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o
wn
a
n
d
en
er
g
y
u
s
e
u
n
d
e
r
co
n
t
r
o
l,
y
o
u
n
ee
d
a
s
y
s
tem
th
at
m
a
p
s
o
u
t
all
o
f
y
o
u
r
ex
p
en
s
es
an
d
in
f
o
r
m
atio
n
co
n
s
u
m
p
tio
n
in
r
ea
l
-
tim
e.
Als
o
in
f
lu
en
cin
g
c
o
s
ts
in
a
s
m
ar
t
g
r
i
d
s
ettin
g
ar
e
p
o
wer
av
ailab
ilit
y
,
p
ea
k
h
o
u
r
s
,
an
d
c
u
s
to
m
er
p
o
wer
u
s
e.
C
o
n
s
u
m
e
r
s
ca
n
r
ed
u
ce
th
e
co
s
t
o
f
p
o
w
er
u
s
e
b
y
s
ettin
g
an
ef
f
icien
t
u
s
ag
e
s
ch
ed
u
le
d
u
r
in
g
o
f
f
-
p
ea
k
h
o
u
r
s
.
I
n
r
ea
l
-
wo
r
ld
s
ce
n
ar
io
s
,
elec
tr
icity
lo
ad
m
ay
b
e
r
ed
u
ce
d
b
y
a
co
o
p
er
ativ
e
m
ap
p
i
n
g
o
f
co
n
s
u
m
p
tio
n
an
d
p
r
icin
g
s
ch
em
es
[
8
]
.
A
p
e
r
s
o
n
'
s
p
o
wer
b
ill
will
g
o
d
o
wn
as
a
r
esu
lt
o
f
th
e
lo
wer
lo
ad
.
I
f
th
er
e
ar
e
a
n
u
m
b
er
o
f
p
o
wer
p
r
o
v
i
d
e
r
s
to
ch
o
o
s
e
f
r
o
m
,
we
m
ay
c
o
m
p
ar
e
th
eir
r
ates,
p
ea
k
-
h
o
u
r
lo
a
d
s
,
an
d
f
r
eq
u
e
n
c
y
o
f
p
o
wer
o
u
tag
es.
All
o
f
th
e
s
e
f
ac
to
r
s
m
ay
b
e
co
n
s
id
er
e
d
to
g
eth
er
to
m
a
k
e
a
s
m
ar
t
ch
o
ice
th
at
will
p
r
o
v
id
e
a
r
eliab
le
p
o
wer
s
u
p
p
ly
at
a
lo
wer
p
r
ice.
On
e
o
p
tio
n
is
to
ch
o
o
s
e
a
s
er
v
ice
p
r
o
v
id
e
r
th
at
o
f
f
er
s
ch
ea
p
er
r
ates
d
u
r
in
g
p
ea
k
h
o
u
r
s
o
r
wh
en
th
e
av
er
ag
e
lo
a
d
is
lo
wer
.
Dep
en
d
in
g
o
n
th
e
n
ee
d
s
o
f
th
e
b
u
y
er
an
d
th
e
r
es
o
u
r
ce
s
o
f
t
h
e
s
eller
,
th
er
e
m
a
y
b
e
m
o
r
e
th
an
o
n
e
d
ec
i
d
in
g
f
a
cto
r
[
1
]
,
[
9
]
.
Fig
u
r
e
1
.
A
s
tan
d
a
r
d
p
o
wer
u
s
ag
e
an
d
d
is
tr
ib
u
tio
n
ar
c
h
itectu
r
e
I
n
th
is
p
ap
er
,
an
o
p
tim
ized
m
o
d
el
f
o
r
s
m
ar
t
h
o
m
e
ar
ch
it
ec
tu
r
e
is
p
r
esen
ted
f
o
r
ef
f
ec
ti
v
e
r
eso
u
r
ce
allo
ca
tio
n
an
d
s
ch
ed
u
lin
g
.
T
h
e
p
r
o
p
o
s
ed
m
ax
-
m
ax
m
o
d
e
l
is
th
e
p
a
r
am
etr
ic
m
a
p
p
in
g
o
v
er
th
e
d
em
a
n
d
-
r
esp
o
n
s
e
alg
o
r
ith
m
to
o
p
tim
i
ze
its
b
eh
av
io
r
to
im
p
r
o
v
e
u
s
er
co
m
f
o
r
t
an
d
r
ed
u
ce
t
h
e
f
ailu
r
e
r
ate.
I
n
th
is
s
ec
tio
n
,
th
e
ch
ar
ac
ter
is
tics
,
b
eh
av
io
r
,
a
n
d
ad
ap
tatio
n
s
o
f
s
m
ar
t
h
o
m
es
an
d
s
m
ar
t
g
r
id
s
ar
e
d
ef
in
ed
.
T
h
e
r
eq
u
ir
em
e
n
t
o
f
p
o
wer
m
a
n
ag
e
m
en
t
in
s
u
ch
a
b
u
s
y
n
etwo
r
k
with
p
o
wer
u
tili
za
tio
n
is
ex
p
lo
r
ed
u
s
in
g
d
em
a
n
d
-
r
esp
o
n
s
e
-
b
ased
m
eth
o
d
s
.
T
h
e
s
ch
ed
u
lin
g
b
e
h
av
io
r
an
d
c
r
iticality
o
f
th
e
p
o
wer
d
is
tr
ib
u
tio
n
en
v
ir
o
n
m
en
t
a
r
e
d
is
cu
s
s
ed
in
th
is
s
ec
tio
n
.
I
n
s
ec
tio
n
2
,
v
ar
i
o
u
s
s
ch
ed
u
lin
g
an
d
d
em
an
d
-
s
id
e
m
an
ag
em
e
n
t
-
b
ased
m
eth
o
d
s
in
v
esti
g
ated
b
y
ea
r
lier
r
esear
c
h
er
s
ar
e
p
r
o
v
id
ed
.
T
h
e
co
n
tr
ib
u
tio
n
an
d
is
s
u
es
id
en
tifie
d
in
t
h
e
ea
r
lier
r
esear
ch
ar
e
d
is
cu
s
s
ed
in
th
is
s
ec
tio
n
.
I
n
s
ec
tio
n
3
,
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
d
ef
in
ed
a
n
d
p
r
o
v
id
ed
.
T
h
e
ch
ar
ac
ter
is
tics
an
d
b
e
h
av
io
r
o
f
th
e
p
r
o
p
o
s
ed
m
o
d
el
with
in
clu
d
e
d
wo
r
k
s
t
ag
es
is
d
ef
in
ed
.
I
n
s
ec
tio
n
4
,
th
e
s
im
u
latio
n
an
d
co
m
p
ar
ativ
e
r
esu
lts
g
en
e
r
ated
to
v
alid
ate
th
e
p
e
r
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
m
o
d
el
ar
e
p
r
o
v
id
ed
.
T
h
e
co
n
clu
s
io
n
an
d
f
u
tu
r
e
s
co
p
e
o
f
th
is
wo
r
k
ar
e
p
r
o
v
i
d
ed
in
s
ec
t
io
n
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
6
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6
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6480
2.
RE
L
AT
E
D
WO
RK
Po
wer
u
s
ag
e
o
p
tim
izatio
n
an
d
m
an
ag
e
m
en
t
is
a
cr
itical
ch
allen
g
e
in
s
m
ar
t
g
r
id
an
d
s
m
ar
t
h
o
m
e
en
v
ir
o
n
m
en
ts
.
