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.
World Journal of Advanced Engineering Technology and Sciences,
Journal Year:
2024,
Volume and Issue:
11(1), P. 220 - 230
Published: Feb. 17, 2024
Advancing
Green
Computing:
Practices,
Strategies,
and
Impact
in
Modern
Software
Development
for
Environmental
Sustainability
explores
the
evolving
landscape
of
green
computing
within
realm
software
development,
emphasizing
imperative
environmentally
sustainable
practices.
In
response
to
escalating
environmental
concerns,
industry
is
undergoing
a
paradigm
shift
towards
reducing
its
carbon
footprint
mitigating
ecological
impacts.
This
particularly
crucial
given
pervasive
influence
on
technological
ecosystems.
The
review
delves
into
multifaceted
dimensions
computing,
elucidating
various
practices
strategies
that
are
instrumental
fostering
sustainability.
From
optimizing
code
efficiency
embracing
energy-efficient
architectures,
underscores
diverse
approaches
available
developers
minimizing
resource
consumption
emissions.
Furthermore,
it
examines
broader
ramifications
these
practices,
their
potential
reshape
industry's
contribute
global
efforts
conservation.
Moreover,
highlights
symbiotic
relationship
between
modern
development
methodologies.
It
elucidates
how
principles
such
as
agile
DevOps
can
be
synergistically
integrated
with
enhance
sustainability
throughout
lifecycle.
By
adopting
an
interdisciplinary
approach
integrates
considerations
design,
deployment
processes,
organizations
catalyze
transformative
changes
greener
ecosystem.
also
investigates
tangible
impact
metrics.
Through
case
studies
empirical
analyses,
showcases
efficacy
energy
consumption,
emissions,
electronic
waste
generation.
Additionally,
discusses
economic
societal
benefits
accrued
from
ranging
cost
savings
enhanced
corporate
social
responsibility.
provides
comprehensive
overview
context
development.
myriad
opportunities
challenges
associated
integrating
IEEE Communications Surveys & Tutorials,
Journal Year:
2023,
Volume and Issue:
25(3), P. 1991 - 2020
Published: Jan. 1, 2023
Future
communication
networks
are
envisioned
to
satisfy
increasingly
granular
and
dynamic
requirements
accommodate
the
application
user
demands.
Indeed,
novel
immersive
mission-critical
services
necessitate
increased
computing
network
resources,
reduced
latency,
guaranteed
reliability.
Thus,
efficient
adaptive
resource
management
schemes
required
provide
maintain
sufficient
levels
of
Quality
Experience
(QoE)
during
service
life-cycle.
Service
migration
is
considered
a
key
enabler
orchestration.
moving
on
demand
an
mechanism
for
mobility
support,
load
balancing
in
case
fluctuations
demands,
hardware
failure
mitigation.
However,
requires
planning,
as
multiple
parameters
must
be
optimized
reduce
disruption
minimum.
Recent
breakthroughs
computational
capabilities
allowed
emergence
Machine
Learning
tool
decision
making
that
expected
enable
seamless
automation
by
predicting
events
learning
optimal
policies.
This
paper
surveys
contributions
applying
(ML)
methods
optimize
migration,
providing
detailed
literature
review
recent
advances
field
establishing
classification
current
research
efforts
with
analysis
their
strengths
limitations.
Finally,
provides
insights
main
directions
future
research.
Software Practice and Experience,
Journal Year:
2021,
Volume and Issue:
52(1), P. 194 - 235
Published: June 28, 2021
Abstract
Cloud
systems
have
become
an
essential
part
of
our
daily
lives
owing
to
various
Internet‐based
services.
Consequently,
their
energy
utilization
has
also
a
necessary
concern
in
cloud
computing
increasingly.
Live
migration,
including
several
virtual
machines
(VMs)
packed
on
minimal
physical
(PMs)
as
consolidation
(VMC)
technique,
is
approach
optimize
power
consumption.
In
this
article,
we
proposed
energy‐aware
method
for
the
VMC
problem,
which
called
(EVMC),
consumption
regarding
quality
service
guarantee,
comprises:
(1)
support
vector
machine
classification
based
rate
all
resource
PMs
that
used
PM
detection
terms
amount'
load;
(2)
modified
minimization
migration
VM
selection;
(3)
particle
swarm
optimization
implemented
placement.
Also,
evaluation
functional
requirements
presented
by
formal
and
non‐functional
simulation.
