SSRN Electronic Journal,
Год журнала:
2022,
Номер
unknown
Опубликована: Янв. 1, 2022
Due
to
the
growing
demand
for
delay-sensitive
computing,
partial
offloading
has
recently
attracted
significant
attention
research
community.
The
most
appropriate
mathematical
tool
modeling
behavior
of
selfish
agents
when
interacting
with
each
other
is
game
theory.
Because
solutions
proposed
in
previous
classical
theory
consider
user
as
a
player,
they
may
not
be
scalable.
Moreover,
dynamic
changes
fog
environment
have
been
ignored
almost
all
research.
This
paper
presents
dual-population
using
replicator
dynamics
considering
interaction
between
and
computing
environment.
Unlike
theory,
here,
strategy
selected
offload
computation
viewed
player.
method
can
very
efficiently
model
growing/shrinking
two
populations
CPU
cycles
on
both
network
sides.
We
obtain
conditions
under
which
latency
energy
consumption
are
jointly
minimized
compared
full
local
execution
modes.
simulation
results
show
superiority
over
baseline
state-of-the-art
techniques
saving
time
energy.
IEEE Internet of Things Journal,
Год журнала:
2023,
Номер
11(8), С. 14296 - 14312
Опубликована: Дек. 13, 2023
The
Industrial
Internet
of
Things
(IIoT)
has
revolutionized
industrial
processes
by
facilitating
the
seamless
connectivity
and
communication
devices
systems
within
environments.
As
a
critical
component,
edge
computing
provides
flexible
data
sensing
real-time
processing
services,
which
facilitates
comprehensive
enhancement
for
IIoT
systems.
However,
due
to
tremendous
increase
in
limited
resources
servers,
ensuring
efficient
resource
sharing
while
prioritizing
benefits
both
parties
would
be
driving
force
edge-enabled
In
this
work,
we
propose
distributed
mechanism
objective
proposed
is
maximizing
social
welfare
optimizes
utility
device
cost
server
simultaneously.
particular,
integrate
soft-defined
network
(SDN)
technique
into
threelayer
framework
support
agile
management
formulate
optimization
models
multiple
scenarios.
Furthermore,
design
alternating
direction
method
multipliers
(ADMMs)
algorithms
appropriately
decompose
primal
problem
subproblems
explore
their
interactive
relationships
requesting
using
characteristic
ADMM.
Finally,
extensive
performance
evaluations
are
conducted
under
scenarios
manifest
effectiveness
reliability
terms
convergence
rate,
fault
tolerance.
Photonics,
Год журнала:
2024,
Номер
11(4), С. 340 - 340
Опубликована: Апрель 7, 2024
Ultraviolet
(UV)
networks
are
widely
applied
in
complex
electromagnetic
environments.
Designing
an
efficient
multi-node
medium
access
control
(MAC)
protocol
for
these
is
important.
In
this
study,
we
proposed
enhanced
clustering
time
division
multiple
(TDMA)
MAC
based
on
and
learning
automata
(LA).
Subsequently,
the
effects
of
network
topology,
class
service,
number
cluster
nodes
performance
under
were
analyzed.
Then,
was
compared
with
TDMA
system.
Results
revealed
that
it
obtained
a
better
performance,
proving
its
suitability
UV
networking.
PLoS ONE,
Год журнала:
2024,
Номер
19(6), С. e0304067 - e0304067
Опубликована: Июнь 4, 2024
Edge
computing
is
a
scalable,
modern,
and
distributed
architecture
that
brings
computational
workloads
closer
to
smart
gateways
or
devices.
This
model
delivers
IoT
(Internet
of
Things)
computations
processes
the
requests
from
network.
In
diverse
independent
environment
like
Fog-Edge,
resource
management
critical
issue.
Hence,
scheduling
vital
process
enhance
efficiency
allocation
resources
properly
tasks.
The
manuscript
proposes
an
Artificial
Neural
Network
(ANN)
inspired
Antlion
algorithm
for
task
orchestration
environments.
Its
aim
utilization
reduce
energy
consumption.
Comparative
analysis
with
different
algorithms
shows
proposed
balances
load
on
layer,
which
results
in
lower
cloud,
improves
power
consumption,
CPU
utilization,
network
reduces
average
waiting
time
requests.
tested
healthcare
application
environment.
evaluation
outperforms
existing
fuzzy
logic
algorithms.
performance
ANN
based
approach
evaluated
using
metrics,
respectively.
It
logic,
round
robin
algorithm.
technique
achieves
cloud
consumption
improvement
95.94%,
16.79%,
19.85%
environment,
10.64%
23.33%
decreases
by
96%
compared
1.4%
round-robin