Var
io
u
s
r
eso
u
r
ce
allo
ca
tio
n
an
d
s
ch
ed
u
lin
g
m
eth
o
d
s
wer
e
p
r
o
p
o
s
ed
an
d
i
m
p
r
o
v
e
d
to
o
b
tain
g
ain
in
th
e
r
eliab
ilit
y
an
d
ef
f
ec
tiv
en
ess
o
f
s
m
ar
t
h
o
m
es.
I
n
th
is
s
ec
tio
n
,
th
e
wo
r
k
p
r
o
v
id
ed
b
y
th
e
ea
r
lier
r
esear
ch
er
s
is
p
r
o
v
id
e
d
a
n
d
d
is
cu
s
s
ed
.
T
h
e
c
h
allen
g
es
a
n
d
co
n
tr
ib
u
tio
n
s
o
f
th
e
wo
r
k
is
d
is
cu
s
s
ed
in
th
is
s
ec
tio
n
.
An
in
ter
n
et
o
f
th
in
g
s
(
I
o
T
)
b
ased
p
o
wer
m
o
n
ito
r
in
g
ap
p
r
o
ac
h
to
s
m
ar
t
g
r
id
o
p
tim
izatio
n
was
s
u
g
g
ested
b
y
K
h
an
et
a
l.
[
1
0
]
.
T
h
e
e
n
v
ir
o
n
m
en
t'
s
p
o
wer
n
ee
d
s
an
d
lo
a
d
s
tatu
s
wer
e
d
et
er
m
in
ed
u
s
in
g
th
is
m
o
n
ito
r
in
g
ap
p
r
o
ac
h
.
I
n
o
r
d
er
to
d
eter
m
in
e
th
e
lo
ad
an
d
p
e
ak
lo
ad
s
ce
n
ar
io
s
,
th
e
r
ea
l
-
ti
m
e
lim
itatio
n
s
wer
e
s
et.
R
ed
u
cin
g
p
o
wer
d
u
es
an
d
en
er
g
y
u
s
ag
e
is
as
ea
s
y
as
ap
p
ly
in
g
th
e
d
ec
is
io
n
-
d
r
iv
en
p
r
o
ce
d
u
r
e
wh
en
th
e
p
ar
am
eter
s
ar
e
s
et
u
p
.
B
y
co
m
b
in
in
g
clo
u
d
a
n
d
f
o
g
co
m
p
u
tin
g
,
R
ah
m
an
et
a
l.
[
1
1
]
wer
e
ab
le
to
d
esig
n
an
d
s
et
u
p
a
m
icr
o
g
r
id
.
T
h
e
c
o
m
p
o
n
e
n
ts
wer
e
in
ten
d
ed
t
o
b
e
co
n
n
ec
ted
e
f
f
ec
tiv
ely
with
m
in
im
u
m
en
e
r
g
y
co
n
s
u
m
p
tio
n
b
y
th
e
f
r
am
ew
o
r
k
.
I
n
ad
d
itio
n
to
en
s
u
r
in
g
co
n
n
ec
tiv
ity
th
r
o
u
g
h
n
u
m
er
o
u
s
s
o
u
r
ce
s
,
th
e
d
ev
elo
p
e
d
f
r
am
ewo
r
k
ca
n
r
ed
u
ce
en
er
g
y
co
n
s
u
m
p
tio
n
.
T
h
e
g
o
al
o
f
d
ef
in
i
n
g
th
e
clu
s
ter
in
g
-
b
ased
s
tr
ateg
y
was
to
in
cr
ea
s
e
p
o
wer
u
tili
za
tio
n
b
y
class
if
y
in
g
c
u
s
to
m
er
s
.
I
n
o
r
d
er
to
tr
ac
k
en
er
g
y
u
s
e
an
d
d
eter
m
in
e
in
d
i
v
id
u
al
u
s
er
s
'
p
o
wer
n
ee
d
s
,
a
s
m
ar
t
m
eter
was
in
s
talled
in
th
e
s
u
r
r
o
u
n
d
in
g
ar
ea
.
Fo
r
ef
f
ic
ien
t
d
is
tr
ib
u
tio
n
o
f
r
eso
u
r
ce
s
,
th
e
o
p
tim
ized
b
u
b
b
le
s
o
r
t
was
em
p
lo
y
e
d
.
T
im
e
t
o
allo
ca
te
r
eso
u
r
ce
s
,
tim
e
to
r
esp
o
n
d
,
an
d
en
e
r
g
y
u
s
e
wer
e
all
cu
t
d
o
wn
b
y
th
e
s
u
g
g
ested
tech
n
i
q
u
e.
I
n
th
e
ir
d
ef
in
itio
n
o
f
f
o
g
co
m
p
u
tin
g
-
b
ased
s
m
ar
t
g
r
id
ar
ch
itectu
r
e,
Me
h
m
o
o
d
et
a
l.
[
1
2
]
aim
ed
t
o
a
d
d
r
ess
r
ea
l
-
wo
r
ld
o
v
e
r
lo
ad
s
ce
n
ar
io
s
.
T
h
ey
h
an
d
led
u
n
ev
e
n
l
o
ad
co
n
d
itio
n
s
b
y
im
p
lem
e
n
tin
g
th
e
Od
d
s
,
T
h
r
o
ttled
,
an
d
r
o
u
n
d
-
r
o
b
i
n
alg
o
r
ith
m
s
.
T
h
e
wo
r
k
'
s
s
tated
s
ch
ed
u
lin
g
s
tr
ateg
ies
en
h
an
ce
d
r
eso
u
r
ce
u
tili
za
tio
n
.
T
h
e
r
esu
lts
o
f
t
h
e
in
v
esti
g
atio
n
d
em
o
n
s
tr
ate
th
at
th
e
s
u
g
g
ested
f
r
am
ewo
r
k
s
u
cc
ess
f
u
lly
d
ec
r
e
ased
p
r
o
ce
s
s
in
g
a
n
d
r
esp
o
n
s
e
tim
e.
E
v
e
n
wh
e
n
f
ac
e
d
with
a
h
ea
v
y
wo
r
k
lo
ad
,
th
e
s
u
g
g
ested
s
o
lu
tio
n
m
an
ag
e
d
to
ac
h
iev
e
ef
f
ec
tiv
e
r
esp
o
n
s
e
an
d
p
r
o
ce
s
s
in
g
tim
es.
T
o
ad
d
r
ess
th
e
is
s
u
e
o
f
u
n
e
v
en
lo
ad
i
n
a
s
m
ar
t
g
r
id
s
et
tin
g
,
Z
af
ar
et
a
l.
[
1
3
]
em
p
l
o
y
ed
a
b
at
alg
o
r
ith
m
.
W
ith
th
e
g
o
al
o
f
ef
f
icien
t
r
eso
u
r
ce
allo
ca
tio
n
i
n
m
in
d
,
a
p
o
licy
f
o
r
s
er
v
ice
b
r
o
k
er
s
was
f
o
r
m
u
lated
.
An
alg
o
r
ith
m
th
at
h
as b
ee
n
s
u
g
g
ested
en
h
an
ce
d
s
m
ar
t g
r
id
r
eso
u
r
ce
s
ch
ed
u
lin
g
a
n
d
allo
ca
t
io
n
th
r
o
u
g
h
th
e
u
s
e
o
f
ac
tiv
e
v
i
r
tu
al
m
ac
h
i
n
e
lo
ad
b
alan
cin
g
.