Finally,
contrast
standard
greedy
algorithms
such
best
fit
decreasing,
EVMC
decreases
active
VMs,
respectively,
30%,
50%
average.
it
more
efficient
30%
average,
resources
balance
degree
15%
average
cloud.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 106190 - 106209
Published: Jan. 1, 2023
In
the
last
decade,
users
can
access
their
applications,
data,
and
services
via
cloud
from
any
location
with
an
internet
connection.
The
scale
of
heterogeneous
environments
is
continuously
growing
due
to
development
computing-intensive
smart
devices.
A
data
center
central
processing
unit
environment,
it
made
up
hardware-oriented
machines
known
as
Physical
Machines
(PMs)
or
server
software-oriented
Virtual
(VMs).
deployment
a
huge
number
physical
servers
result
exponential
in
demand
for
has
resulted
high
energy
consumption
ineffective
resource
usage.
Efficient
utilization
minimizing
power
by
have
become
crucial
challenges.
machine
consolidation(VMC)
method
optimizing
computing
resources
consolidating
multiple
VMs
onto
reduced
PMs.
By
running
fewer
servers,
VM
consolidation
lead
reducing
efficient
utilization.
This
review
paper
presents
comprehensive
analysis
virtual
consolidation,
exploring
various
strategies,
benefits,
challenges,
future
trends
this
domain.
examining
wide
range
literature
year
2015
2023,
attempts
provide
insight
into
current
state
its
possible
effects
on
performance
sustainability
computing.
main
flaw
articles
that
authors
focused
different
assessment
metrics
while
emphasis
should
been
improving
efficiency
quality
service
systems.
Future
research
be
aimed
at
developing
multi-objective
system
emphasizes
usage
without
sacrificing
quality,
preventing
level
agreements
being
compromised.
IEEE Access,
Journal Year:
2022,
Volume and Issue:
10, P. 107846 - 107863
Published: Jan. 1, 2022
Although
fog
computing
is
a
new
research
topic,
there
are
robust
and
integrated
solutions
for
service
activation
management
how
to
distribute
IoT
services
over
available
resources.
This
paper
presents
multi-objective
gray
wolf
optimization
(GWO)
solution
more
efficient
scheduling
management.
utilizes
function
in
the
resource
allocation
process
by
developing
improving
proposed
algorithm
check
status
of
resources
manage
tasks.
The
main
purpose
this
study
create
trade-off
between
energy
consumption
task
execution
time.
has
presented
two-stage
approach
solve
offloading
problem.
First,
GWO
used
problem,
then
container
migration
problem
appropriate
allocation.
Container
causes
an
idle
physical
server
turn
off,
reducing
power
consumption,
imbalance,
latency,
efficiency.
method
been
compared
with
three
scenarios
700
nodes,
1000
5000
nodes.
implemented
simulated
iFogSim
five
classical
algorithms.
analytical
results
indicate
better
performance
strategy
average
time
host
selection
averages
reduction
15,
20,
25,
21%,
respectively,
Particle
swarm
(PSO),
Ant
colony
(ACO),
Grasshopper
(GOA),
Genetic
(GA),
Cuckoo
(COA),
12%
required
reallocation
container,
service-level
agreement
(SLA)
violation
rate
maintained
range
9-10/%
all
other
solutions.
IEEE Transactions on Sustainable Computing,
Journal Year:
2022,
Volume and Issue:
8(1), P. 68 - 81
Published: Aug. 8, 2022
Due
to
large-scale
applications
and
services,
cloud
computing
infrastructures
are
experiencing
an
ever-increasing
demand
for
resources.
At
the
same
time,
overall
power
consumption
of
data
centers
has
been
rising
beyond
1%
worldwide
electricity
consumption.
The
usage
renewable
energy
in
contributes
decreasing
their
carbon
footprint
costs.
Several
green-energy-aware
resource
allocation
approaches
have
studied
recently.
None
them
takes
advantage
joint
migration
jobs
xmlns:xlink="http://www.w3.org/1999/xlink">energy
green
increase
efficiency.
This
paper
presents
optimization
approach
energy-efficient
mini
centers.
observed
momentum
around
edge
makes
design
geographically
distributed
highly
desirable.
Our
solution
exploits
both
virtual
machines
(VMs)
migrations
between
compute
nodes
These
harvesting,
storage,
transport
capabilities.
They
enable
VMs
across
different
nodes.
Compared
VM
alone,
joint-optimization
reduces
utility
by
up
22%.
reduction
can
reach
28.5%
system
when
integrating
less
servers.
gains
demonstrated
using
simulation
a
Mixed
Integer
Linear
Programming
formulation
problem.
Furthermore,
we
show
how
our
sustaining
old-generation
efficient
servers
