,
experiments
conducted
simulation
platform,
which
has
some
drawbacks,
leading
varying
slightly
actual
environment.
Relying
party
validator
is
a
critical
component
of
RPKI:
it
fetches
and
validates
signed
authorizations
mapping
prefixes
to
their
owners.
Routers
use
this
information
block
bogus
BGP
routes.