B
y
in
teg
r
atin
g
with
ex
is
tin
g
lo
ad
-
b
alan
cin
g
alg
o
r
ith
m
s
,
th
e
s
u
g
g
ested
m
eth
o
d
p
r
o
d
u
ce
d
th
e
d
esire
d
r
esu
lt.
I
s
m
ail
et
a
l.
[
1
4
]
im
p
r
o
v
e
s
m
ar
t
g
r
id
ef
f
icien
cy
u
n
d
er
ex
t
r
em
e
lo
ad
co
n
d
itio
n
s
b
y
in
cl
u
d
in
g
a
b
ee
c
o
lo
n
y
o
p
tim
izatio
n
m
eth
o
d
in
a
lo
a
d
b
alan
cin
g
s
y
s
tem
.
Fo
g
r
eso
u
r
ce
o
p
tim
izatio
n
was
th
e
g
o
al
o
f
t
h
e
m
eth
o
d
'
s
d
ef
in
itio
n
.
Par
ticl
e
s
war
m
o
p
tim
izatio
n
th
r
o
ttled
,
an
d
r
o
u
n
d
-
r
o
b
in
wer
e
th
e
alg
o
r
ith
m
s
th
at
th
e
m
o
d
el
was
test
ed
ag
ain
s
t.
I
n
co
m
p
ar
is
o
n
to
p
r
io
r
tech
n
iq
u
es
,
th
e
p
r
o
ce
s
s
in
g
an
d
r
ea
ctio
n
tim
es
f
o
r
jo
b
e
x
ec
u
ti
o
n
wer
e
e
n
h
an
ce
d
.
A
p
r
io
r
ity
-
d
r
iv
en
a
p
p
r
o
ac
h
to
tr
ac
k
in
g
a
n
d
m
an
a
g
in
g
en
er
g
y
u
s
e
in
s
m
ar
t
g
r
id
s
ettin
g
s
wa
s
in
tr
o
d
u
ce
d
b
y
B
ar
m
an
et
a
l.
[
1
5
]
.
I
t
was
th
e
en
v
ir
o
n
m
en
t'
s
s
m
ar
t
m
eter
s
th
at
co
llected
th
e
d
ata.
I
n
a
h
ea
v
y
lo
ad
s
ce
n
ar
io
,
th
e
s
u
g
g
este
d
s
o
lu
tio
n
en
h
a
n
ce
d
p
er
f
o
r
m
an
ce
wh
ile
r
e
d
u
cin
g
en
er
g
y
u
s
ag
e.
A
m
o
n
ito
r
in
g
an
d
co
n
tr
o
llin
g
s
y
s
tem
was
s
u
g
g
ested
b
y
Priy
ad
h
ar
s
h
in
i
et
a
l.
[
1
6
]
to
ad
d
r
es
s
th
e
is
s
u
e
o
f
ex
ce
s
s
iv
e
en
e
r
g
y
u
s
ag
e
i
n
th
e
s
m
ar
t
g
r
id
.
I
n
o
r
d
e
r
to
m
an
ag
e
e
n
er
g
y
co
n
s
u
m
p
tio
n
,
th
e
f
r
am
ewo
r
k
was
b
u
ilt
f
o
r
d
esig
n
i
n
g
I
o
T
-
b
ase
d
en
v
ir
o
n
m
en
ts
.
T
h
is
r
esear
c
h
d
ef
in
ed
a
p
p
lian
ce
-
b
ased
lo
ad
m
o
n
ito
r
i
n
g
an
d
tr
ac
k
in
g
.
Ov
er
l
o
ad
p
r
o
b
lem
s
wer
e
ef
f
ec
tiv
ely
h
an
d
le
d
b
y
th
e
p
r
o
p
o
s
ed
s
tr
ateg
y
.
T
o
p
r
ed
ict
an
d
f
o
r
ec
ast
lo
ad
s
,
R
aju
an
d
L
a
x
m
i
[
1
7
]
d
ev
elo
p
ed
a
m
eth
o
d
th
at
r
elies
o
n
m
ac
h
in
e
lear
n
in
g
.
I
n
th
is
s
ettin
g
,
th
e
au
th
o
r
u
s
ed
a
n
u
m
b
er
o
f
m
ac
h
i
n
e
-
le
ar
n
in
g
m
eth
o
d
s
.
Am
o
n
g
th
es
e
m
eth
o
d
s
ar
e
th
e
f
o
llo
win
g
:
en
s
em
b
le
b
o
o
s
ted
r
eg
r
ess
io
n
,
f
in
e
tr
ee
r
eg
r
ess
io
n
,
g
a
u
s
s
ian
p
r
o
ce
s
s
r
eg
r
ess
io
n
,
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e,
an
d
en
s
em
b
le
b
ag
g
e
d
r
eg
r
ess
io
n
.
T
h
e
r
esu
lts
o
f
t
h
e
in
v
esti
g
atio
n
s
h
o
wed
th
at
th
e
p
r
o
p
o
s
ed
m
eth
o
d
im
p
r
o
v
e
d
p
r
ed
ictio
n
ac
c
u
r
ac
y
wh
ile
d
ec
r
ea
s
in
g
t
h
e
er
r
o
r
r
at
e.
T
h
e
t
h
r
ee
-
tier
d
esig
n
was
e
n
h
an
ce
d
b
y
R
ab
ie
et
a
l.
[
1
8
]
b
y
th
e
in
co
r
p
o
r
atio
n
o
f
a
lo
ad
f
o
r
ec
asti
n
g
ap
p
r
o
ac
h
in
to
th
e
en
v
ir
o
n
m
en
t.
Du
r
in
g
th
e
p
r
e
-
p
r
o
ce
s
s
in
g
s
tep
,
th
e
ap
p
r
o
ac
h
was
u
s
ed
to
d
etec
t
th
e
lo
ad
c
o
n
d
itio
n
e
ar
ly
o
n
.
Af
te
r
th
e
lo
ad
h
ad
b
e
en
d
etec
ted
,
p
r
ev
en
tativ
e
m
ea
s
u
r
es
wer
e
tak
en
to
m
o
d
if
y
th
e
lo
a
d
co
n
d
itio
n
an
d
en
h
an
ce
th
e
s
m
ar
t
g
r
id
n
et
wo
r
k
'
s
p
er
f
o
r
m
an
ce
.
L
ar
g
e
a
m
o
u
n
ts
o
f
d
ata
ar
e
p
r
esen
t
in
t
h
e
s
y
s
tem
,
an
d
th
e
m
o
d
el
was
cr
ea
ted
o
n
to
p
o
f
a
f
o
g
ar
ch
itectu
r
e
.
T
h
e
clo
u
d
d
ata
ce
n
ter
was
th
e
s
o
u
r
ce
o
f
th
e
d
ata
co
llectio
n
.
T
h
is
m
o
d
el
u
s
ed
th
e
f
iltra
tio
n
ap
p
r
o
ac
h
i
n
th
e
p
r
e
-
p
r
o
ce
s
s
in
g
s
tag
e
to
p
r
ev
e
n
t
o
u
tlier
s
.
Af
ter
war
d
,
th
e
lo
ad
co
n
d
itio
n
was
d
eter
m
in
ed
b
y
ap
p
ly
in
g
a
p
r
e
d
ictio
n
alg
o
r
ith
m
to
th
e
id
e
n
tifie
d
ef
f
ec
tiv
e
d
ata
p
r
o
ce
s
s
in
g
ch
ar
ac
ter
is
tics
.
