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[
6
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.
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f
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[
7
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[
8
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.
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o
n
m
e
n
t
to
d
e
c
r
ea
s
e
th
e
co
m
p
u
tatio
n
co
s
t
a
n
d
o
v
er
h
ea
d
wh
en
co
m
p
ar
ed
with
lo
ca
l e
x
ec
u
tio
n
[
1
3
]
.
T
h
e
m
ajo
r
is
s
u
es
ar
is
e
f
r
o
m
th
e
f
lu
ctu
atio
n
s
o
f
d
e
v
ices
an
d
th
e
d
if
f
er
en
c
es
in
th
e
lo
ad
-
s
h
ar
in
g
r
eq
u
ir
em
e
n
ts
in
f
o
g
c
o
m
p
u
tin
g
en
v
i
r
o
n
m
e
n
ts
.
R
eso
u
r
ce
m
a
n
ag
em
en
t
ac
ti
v
ities
in
clu
d
in
g
lo
ad
b
alan
cin
g
to
f
ac
ilit
ies
b
ec
o
m
e
a
ch
allen
g
in
g
is
s
u
e
in
ce
r
tain
cir
cu
m
s
tan
ce
s
[
1
4
]
.
T
h
e
f
o
g
c
o
m
p
u
tin
g
in
f
r
astru
ctu
r
e
is
s
u
s
tain
ed
in
s
m
ar
t
cities
with
th
e
h
ig
h
p
r
o
ce
s
s
in
g
r
e
q
u
ir
em
e
n
t
an
d
th
e
r
elativ
ely
l
o
w
an
d
s
tead
y
laten
cy
t
h
at
is
ty
p
ical
o
f
I
o
T
ap
p
licatio
n
s
s
u
ch
as
tr
af
f
ic
m
o
n
ito
r
in
g
,
g
am
in
g
,
au
g
m
en
ted
r
ea
lity
,
tr
af
f
ic
c
o
n
tr
o
l
an
d
m
an
ag
em
en
t,
en
v
ir
o
n
m
e
n
tal
s
en
s
in
g
,
an
d
p
u
b
lic
s
u
r
v
eillan
ce
[
1
5
]
.
T
h
ese
ap
p
licatio
n
s
at
th
e
s
en
s
o
r
lay
er
p
r
o
d
u
ce
en
o
r
m
o
u
s
v
o
lu
m
es
o
f
d
ata
s
u
ch
as
v
id
eo
f
r
am
e
s
th
at
m
u
s
t
b
e
p
r
o
ce
s
s
ed
b
y
a
f
o
g
n
o
d
e
wh
ic
h
in
v
o
lv
es
co
m
p
u
tatio
n
s
.
Als
o
,
th
ese
ap
p
licatio
n
s
r
eq
u
ir
e
a
n
in
s
tan
tan
eo
u
s
r
esp
o
n
s
e
to
q
u
ick
ly
r
ea
ct
to
th
e
v
ar
y
in
g
cir
c
u
m
s
tan
ce
s
[
1
6
]
.
T
h
e
ex
tr
a
o
v
e
r
h
ea
d
o
f
d
ata
s
ch
ed
u
lin
g
,
p
r
o
ce
s
s
in
g
,
m
an
ag
em
en
t
an
d
o
r
g
an
izatio
n
o
n
f
o
g
n
o
d
es
ca
u
s
es
h
u
g
e
tim
e
an
d
ex
p
en
s
e
s
p
ec
if
ically
to
m
ain
tain
p
r
o
ce
s
s
ed
in
f
o
in
a
d
is
tr
ib
u
ted
n
etwo
r
k
[
1
7
]
.
T
h
e
co
m
p
lex
ity
i
n
cr
ea
s
es
wh
en
t
h
e
f
o
g
n
o
d
es
ar
e
im
p
lem
en
te
d
with
d
if
f
er
e
n
t
I
o
T
d
ev
ices
f
o
r
co
m
p
u
ted
o
u
ts
o
u
r
cin
g
[
1
8
]
.
