A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 118007 - 118059
Published: Jan. 1, 2024
Language: Английский
Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications
Energies,
Journal Year:
2024,
Volume and Issue:
17(21), P. 5385 - 5385
Published: Oct. 29, 2024
Electrical
power
systems
are
the
lifeblood
of
modern
civilization,
providing
essential
energy
infrastructure
that
powers
our
homes,
industries,
and
technologies.
As
world
increasingly
relies
on
electricity,
incorporate
renewable
sources,
challenges
have
become
more
complex,
necessitating
advanced
forecasting
optimization
to
ensure
effective
operation
sustainability.
This
review
paper
provides
a
comprehensive
overview
electrical
delves
into
crucial
roles
play
in
ensuring
future
The
examines
various
methodologies
from
traditional
statistical
approaches
machine
learning
techniques,
it
explores
importance
forecasting.
Additionally,
offers
an
in-depth
look
at
problems
including
economic
dispatch,
unit
commitment,
optimal
flow,
network
reconfiguration.
Classical
methods
newer
such
as
meta-heuristic
algorithms
artificial
intelligence-based
techniques
discussed.
Furthermore,
integration
optimization,
demonstrating
how
accurate
forecasts
can
enhance
effectiveness
algorithms.
serves
reference
for
engineers
developing
sophisticated
leading
changing
consumer
behaviors,
addressing
environmental
concerns,
reliable,
efficient,
sustainable
future.
Language: Английский
Scaling Cloud-Based Transaction Systems: How Modern Architectures Handle Growing Demand
Varshini Choudary Nuvvula -
No information about this author
International Journal of Scientific Research in Computer Science Engineering and Information Technology,
Journal Year:
2024,
Volume and Issue:
10(6), P. 1427 - 1438
Published: Dec. 7, 2024
This
comprehensive
article
examines
how
modern
cloud
architectures
handle
the
scaling
challenges
of
transaction-based
systems
in
today's
digital
economy.
It
explores
evolution
from
traditional
monolithic
to
sophisticated
cloud-based
solutions,
analyzing
various
approaches,
including
vertical
scaling,
horizontal
and
autoscaling
mechanisms.
The
investigates
key
components
such
as
load
balancing,
distributed
databases,
implementation
strategies
that
enable
organizations
maintain
high
performance
reliability
under
growing
demands.
Through
a
detailed
examination
real-world
implementations,
demonstrates
advanced
leverage
intelligent
automation,
predictive
analytics,
processing
overcome
limitations.
Special
attention
is
given
financial
technology
e-commerce
sectors,
where
system
directly
impacts
business
success.
also
addresses
critical
aspects
fault
tolerance,
disaster
recovery,
cost
optimization
scaled
environments.
Language: Английский