T
o
d
eter
m
in
e
wh
ic
h
f
ea
tu
r
es we
r
e
m
o
s
t im
p
o
r
tan
t,
we
u
s
ed
a
f
ea
tu
r
e
s
elec
tio
n
an
d
r
an
k
i
n
g
alg
o
r
ith
m
.
As
a
last
s
tep
,
we
u
s
ed
th
e
o
p
tim
izatio
n
tech
n
i
q
u
e
t
o
m
a
k
e
th
e
s
y
s
tem
m
o
r
e
r
eliab
le
an
d
ef
f
icien
t.
T
h
e
s
u
g
g
ested
m
o
d
el
in
c
r
ea
s
ed
th
e
p
r
ed
ictio
n
r
ate
an
d
en
h
an
ce
d
th
e
ac
cu
r
ac
y
o
f
lo
a
d
p
r
ed
ictio
n
,
ac
c
o
r
d
i
n
g
to
t
h
e
co
m
p
ar
is
o
n
s
tu
d
y
.
An
ad
d
itio
n
al
ad
ap
tiv
e
ap
p
r
o
ac
h
to
e
n
h
an
ci
n
g
s
m
ar
t
g
r
id
in
f
r
astru
ctu
r
e
s
er
v
ice
was
p
u
t
o
u
t
b
y
Yu
et
a
l.
[
1
9
]
.
Fu
n
ctio
n
al
b
e
h
av
io
r
,
d
ev
ice
c
o
n
s
u
m
p
tio
n
,
a
n
d
o
b
ject
u
tili
za
tio
n
in
th
e
en
v
i
r
o
n
m
en
t
m
ay
all
b
e
m
an
ag
ed
with
th
e
tech
n
iq
u
e
th
at
was
d
ev
elo
p
e
d
.
T
h
is
wo
r
k
s
u
cc
ess
f
u
lly
u
tili
ze
d
r
eso
u
r
ce
s
.
I
n
th
o
s
e
e
f
f
o
r
ts
,
th
e
m
an
ag
em
en
t
lay
er
was
im
p
lem
en
ted
to
s
tu
d
y
th
e
ac
tio
n
s
o
f
v
a
r
io
u
s
d
e
v
ices
an
d
r
eso
u
r
ce
s
.
Mo
d
if
y
in
g
th
e
g
r
id
'
s
p
o
wer
d
is
tr
ib
u
tio
n
r
eq
u
ir
ed
th
e
in
clu
s
io
n
o
f
s
ess
io
n
-
s
p
ec
if
ic
an
aly
s
is
.
Du
r
in
g
b
u
s
y
tim
es,
th
e
s
u
g
g
ested
ap
p
r
o
ac
h
p
r
o
d
u
ce
d
th
e
d
esire
d
o
u
tco
m
es.
T
h
e
au
t
h
o
r
f
aile
d
to
s
p
ec
if
y
t
h
e
p
r
ev
io
u
s
lo
a
d
co
n
d
itio
n
.
As
an
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alter
n
ativ
e,
th
e
en
v
ir
o
n
m
en
t'
s
s
er
v
ice
allo
ca
tio
n
an
d
p
r
o
ce
s
s
in
g
wer
e
o
p
tim
ized
th
r
o
u
g
h
th
e
u
s
e
o
f
d
e
m
an
d
-
d
r
iv
en
m
ap
p
in
g
.
T
o
au
to
m
ate
f
u
n
ctio
n
al
c
o
n
tr
o
l
in
a
s
m
ar
t g
r
id
s
ettin
g
,
Par
ash
ar
a
n
d
Par
as
h
ar
[
2
0
]
o
f
f
er
e
d
an
ar
tific
ial
in
tellig
en
t
(
AI
)
b
ased
ap
p
r
o
ac
h
.
T
h
r
o
u
g
h
th
e
u
s
ag
e
o
f
s
m
ar
t
m
eter
s
,
th
e
u
s
er
'
s
ac
tiv
ity
m
ig
h
t
b
e
m
o
n
ito
r
ed
an
d
r
ec
o
r
d
ed
in
t
h
e
I
o
T
s
y
s
tem
.
Ov
er
s
ev
e
r
al
tim
e
in
ter
v
als,
we
wer
e
ab
le
to
d
eter
m
in
e
wh
eth
e
r
th
e
elec
tr
icity
u
s
e
was
r
ea
s
o
n
ab
le.
E
n
v
ir
o
n
m
en
tal
ac
co
u
n
ta
b
ilit
y
an
d
d
ep
e
n
d
ab
ilit
y
wer
e
b
o
th
en
h
an
ce
d
b
y
th
e
s
tr
ateg
y
.
I
n
o
r
d
er
to
im
p
r
o
v
e
e
n
er
g
y
m
an
ag
em
e
n
t
a
n
d
s
o
u
r
ce
ap
p
r
o
p
r
iatio
n
,
Pa
war
an
d
Vittal
[
2
1
]
in
tr
o
d
u
ce
d
an
im
p
r
o
v
ed
I
o
T
b
ased
ar
ch
itectu
r
e
f
o
r
s
m
ar
t
g
r
id
en
v
i
r
o
n
m
e
n
ts
.
Fin
d
in
g
th
e
c
u
s
to
m
er
'
s
p
r
ef
er
r
e
d
m
eth
o
d
o
f
d
ea
lin
g
with
th
e
l
o
ad
is
s
u
e
led
to
th
e
d
e
f
in
itio
n
o
f
th
e
ef
f
ec
tiv
e
co
n
tr
o
ller
.
I
n
o
r
d
er
to
im
p
r
o
v
e
en
er
g
y
m
an
a
g
em
en
t,
th
e
en
v
ir
o
n
m
en
t
s
p
ec
if
ied
th
e
c
o
n
s
tr
ain
t
p
ar
tic
u
lar
lim
it.
I
m
p
r
o
v
in
g
th
e
s
tr
u
ctu
r
e'
s
au
th
en
ticity
an
d
p
er
f
o
r
m
a
n
ce
was th
e
g
o
al
o
f
t
h
e
co
s
t o
p
tim
i
za
tio
n
s
tr
ateg
y
.
B
an
at
an
d
Al
-
Qu
d
ah
[
2
2
]
p
r
o
p
o
s
ed
an
ed
g
e
-
e
n
ab
led
s
m
ar
t
city
ar
ch
itectu
r
e
to
s
u
p
p
o
r
t
th
e
tr
an
s
p
o
r
tatio
n
a
n
d
h
ea
lth
ca
r
e
d
o
m
ain
s
.
A
p
r
io
r
ity
ad
a
p
tiv
e
s
ch
ed
u
lin
g
alg
o
r
ith
m
was
u
s
ed
to
o
p
tim
ize
th
e
m
ax
im
u
m
an
d
m
ea
n
waitin
g
tim
e.
Pre
m
alath
a
an
d
Pra
k
a
s
am
[
2
3
]
p
r
esen
ted
a
n
o
p
tim
al
en
er
g
y
-
ef
f
icien
t
r
eso
u
r
ce
allo
ca
tio
n
m
o
d
el
to
i
d
en
tify
t
h
e
f
a
u
lt
an
d
to
p
er
f
o
r
m
m
in
im
u
m
co
s
t
r
eso
u
r
ce
all
o
ca
tio
n
in
I
o
T
-
Fo
g
co
m
p
u
tin
g
n
etwo
r
k
s
.