Fu
r
th
e
r
m
o
r
e
,
p
r
o
b
l
em
s
ar
is
e
with
th
e
p
r
o
tectio
n
o
f
d
ata
tr
an
s
m
is
s
io
n
d
u
r
in
g
in
f
o
r
m
atio
n
e
x
ch
an
g
e
an
d
ex
is
tin
g
s
to
r
ed
in
f
o
r
m
atio
n
in
ter
m
s
o
f
d
ata
s
ec
u
r
ity
a
n
d
p
r
iv
ac
y
[
1
9
]
.
T
h
e
m
ain
co
n
tr
ib
u
tio
n
s
o
f
th
is
r
esear
ch
ar
e:
i)
T
h
is
r
esear
ch
p
r
esen
ts
a
b
lo
ck
ch
ain
-
b
ased
f
o
g
co
m
p
u
tin
g
f
r
am
ewo
r
k
to
en
a
b
le
s
ec
u
r
e
co
m
p
u
tatio
n
o
f
f
lo
ad
i
n
g
f
o
r
I
o
T
a
p
p
licatio
n
s
.
T
h
e
b
lo
c
k
ch
ain
e
n
s
u
r
es
d
at
a
in
teg
r
ity
,
a
u
th
en
ticatio
n
an
d
tr
ac
ea
b
ilit
y
o
f
o
f
f
lo
ad
i
n
g
tr
an
s
ac
tio
n
s
wh
ile
m
ain
tain
in
g
Qo
S
r
eq
u
ir
e
m
en
t
s
th
er
eb
y
m
ain
tain
in
g
laten
cy
-
s
en
s
itiv
e
an
d
r
eso
u
r
ce
co
n
s
tr
ain
ed
f
o
g
en
v
ir
o
n
m
en
ts
.
ii)
D
iv
er
s
ity
m
u
tatio
n
with
s
ib
er
ian
tig
er
o
p
tim
izatio
n
(
DM
-
S
T
O)
alg
o
r
it
h
m
is
p
r
o
p
o
s
ed
to
o
p
tim
ize
task
o
f
f
lo
ad
i
n
g
d
ec
is
io
n
s
am
o
n
g
m
o
b
ile
d
ev
ices
an
d
f
o
g
s
er
v
er
s
.
T
h
e
alg
o
r
ith
m
e
f
f
ec
t
iv
ely
b
alan
ce
s
wo
r
k
lo
ad
s
th
r
o
u
g
h
co
n
s
id
er
in
g
d
y
n
a
m
ic
n
etwo
r
k
co
n
d
itio
n
s
an
d
h
eter
o
g
en
e
o
u
s
f
o
g
r
eso
u
r
ce
s
.
iii)
T
h
e
in
teg
r
atio
n
o
f
d
iv
er
s
ity
m
u
tatio
n
en
h
an
ce
s
th
e
e
x
p
lo
r
atio
n
ca
p
ab
ilit
y
o
f
th
e
s
ib
er
ian
tig
er
o
p
tim
izatio
n
(
STO
)
alg
o
r
ith
m
an
d
m
itig
ates
p
r
em
atu
r
e
co
n
v
er
g
en
ce
.
As
a
r
esu
lt,
th
e
DM
-
STO
ac
h
iev
es
less
ex
ec
u
tio
n
tim
e
an
d
en
e
r
g
y
c
o
n
s
u
m
p
tio
n
,
th
e
s
im
u
la
tio
n
r
esu
lts
v
alid
ate
th
e
ef
f
ec
tiv
en
ess
o
f
DM
-
STO
u
n
d
er
d
i
f
f
er
en
t
I
o
T
wo
r
k
lo
ad
s
.
T
h
is
r
esear
ch
is
o
r
g
a
n
ized
as
f
o
llo
w
s.
Sectio
n
2
an
aly
ze
s
t
h
e
r
elate
d
wo
r
k
.
Sectio
n
3
ex
p
lain
s
th
e
p
r
o
p
o
s
ed
m
eth
o
d
f
o
r
c
o
m
p
u
t
atio
n
al
o
f
f
l
o
ad
in
g
.
Sectio
n
4
p
r
o
v
id
es
r
esu
lts
an
d
d
is
cu
s
s
io
n
,
L
astl
y
,
s
ec
tio
n
5
p
r
o
v
id
es th
e
co
n
clu
s
io
n
o
f
t
h
is
r
esear
ch
p
ap
e
r
.
