Intelligent SLA Selection Through the Validation Cloud Broker System
IEEE Access,
Год журнала:
2024,
Номер
12, С. 110230 - 110247
Опубликована: Янв. 1, 2024
Cloud
computing
has
transformed
digital
service
delivery
by
providing
scalable,
flexible
access
to
resources,
including
servers,
storage,
and
applications,
under
a
pay-per-use
model.
This
model
utilizes
geographically
distributed
data
centers
enhance
dynamically
adjust
Service
Level
Agreement
(SLA)
pricing
based
on
demand.
However,
effective
resource
allocation
strategies
remain
challenging,
especially
for
ensuring
low
latency
fast
execution
in
real-time
applications
interactive
services.
Increased
center
load
can
degrade
performance,
impacting
cost
productivity.
.
To
address
these
challenges,
we
developed
the
Intelligent
Validation
Broker
System
(IVCBS).
Uses
an
algorithm
classify
virtual
machine
(VM)
resources
match
them
with
users'
request
sizes,
relying
mathematical
aligned
trapezoidal
membership
function
fuzzy
logic.
reduces
rules
improves
decision-making
accuracy.
We
tested
11
types
of
AWS
General
Purpose
EC2
specifications
across
31
various
regions.
Implementing
comparing
IVCBS
traditional
method
through
two
policies—optimize
response
time
reconfigure
load—showed
that
optimized
policy
outperformed
terms
overall
time,
processing,
total
VM
cost.
addresses
scalability
performance
challenges
efficiently
assigning
VMs,
managing
workload
distribution,
preventing
overload.
Improving
average
servicing
maintains
high
quality
(QoS)
energy
optimization.
Язык: Английский
A Critical Review on Cloud Brokerage Services
N. Vidyavati Devi,
Deepak Asrani,
Komal Asrani
и другие.
Опубликована: Март 14, 2024
Cloud
Brokerage
Service
(CBS)
budding
technology
that
has
become
popular
with
cloud
computing.
CBS
is
a
middleman
providing
value
added
services.
This
paper
provides
systematic
literature
review
on
this
topic,
covering
multiple
publications
during
last
preceding
10
years.
The
aiming
to
provide
an
overview
of
research
status,
and
give
suggestions
how
should
proceed.
Язык: Английский
Comprehensive Analysis of Cloud Computing Performance Factors: Investigating the Impact of Response Time, Load Balancing and Service Broker Policies on Cloud Service Efficiency Using CloudSim Simulation
International Journal of Advanced Research in Science Communication and Technology,
Год журнала:
2024,
Номер
unknown, С. 344 - 353
Опубликована: Ноя. 12, 2024
Cloud
performance
refers
to
the
efficiency
and
effectiveness
with
which
a
cloud
system
operates
delivering
hosted
services
over
internet.
As
computing
continues
offer
flexibility,
scalability
computational
power
monitoring
improving
is
essential.
Performance
optimization
influenced
by
factors
such
as
load
balancing
service
broker
policies
impact
response
times
overall
user
experience.
This
paper
provides
an
in-depth
review
of
key
publications
real-time
tools
identifying
critical
that
affect
efficiency.
Notably,
time
emerged
fundamental
metric
for
quality.
Using
CloudSim
simulation
we
examine
evaluation
criteria
experimentally
assess
dependencies
on
policies,
techniques
data
center
distribution.
study
offers
framework
understanding
highlights
strategies
enhance
experience
in
diverse
environments.
Язык: Английский