T
h
is
m
o
d
el
im
p
r
o
v
ed
th
e
r
esp
o
n
s
e
ti
m
e
with
a
h
ig
h
f
a
u
lt
d
etec
tio
n
r
ate.
Sh
ar
i
f
et
a
l.
[
2
4
]
p
r
o
p
o
s
ed
a
r
eso
u
r
ce
r
e
q
u
ir
em
en
t
-
b
ased
p
r
io
r
ity
ad
ap
t
iv
e
m
o
d
el
f
o
r
o
p
tim
izin
g
r
es
o
u
r
ce
u
tili
za
tio
n
in
m
o
b
ile
ed
g
e
co
m
p
u
tin
g
.
T
h
e
p
r
io
r
ity
-
b
ased
r
eso
u
r
ce
allo
c
atio
n
m
eth
o
d
im
p
r
o
v
e
d
th
e
e
f
f
ec
tiv
en
ess
u
n
d
e
r
laten
cy
,
r
eso
u
r
ce
u
s
ag
e,
e
n
er
g
y
co
n
s
u
m
p
tio
n
,
a
n
d
r
esp
o
n
s
e
tim
e
p
ar
am
eter
s
.
3.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
s
m
ar
t
h
o
m
e
ad
ap
tatio
n
is
ab
o
u
t
to
o
p
tim
ize
p
o
wer
u
s
ag
e
an
d
c
o
n
s
u
m
p
tio
n
in
r
esid
en
tial
s
ce
n
ar
io
s
.
T
h
e
s
m
ar
t
g
r
id
is
r
esp
o
n
s
ib
le
f
o
r
f
u
lf
illi
n
g
th
e
p
o
wer
d
em
a
n
d
s
an
d
its
d
is
tr
ib
u
tio
n
o
v
er
s
o
ciety
.
T
h
e
s
m
ar
t
h
o
m
e
is
th
e
c
o
n
s
u
m
er
en
d
th
at
g
e
n
er
ates
th
e
p
o
wer
r
eq
u
ests
r
esp
ec
tiv
e
to
all
its
ap
p
lian
ce
s
.
T
h
e
p
r
icin
g
s
ch
em
e
f
o
r
p
o
wer
u
s
ag
e
in
s
m
ar
t
h
o
m
es
is
f
lex
ib
le
an
d
d
y
n
a
m
ic.
I
t
m
ea
n
s
in
th
e
p
ea
k
tim
e;
th
e
co
s
t
ca
n
b
e
h
ig
h
er
.
B
ec
au
s
e
o
f
th
is
,
th
e
s
m
ar
t
u
s
ag
e
o
f
p
o
wer
is
r
eq
u
ir
ed
t
o
r
ed
u
ce
th
e
elec
tr
icit
y
b
ill
an
d
to
av
o
id
p
o
wer
f
ailu
r
es.
T
h
e
s
u
g
g
ested
alg
o
r
ith
m
'
s
g
o
al
is
to
o
p
tim
ize
p
o
wer
co
n
s
u
m
p
tio
n
wh
ile
also
r
ed
u
cin
g
p
o
we
r
o
u
tag
es.
T
h
e
g
o
al
o
f
th
e
wo
r
k
is
to
im
p
r
o
v
e
t
h
e
u
s
er
ex
p
er
ie
n
ce
an
d
f
in
is
h
u
s
er
r
e
q
u
ests
o
n
tim
e.
T
h
e
f
u
n
ctio
n
al
c
o
n
tr
ib
u
tio
n
o
f
th
is
wo
r
k
is
d
iv
id
e
d
in
t
o
tw
o
m
ain
s
tag
es
ca
lled
r
eso
u
r
ce
allo
ca
tio
n
an
d
r
eq
u
est
s
ch
ed
u
lin
g
.
I
n
th
e
f
ir
s
t
s
tag
e,
th
e
r
eso
u
r
ce
all
o
ca
tio
n
is
d
o
n
e
b
ased
o
n
p
r
ic
in
g
,
cr
iticality
,
an
d
d
em
an
d
-
d
r
iv
e
n
co
n
s
id
er
atio
n
s
.
T
h
is
ap
p
r
o
ac
h
d
eter
m
in
es
th
e
u
s
er
'
s
p
r
esen
t
p
o
wer
co
n
s
u
m
p
tio
n
in
r
elatio
n
t
o
th
e
av
ailab
le
r
eso
u
r
ce
s
.
T
h
e
a
llo
tm
en
t
o
f
r
eso
u
r
ce
s
is
d
ec
id
ed
u
p
o
n
b
ased
o
n
th
at.
T
h
e
l
o
ad
is
an
o
t
h
er
is
s
u
e
th
at
h
as
b
ee
n
f
o
u
n
d
in
th
is
wo
r
k
with
r
eg
ar
d
to
th
e
p
o
wer
al
lo
ca
tio
n
an
d
d
em
an
d
-
b
ased
s
y
s
tem
.
A
tim
e
s
lo
t'
s
lo
ad
is
its
g
r
ea
test
d
em
an
d
f
o
r
p
o
wer
.
I
n
a
h
ig
h
-
lo
ad
s
itu
at
io
n
,
d
em
an
d
is
m
o
r
e
th
an
e
x
p
ec
ted
d
em
an
d
.
T
o
m
an
ag
e
s
itu
atio
n
s
with
s
ev
er
e
lo
ad
s
an
d
p
r
ev
en
t
r
eso
u
r
ce
allo
ca
tio
n
f
ailu
r
es,
th
is
s
tu
d
y
d
ef
in
es
a
lo
ad
-
ad
ap
tab
le
tech
n
iq
u
e.
T
h
is
r
esear
ch
d
ef
in
es
a
lar
g
er
m
o
d
el,
as
s
ee
n
in
F
ig
u
r
e
2
.
I
n
o
r
d
er
to
o
p
tim
ize
s
ch
ed
u
lin
g
an
d
r
eso
u
r
ce
allo
c
atio
n
,
th
e
m
o
d
el
s
p
ec
if
ies th
e
m
o
d
el'
s
f
u
n
ctio
n
al
p
h
ases
.
Fig
u
r
e
2
.
Pro
p
o
s
ed
m
a
x
-
m
ax
alg
o
r
ith
m
f
o
r
d
ea
d
lin
e
an
d
cr
it
icality
o
p
tim
ized
d
em
a
n
d
r
esp
o
n
s
e
s
ch
ed
u
lin
g
T
h
e
two
p
r
im
a
r
y
s
tep
s
o
f
th
is
r
u
le
-
b
ased
ap
p
r
o
ac
h
ar
e
th
e
al
lo
ca
tio
n
o
f
r
eso
u
r
ce
s
an
d
th
e
p
r
ed
ictio
n
o
f
d
em
an
d
.
A
d
ata
a
n
aly
s
is
ap
p
r
o
ac
h
d
e
v
elo
p
ed
u
n
d
er
ce
r
tai
n
cr
iter
ia
an
d
p
a
r
am
eter
s
is
lo
ad
p
r
ed
ictio
n
.
I
n
a
s
m
ar
t
g
r
id
s
ettin
g
,
p
r
ed
ictin
g
th
e
lo
ad
is
th
e
g
o
al
o
f
th
is
p
h
ase.
I
n
th
is
s
tep
o
f
p
ar
am
eter
-
d
r
iv
en
an
aly
s
is
,
th
e
th
r
ee
p
r
im
a
r
y
p
ar
am
eter
s
ar
e
tak
en
in
t
o
ac
co
u
n
t
in
o
r
d
e
r
to
f
o
r
ec
ast
th
e
lo
ad
.
