Concurrency and Computation Practice and Experience,
Journal Year:
2022,
Volume and Issue:
35(2)
Published: Nov. 18, 2022
Abstract
Cloud
computing
is
an
established
paradigm
for
end
users
to
access
resources.
infrastructure
providers
seek
maximize
accepted
requests,
meet
Service
Level
Agreements
(SLAs),
and
reduce
operational
costs
by
dynamically
allocating
Virtual
Machines
(VMs)
physical
nodes.
Many
solutions
have
been
presented
manage
cloud
infrastructure,
however,
these
tend
be
centralized
suffer
in
their
ability
maintain
Quality
of
(QOS)
support
data
centers
with
thousands
Decentralized
approaches,
no
central
management,
can
large
centers.
However,
the
obtain
optimal
resource
allocation
across
center.
To
address
this,
we
propose
a
hybrid
hierarchical
decentralized
architecture
that
achieves
lower
SLA
violations
lowers
network
traffic.
We
used
simulation
evaluate
our
proposal
practice
variety
existing
VM
placement
policies.
Procedia Computer Science,
Journal Year:
2023,
Volume and Issue:
230, P. 769 - 779
Published: Jan. 1, 2023
The
practice
of
consolidating
virtual
machines
onto
a
smaller
number
physical
servers
is
known
as
Virtual
Machine
(VM)
consolidation.
This
allows
for
reduction
in
the
total
that
are
required
to
host
with
minimum
consumption
energy.
There
lots
mechanism
already
developed
by
various
researchers
this
filed
optimize
energy
rate.
Therefore,
research
work,
Cuckoo
Search
(CS)
based
VMs
consolidation
approach
Cloud
Computing
(CC).
It
impossible
effectively
efficiency
without
compromising
some
form
system
performance
cloud
service
quality.
majority
current
VM
approaches
on
concept
load
and
threshold,
which
affects
terms
Quality
Service
(QoS)
metrics
such
consumption,
Level
Agreement
(SLA)
violation,
task
scheduling
overhead.
Because
this,
optimizing
currently
impossible.
proposed
CS-based
achieve
goal
research.
When
method
compared
against
literature
SLA
model
achieves
considerable
while
concurrently
achieving
quantity
violations.
MATEC Web of Conferences,
Journal Year:
2024,
Volume and Issue:
392, P. 01140 - 01140
Published: Jan. 1, 2024
Cloud
Computing
(CC)
offers
abundant
resources
and
diverse
services
for
running
a
wide
range
of
consumer
applications,
although
it
faces
specific
issues
that
need
attention.
customers
aim
to
choose
the
most
suitable
resource
fulfills
requirements
consumers
at
fair
cost
within
an
acceptable
timeframe;
however,
times,
they
wind
up
paying
more
shorter
duration.
Many
advanced
algorithms
focus
on
optimizing
single
variable
individually.
Hence,
Optimized
Resource
Allocation
in
(ORA-CC)
Model
is
required
achieve
equilibrium
between
opposing
aims
Computing.
The
ORA-CC
study
create
task
processing
structure
with
decision-making
ability
best
real-time
handling
complicated
uses
Virtual
Computers
(VC).
It
will
utilize
Modified
Particle
Swarm
Optimization
(MoPSO)
method
meet
deadline
set
by
user.
fitness
value
calculated
combining
base
enhanced
estimation
based
algorithm
robust
arrangement.
technique's
effectiveness
evaluated
contrasting
few
current
multi-objective
restrictions
applied
machine
scheduling
strategies
utilizing
Cloudsim
simulation.
comparison
demonstrates
suggested
strategy
efficient
allocation
than
other
techniques.
Electronics,
Journal Year:
2021,
Volume and Issue:
10(21), P. 2581 - 2581
Published: Oct. 22, 2021
The
latest
cloud
resource
management
research
has
revealed
that
virtual
machine
(VM)
consolidation
allows
for
effectively
managing
the
physical
resources
of
data
centers.
However,
a
tremendous
waste
power
and
been
pointed
as
one
challenges
related
to
development
new
methods
VM
in
center
order
deliver
wide
range
IT
services
clients
effectively.
This
paper
investigates
problem
power-aware
under
dynamic
workloads,
uncertainty,
changing
number
VMs.
For
this
purpose,
authors
propose
method
based
on
beam
search
takes
into
account
four
types
(CPU,
memory,
network
throughput,
storage
throughput)
six
quality
metrics.
Optimal
algorithm
parameters
defined
are
determined
using
integral
estimation
method.
SLA
violation
minimization
significant
improvement
metrics,
accompanied
by
decreased
migrations
slight
deterioration
consumption.
proposed
is
evaluated
common
widespread
hardware
configurations
Bitbrains
workload
traces.
experiments
show
approach
can
ensure
efficient
use
terms
migrations.
Concurrency and Computation Practice and Experience,
Journal Year:
2022,
Volume and Issue:
35(2)
Published: Nov. 18, 2022
Abstract
Cloud
computing
is
an
established
paradigm
for
end
users
to
access
resources.
infrastructure
providers
seek
maximize
accepted
requests,
meet
Service
Level
Agreements
(SLAs),
and
reduce
operational
costs
by
dynamically
allocating
Virtual
Machines
(VMs)
physical
nodes.
Many
solutions
have
been
presented
manage
cloud
infrastructure,
however,
these
tend
be
centralized
suffer
in
their
ability
maintain
Quality
of
(QOS)
support
data
centers
with
thousands
Decentralized
approaches,
no
central
management,
can
large
centers.
However,
the
obtain
optimal
resource
allocation
across
center.
To
address
this,
we
propose
a
hybrid
hierarchical
decentralized
architecture
that
achieves
lower
SLA
violations
lowers
network
traffic.
We
used
simulation
evaluate
our
proposal
practice
variety
existing
VM
placement
policies.