2.
RE
L
AT
E
D
WO
RK
S
R
ec
en
tly
,
an
ex
ten
s
iv
e
n
u
m
b
er
o
f
s
tu
d
ies,
in
clu
d
in
g
n
u
m
e
r
o
u
s
f
r
am
ewo
r
k
s
an
d
m
o
d
els
h
av
e
b
ee
n
d
ev
elo
p
e
d
o
n
co
m
p
u
tatio
n
a
l
o
f
f
lo
a
d
in
g
in
f
o
g
e
n
v
ir
o
n
m
en
ts
wh
ich
a
r
e
an
al
y
ze
d
in
t
h
is
s
ec
tio
n
.
Alam
et
a
l
.
[
2
0
]
s
u
g
g
ested
a
d
ee
p
r
ein
f
o
r
ce
m
e
n
t
lear
n
in
g
(
DR
L
)
ap
p
r
o
ac
h
f
o
r
c
o
m
p
u
tatio
n
o
f
f
lo
a
d
in
g
in
b
lo
ck
ch
ain
-
b
ased
s
y
s
tem
s
.
I
n
in
teg
r
atio
n
with
DR
L
,
th
e
b
lo
ck
c
h
ain
e
n
h
an
ce
s
m
o
b
ile
co
m
m
u
n
icatio
n
ef
f
icien
cy
.
T
h
e
DR
L
in
b
lo
c
k
ch
ain
o
p
er
atio
n
en
h
a
n
ce
s
I
o
T
b
y
s
im
u
ltan
eo
u
s
ly
s
ec
u
r
in
g
tr
an
s
ac
tio
n
s
a
n
d
s
u
p
p
o
r
tin
g
co
m
m
u
n
ity
-
b
ased
d
iv
is
ib
ilit
y
.
T
h
e
d
ec
en
tr
alize
d
an
d
ef
f
ec
tiv
e
co
m
m
u
n
icatio
n
is
in
teg
r
ated
in
to
DR
L
an
d
b
lo
ck
ch
ai
n
with
in
w
ir
eless
s
er
v
ices
wh
ich
en
a
b
les
f
o
r
r
eliab
le
an
d
s
ca
lab
le
r
eso
u
r
ce
allo
ca
tio
n
.
B
u
t
it
r
eq
u
ir
es
h
ig
h
e
r
co
m
p
u
tati
o
n
al
r
eso
u
r
ce
s
d
u
e
to
its
c
o
m
p
lex
ar
ch
itectu
r
e
wh
ich
l
ea
d
s
to
in
e
f
f
icien
t
o
f
f
lo
ad
i
n
g
a
n
d
a
f
f
ec
ts
o
v
e
r
al
l
p
er
f
o
r
m
an
ce
.
T
h
a
n
g
ar
aj
a
n
d
Sre
e
[
2
1
]
in
tr
o
d
u
ce
d
a
m
o
b
ilit
y
-
awa
r
e
s
ec
u
r
e
co
m
p
u
tatio
n
o
f
f
lo
a
d
in
g
(
MSC
O)
in
b
lo
ck
c
h
ain
-
en
a
b
led
f
o
g
co
m
p
u
tin
g
.
T
h
e
MSC
O
o
f
f
er
e
d
d
ec
en
tr
alize
d
a
n
d
s
ec
u
r
e
o
f
f
lo
a
d
in
g
s
er
v
ice
f
o
r
en
d
-
u
s
er
s
wh
ich
en
ab
les
co
s
t
-
ef
f
ec
tiv
e
o
f
f
lo
ad
in
g
to
f
o
g
s
er
v
er
s
.
T
h
e
h
y
b
r
id
o
f
g
en
etic
al
g
o
r
ith
m
(
GA)
a
n
d
p
ar
ticle
s
war
m
o
p
tim
izatio
n
(
P
SO)
was
u
tili
ze
d
f
o
r
o
f
f
lo
a
d
in
g
p
r
o
ce
s
s
.