T
h
ese
f
ac
to
r
s
in
clu
d
e
th
e
cu
s
to
m
er
'
s
p
o
wer
co
n
s
u
m
p
tio
n
p
atter
n
,
t
h
e
p
r
esen
t
d
em
an
d
f
o
r
elec
tr
icity
,
an
d
th
e
p
ea
k
h
o
u
r
s
o
f
u
s
e.
Usi
n
g
th
ese
cr
iter
ia,
y
o
u
m
ay
p
in
p
o
in
t
wh
en
th
in
g
s
ar
e
ab
o
u
t
to
b
r
ea
k
d
o
wn
.
T
h
e
m
a
p
p
in
g
is
ex
ec
u
ted
u
s
in
g
th
e
ch
ar
ac
ter
is
tics
p
r
o
v
id
ed
b
y
th
e
p
r
o
v
id
e
r
o
n
ce
th
e
p
o
wer
n
ee
d
h
as
b
ee
n
an
ticip
ated
.
Du
r
in
g
o
f
f
-
p
ea
k
an
d
p
ea
k
h
o
u
r
s
,
th
ese
ch
a
r
ac
ter
is
tics
d
eter
m
in
e
th
e
co
s
t
a
n
d
av
aila
b
ilit
y
o
f
p
o
wer
.
I
n
o
r
d
e
r
to
d
etec
t
a
p
ea
k
lo
ad
co
n
d
itio
n
,
th
e
s
m
ar
t
m
eter
k
ee
p
s
tr
ac
k
o
f
all
o
f
th
ese
an
aly
tical
p
ar
am
eter
s
an
d
u
s
es
co
n
tr
o
ller
-
b
ased
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
6
4
7
8
-
6
4
8
5
6482
p
r
o
ce
s
s
in
g
.
T
h
is
ap
p
r
o
ac
h
d
etec
ts
th
e
lo
ad
s
tatu
s
an
d
av
o
id
s
p
o
wer
f
au
lts
an
d
d
elay
s
b
y
p
er
f
o
r
m
in
g
a
r
u
le
-
b
ased
m
ap
p
i
n
g
.
I
n
t
h
e
ev
e
n
t
o
f
a
g
r
id
f
ailu
r
e,
th
e
an
ticip
ated
lo
ad
-
b
ased
lo
ad
s
h
if
t
is
ex
ec
u
ted
.
I
n
a
s
m
ar
t g
r
i
d
s
ettin
g
,
th
e
r
eg
u
latio
n
s
ar
e
s
u
f
f
icien
t
to
o
p
tim
ize
p
o
wer
co
n
s
u
m
p
tio
n
an
d
d
is
tr
ib
u
tio
n
.
E
f
f
icien
t
r
eso
u
r
ce
allo
ca
tio
n
in
a
s
m
ar
t
g
r
id
s
ettin
g
is
n
o
w
p
o
s
s
ib
le
b
ec
au
s
e
o
f
th
e
n
ew
s
y
s
tem
's
ab
ilit
y
to
d
etec
t
n
etwo
r
k
f
ailu
r
es
an
d
ex
ce
s
s
iv
e
lo
ad
s
.
W
h
en
d
ec
id
in
g
wh
eth
er
o
r
n
o
t
to
tr
an
s
f
er
lo
ad
s
,
d
elay
an
d
o
th
er
r
elev
a
n
t
cir
cu
m
s
tan
ce
s
ar
e
tak
en
in
t
o
ac
co
u
n
t.
Alg
o
r
ith
m
1
s
h
o
ws
th
e
p
r
o
ce
s
s
o
f
r
eso
u
r
ce
allo
ca
tio
n
an
d
jo
b
s
ch
ed
u
lin
g
in
t
h
e
s
m
ar
t h
o
m
e
en
v
ir
o
n
m
en
t.
Alg
o
r
ith
m
1
.
A
m
ax
-
m
ax
b
ase
d
d
em
an
d
r
esp
o
n
s
e
o
p
tim
ized
task
s
ch
ed
u
lin
g
1.
Initialize the Internal and external Resources to perform Power management and
distribution
2.
Capture the available power, power rate and the actual
demand of power
3.
Initialize the Datacenter with smart home adaptation to the device
-
specific power
requirement and power usage history of an individual
3.
Define the number of requests generated by the user and number of available power
sources.
4.
ForEach request in
N_Requests
Begin
5.
Capture
request parameters
request.getTimeStamp()
,
request.Criticality()
,
request.Usage
6.
ForEach resource in
M_Resources
Begin
7.
Capture
power resource constraints
resource.Load()
,
resource.Price()
,
resource.Availability()
8.
Map the generated requests over the available resources under Max
-
Max Rule
9.
According to this, Allocate the highly critical request with minimum load resources and
MAX
available resources to ensure a low failure rate
10.
Allocate the less critical and high usage tasks to Medium Load and average price
resources
11.
Keep the task in a queue with least criticality and lesser usage and wait for the time
with lesser power cost for allocation
12.
If
wait_time>threshold
Allocate the process to
the resource with the least cost
End If
End
Alg
o
r
ith
m
1
p
r
o
v
i
d
es
th
e
d
e
tailed
p
r
o
ce
s
s
o
f
m
ax
-
m
ax
a
lg
o
r
ith
m
to
p
er
f
o
r
m
ef
f
ec
tiv
e
r
eso
u
r
ce
allo
ca
tio
n
an
d
s
ch
ed
u
lin
g
to
o
p
tim
ize
th
e
d
e
m
an
d
r
esp
o
n
s
e
s
ch
ed
u
lin
g
.
T
h
is
alg
o
r
ith
m
is
p
ar
am
etr
ic
an
d
r
eq
u
ir
es
th
e
an
al
y
s
is
o
f
r
eso
u
r
ce
co
n
s
tr
ain
ts
an
d
p
ar
am
ete
r
s
.
All
th
e
in
te
r
n
al
a
n
d
ex
ter
n
a
l
r
eso
u
r
ce
s
t
h
at
ar
e
in
v
o
lv
ed
in
t
h
e
p
o
wer
d
is
tr
ib
u
tio
n
a
n
d
s
ch
ed
u
lin
g
ar
e
a
n
aly
ze
d
a
n
d
i
n
itialized
in
th
i
s
wo
r
k
.
T
h
e
p
o
wer
av
ailab
ilit
y
d
etails
ar
e
co
llec
ted
in
ter
m
s
o
f
av
ailab
le
p
o
wer
,
p
o
wer
r
ate,
p
ea
k
lo
ad
,
an
d
p
ea
k
lo
ad
r
at
e
p
ar
am
eter
s
.
T
h
e
ac
t
u
al
p
o
wer
d
em
an
d
f
o
r
a
p
ar
ticu
lar
i
n
s
tan
ce
is
also
co
m
p
u
ted
.
All
th
ese
d
etails
ar
e
also
p
r
o
ce
s
s
ed
u
n
d
er
th
e
d
ata
ce
n
t
er
p
r
esen
t
in
th
e
s
m
ar
t
h
o
m
e
en
v
ir
o
n
m
en
t.
T
h
is
d
ata
ce
n
ter
co
n
tain
s
th
e
u
s
ag
e
h
is
to
r
y
o
f
e
q
u
ip
m
en
t
an
d
p
o
w
er
.
T
h
e
p
o
wer
r
e
q
u
ir
em
e
n
t
f
o
r
s
p
ec
if
ic
ap
p
lian
ce
s
is
also
av
ailab
le
in
th
is
d
ata
ce
n
ter
.
Af
ter
co
llectin
g
th
e
d
et
ails
o
f
p
o
wer
u
s
ag
e
b
eh
av
io
r
,
p
o
wer
r
eq
u
ir
em
en
t,
an
d
r
eso
u
r
ce
ca
p
ab
ilit
ies,
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
p
er
f
o
r
m
ed
o
v
er
it.
T
h
is
alg
o
r
ith
m
p
r
o
ce
s
s
ed
ea
ch
o
f
th
e
r
eq
u
ests
u
n
d
er
th
e
m
ax
-
m
ax
ap
p
r
o
ac
h
.
I
t
ca
p
tu
r
es
th
e
r
eq
u
est
co
n
s
tr
ain
ts
in
clu
d
in
g
th
e
ty
p
e
o
f
r
eq
u
est,
p
o
wer
r
eq
u
i
r
em
en
t,
an
d
p
o
wer
u
s
ag
e.
I
t
also
ac
q
u
ir
es
th
e
r
eso
u
r
ce
f
ea
tu
r
es
in
clu
d
in
g
p
r
ice
,
lo
ad
,
an
d
a
v
ailab
ilit
y
.
A
m
ax
-
m
ax
m
a
p
p
in
g
is
ap
p
lied
f
o
r
allo
ca
tin
g
th
e
r
eq
u
ests
to
d
if
f
er
en
t
r
eso
u
r
ce
s
.
A
h
ig
h
ly
c
r
itical
r
eq
u
est
is
allo
ca
ted
to
a
r
eso
u
r
ce
with
m
in
im
u
m
l
o
ad
a
n
d
m
a
x
i
m
u
m
av
ailab
ilit
y
.
T
h
is
m
ax
-
m
ax
m
ap
p
in
g
r
ed
u
ce
d
th
e
f
ai
lu
r
e
r
ate
f
o
r
c
r
itical
r
eq
u
ests
.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
s
ec
tio
n
,
a
c
o
m
p
ar
ativ
e
an
aly
s
is
o
f
th
e
wo
r
k
is
p
r
o
v
id
ed
ag
ain
s
t
s
o
m
e
co
n
v
en
tio
n
al
s
ch
ed
u
lin
g
an
d
r
eso
u
r
ce
allo
ca
tio
n
m
eth
o
d
s
.
T
h
ese
m
eth
o
d
s
in
clu
d
e
s
h
o
r
test
jo
b
f
ir
s
t,
f
ir
s
t
co
m
e
f
ir
s
t
s
er
v
e
[
2
5
]
,
lo
n
g
est
jo
b
f
ir
s
t,
d
em
an
d
r
esp
o
n
s
e
m
o
d
el
an
d
f
u
zz
y
b
ased
d
e
m
an
d
r
esp
o
n
s
e
m
o
d
el.
T
h
e
p
r
o
p
o
s
ed
an
d
th
e
co
n
v
en
tio
n
al
m
o
d
els
ar
e
s
im
u
lated
in
a
r
ea
l
-
tim
e
g
r
id
en
v
ir
o
n
m
e
n
t
with
a
s
p
ec
if
icatio
n
o
f
th
e
n
u
m
b
er
o
f
u
s
er
s
.
T
h
e
n
u
m
b
e
r
o
f
r
eso
u
r
ce
s
is
f
ix
ed
o
v
er
th
e
s
m
ar
t
h
o
m
e
an
d
s
m
ar
t
g
r
id
e
n
v
ir
o
n
m
en
t.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
im
p
lem
en
te
d
in
t
h
e
s
m
ar
t
h
o
m
e
e
n
v
ir
o
n
m
en
t
a
s
an
in
ter
m
ed
iate
lay
er
.
T
h
e
c
en
tr
alize
d
d
atab
ase,
an
d
s
m
ar
t
m
eter
d
ata
ar
e
a
v
ailab
le
to
it
to
m
ak
e
d
ec
is
io
n
s
a
b
o
u
t
e
f
f
ec
tiv
e
r
eso
u
r
ce
allo
ca
t
io
n
an
d
s
ch
e
d
u
lin
g
in
th
e
en
v
ir
o
n
m
en
t.
T
h
e
e
v
alu
atio
n
o
f
th
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
alg
o
r
ith
m
s
is
d
o
n
e
u
n
d
er
u
s
er
co
m
f
o
r
t,
p
o
wer
f
ailu
r
e
co
u
n
t,
an
d
av
er
a
g
e
task
s
witch
co
u
n
t
p
a
r
am
eter
s
.
T
h
e
f
ir
s
t
p
ar
am
eter
c
o
n
s
id
er
ed
f
o
r
ev
alu
atin
g
th
e
ef
f
ec
tiv
en
ess
o
f
m
ax
-
m
a
x
b
as
ed
d
em
an
d
s
ch
e
d
u
lin
g
a
n
d
r
es
o
u
r
ce
allo
ca
tio
n
alg
o
r
ith
m
.
A
v
er
ag
e
d
elay
is
also
d
ef
in
ed
as
u
s
er
co
m
f
o
r
t.
I
f
th
e
u
s
er
r
eq
u
est
g
ets
an
in
s
tan
t
r
esp
o
n
s
e,
th
en
it
is
c
o
n
s
id
er
ed
with
h
ig
h
e
r
u
s
er
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
C
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m
p
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N:
2088
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8
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ma
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6483
co
m
f
o
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I
f
th
e
r
esp
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s
e
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d
elay
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,
it
s
h
o
ws
th
at
th
e
a
v
e
r
ag
e
d
ela
y
is
in
cr
ea
s
in
g
.
Fig
u
r
e
3
p
r
o
v
id
es
th
e
av
er
ag
e
d
elay
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b
ased
co
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ar
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tiv
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alu
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th
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f
ig
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e
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th
e
n
u
m
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er
o
f
u
s
er
r
e
q
u
ests
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p
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o
v
id
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e
x
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d
th
e
y
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ep
r
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ts
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e
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er
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e
d
elay
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h
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f
i
g
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s
h
o
ws
th
at
th
e
av
er
ag
e
d
elay
o
b
tain
ed
f
o
r
1
0
u
s
er
s
is
0
.
5
4
3
s
ec
f
o
r
f
u
n
ct
io
n
al
s
tatu
s
s
ca
le
(
FS
S)
,
0
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5
3
9
f
o
r
s
h
o
r
test
jo
b
f
ir
s
t
(
SJ
F)
,
0
.
5
5
8
f
o
r
lo
n
g
est
jo
b
f
ir
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t
(
L
J
F)
,
0
.
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0
3
f
o
r
Dem
an
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R
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n
s
e
Me
th
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d
,
an
d
0
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4
8
9
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ec
f
o
r
f
u
zz
y
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b
ased
d
em
a
n
d
r
esp
o
n
s
e
m
eth
o
d
.
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h
e
r
esu
lts
s
h
o
w
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at
t
h
is
ap
p
r
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ac
h
ac
h
iev
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an
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f
ec
tiv
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r
e
q
u
est
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s
s
in
g
with
0
.
1
1
3
5
s
ec
av
er
ag
e
d
elay
.
Fo
r
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r
im
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t
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5
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eq
u
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,
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e
av
er
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e
wait
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tim
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o
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is
1
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1
8
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o
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FC
FS
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r
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f
o
r
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zz
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ased
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d
r
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s
e
m
eth
o
d
.
T
h
e
p
r
o
p
o
s
ed
m
ax
-
m
a
x
b
ased
d
em
an
d
r
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e
a
n
aly
s
is
m
eth
o
d
r
e
d
u
ce
d
th
e
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er
ag
e
d
elay
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d
claim
ed
0
.
4
6
7
s
ec
.
Fig
u
r
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3
.
Av
e
r
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e
d
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y
an
aly
s
is
An
o
th
er
p
ar
am
eter
c
o
n
s
id
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ed
in
th
is
wo
r
k
is
th
e
av
er
a
g
e
ta
s
k
s
witch
p
ar
am
eter
.
T
ask
s
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itch
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g
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o
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m
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etwe
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r
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ew
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r
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with
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r
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ig
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er
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er
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o
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ce
is
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ailab
le.
T
h
e
task
s
witch
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g
af
f
ec
ts
th
e
r
eliab
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y
o
f
th
e
wo
r
k
.
Fig
u
r
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4
s
h
o
ws
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e
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er
ag
e
task
s
witch
in
g
-
b
ased
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m
p
ar
ativ
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e
v
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.
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e
x
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in
th
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ch
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t
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ep
icts
th
e
n
u
m
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er
o
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er
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ests
,
wh
ile
th
e
y
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ax
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lects
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e
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.
T
h
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f
ig
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r
e
r
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r
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r
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eth
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o
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ased
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d
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e
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eth
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h
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f
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ased
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ased
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Fig
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
6
4
7
8
-
6
4
8
5
6484
An
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ask
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ailu
r
e
o
cc
u
r
s
if
th
e
task
is
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o
t
h
a
n
d
led
b
y
th
e
r
eso
u
r
c
e
with
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th
e
th
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esh
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ld
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er
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d
.
T
ask
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ailu
r
e
h
as
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im
p
ac
t
o
n
jo
b
d
e
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en
d
a
b
ilit
y
.
Fig
u
r
e
5
d
ep
icts
th
e
av
er
ag
e
task
f
ailu
r
e
-
b
ased
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o
m
p
a
r
ativ
e
ev
alu
atio
n
.
T
h
e
y
-
ax
is
r
e
p
r
esen
ts
th
e
av
er
ag
e
task
f
ailu
r
es.
T
h
e
f
i
g
u
r
e
s
h
o
ws
th
at
f
o
r
ten
u
s
er
s
,
th
e
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e
r
ag
e
task
f
ailu
r
e
r
ate
is
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.
2
3
%
f
o
r
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FS
,
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.
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8
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o
r
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F,
1
.
1
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o
r
L
J
F,
0
.
9
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o
r
d
em
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d
r
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e
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eth
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d
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o
r
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u
zz
y
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ased
d
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r
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e
m
eth
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d
.
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h
e
r
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lts
s
h
o
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th
a
t
th
e
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ec
o
m
m
e
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ed
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p
p
r
o
ac
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ed
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ce
d
t
h
e
av
er
a
g
e
f
ailu
r
e
r
ate
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d
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h
an
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le
r
eq
u
ests
with
an
av
e
r
a
g
e
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ailu
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e
r
ate
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%.
Fo
r
5
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e
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ests
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e
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ailu
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ate
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r
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8
.
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o
r
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F,
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.
3
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o
r
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J
F,
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o
r
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em
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r
e
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e
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eth
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n
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o
r
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zz
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ased
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r
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e
m
et
h
o
d
.
T
h
e
p
r
o
p
o
s
ed
m
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m
a
x
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ased
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em
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d
r
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o
n
s
e
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aly
s
is
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e
r
ed
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ce
d
av
er
ag
e
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to
4
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8
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Fig
u
r
e
5
.
Av
e
r
ag
e
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wer
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ailu
r
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an
aly
s
is
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CO
NCLU
SI
O
N
T
h
is
p
ap
er
ad
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r
ess
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e
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lk
o
f
p
o
wer
d
is
tr
ib
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tio
n
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if
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ic
u
lties
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y
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r
o
p
o
s
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r
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le
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ased
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ch
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g
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d
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tio
n
s
y
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tem
.
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h
e
r
ec
o
m
m
en
d
ed
m
o
d
el
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er
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es
as
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ter
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ed
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e
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i
n
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e
s
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ar
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o
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e
en
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ir
o
n
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en
t.
T
h
e
r
ec
o
m
m
en
d
ed
m
ax
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m
ax
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ased
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em
an
d
r
e
s
p
o
n
s
e
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lin
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ateg
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ily
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e
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to
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e
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er
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ad
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d
p
o
wer
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ailu
r
e
in
a
s
m
ar
t
h
o
m
e.
T
h
e
s
u
g
g
ested
m
o
d
el
ex
ten
d
s
th
e
d
em
an
d
r
esp
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n
s
e
m
ea
s
u
r
e
to
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clu
d
e
lo
ad
an
d
f
ailu
r
e
r
ate
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aly
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is
.
T
h
is
m
o
d
el
is
u
s
ed
in
a
r
ea
l
-
tim
e
co
n
tex
t
to
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r
o
ce
s
s
h
is
to
r
ical
in
f
o
r
m
atio
n
a
b
o
u
t
p
o
wer
u
s
e
in
th
e
en
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ir
o
n
m
en
t.
T
h
is
m
o
d
el
ca
p
tu
r
es
th
e
in
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o
r
m
atio
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ce
s
s
ib
le
f
r
o
m
th
e
r
eso
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r
ce
s
,
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tr
aliz
ed
d
atab
ase
in
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o
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atio
n
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d
cu
r
r
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n
t
r
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est
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ar
am
eter
s
.
T
h
e
co
n
tr
o
l
an
d
co
n
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ig
u
r
atio
n
u
n
it
ar
e
d
ef
i
n
ed
to
p
r
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ce
s
s
th
e
u
s
er
s
'
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ad
,
h
is
to
r
y
,
an
d
d
em
a
n
d
.
T
h
is
m
o
d
el
d
em
o
n
s
tr
ates
g
o
o
d
r
eso
u
r
ce
allo
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tio
n
an
d
s
ch
e
d
u
lin
g
.
T
h
e
s
u
g
g
ested
m
o
d
el
is
co
m
p
a
r
ed
t
o
tr
a
d
itio
n
al
FC
FS
,
SJ
F,
L
J
F,
d
em
an
d
r
esp
o
n
s
e,
an
d
f
u
zz
y
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ased
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e
m
an
d
r
esp
o
n
s
e
ap
p
r
o
ac
h
es.
T
h
e
av
er
ag
e
laten
cy
,
f
ailu
r
e
r
at
e,
an
d
task
-
s
witch
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g
f
ac
to
r
s
ar
e
all
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alu
ated
in
co
m
p
ar
is
o
n
.
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h
e
s
tu
d
y
f
in
d
in
g
s
o
b
tain
ed
ag
ain
s
t
th
ese
p
ar
am
eter
s
d
em
o
n
s
tr
ate
th
at
th
e
s
u
g
g
ested
m
o
d
el
lo
we
r
ed
th
e
av
e
r
ag
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d
elay
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ile
i
m
p
r
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f
o
r
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an
ce
in
a
s
m
ar
t h
o
m
e
c
o
n
tex
t
.
RE
F
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R
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NC
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1
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4
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man
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8
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0
2
4
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8
10
10
20
30
40
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P
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we
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Fai
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r
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fr
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re
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tern
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ll
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sb
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sa
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d
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r
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h
ta
k
.
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c
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in
.
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