Ho
wev
er
,
MSC
O
wa
s
in
ter
r
u
p
ted
b
y
m
al
icio
u
s
ac
tiv
ities
d
u
r
in
g
th
e
o
f
f
l
o
ad
in
g
p
r
o
ce
s
s
th
at
af
f
ec
ted
p
r
o
ce
s
s
in
g
tim
e.
Ak
n
an
et
a
l.
[
2
2
]
d
ev
elo
p
e
d
an
ar
tific
ial
in
tellig
en
ce
(
AI
)
an
d
b
lo
c
k
ch
ain
-
ass
is
ted
f
r
am
ewo
r
k
f
o
r
o
f
f
lo
ad
i
n
g
in
f
o
g
co
m
p
u
tin
g
.
T
h
e
B
AT
alg
o
r
ith
m
was
d
ev
e
lo
p
ed
f
o
r
th
e
o
f
f
lo
ad
in
g
p
r
o
ce
s
s
wh
ich
h
as
a
h
ig
h
co
n
v
er
g
en
ce
r
ate
an
d
th
e
ab
i
lity
to
co
n
s
id
er
o
f
f
lo
a
d
in
g
d
ec
is
io
n
s
in
r
u
n
tim
e
wh
ich
en
h
an
ce
s
th
e
r
esu
lt
q
u
ality
.
T
h
e
b
lo
c
k
ch
ain
tec
h
n
iq
u
e
s
ec
u
r
es
I
o
T
ap
p
licatio
n
s
an
d
t
h
eir
d
ata
f
r
o
m
attac
k
s
.
Ho
wev
er
,
th
e
B
AT
alg
o
r
ith
m
s
u
f
f
er
ed
f
r
o
m
p
r
em
atu
r
e
co
n
v
er
g
en
ce
a
n
d
l
ea
d
in
g
s
u
b
o
p
tim
al
s
o
lu
tio
n
s
wh
ich
af
f
ec
ts
th
e
ef
f
icien
cy
o
f
c
o
m
p
u
tatio
n
al
o
f
f
lo
ad
in
g
.
Sam
y
et
a
l
.
[
2
3
]
im
p
lem
en
ted
a
s
ec
u
r
e
task
o
f
f
lo
ad
in
g
in
b
lo
c
k
ch
ain
b
ased
DR
L
.
I
n
itially
,
b
lo
ck
c
h
ain
was
d
ev
elo
p
ed
to
o
b
tai
n
d
ata
in
teg
r
ity
,
c
o
n
f
id
e
n
tiality
an
d
s
ec
u
r
ity
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
B
lo
ck
ch
a
in
-
e
n
a
b
le
d
fr
a
mewo
r
k
u
s
in
g
d
ivers
ity
mu
ta
tio
n
w
ith
s
ib
eria
n
tig
er
…
(
S
r
ika
n
ta
Mu
r
th
y
R
a
jin
i
)
1373
o
f
f
lo
ad
i
n
g
in
m
o
b
ile
d
ev
ices.
T
h
en
,
th
e
task
o
f
o
f
f
lo
ad
in
g
m
u
ltip
le
u
s
er
s
with
m
o
b
ile
d
ev
ices is o
p
tim
ized
f
o
r
tim
e
an
d
en
er
g
y
c
o
s
ts
.
T
h
e
DR
L
was
ap
p
lied
to
ef
f
icien
t
ly
d
er
iv
e
n
ea
r
-
o
p
tim
al
task
o
f
f
lo
ad
in
g
d
ec
is
io
n
s
.
Nev
er
th
eless
,
DR
L
s
u
f
f
er
ed
f
r
o
m
s
ca
lab
ilit
y
is
s
u
es
wh
ich
led
to
s
u
b
o
p
tim
al
p
er
f
o
r
m
an
ce
an
d
r
e
d
u
ce
d
ef
f
icien
cy
in
t
h
e
o
f
f
lo
ad
in
g
p
r
o
ce
s
s
.
Sar
k
ar
an
d
Ku
m
a
r
[
2
4
]
p
r
esen
ted
an
en
er
g
y
-
ef
f
icien
t
c
o
m
p
u
tatio
n
al
o
f
f
lo
ad
i
n
g
in
h
eter
o
g
e
n
eo
u
s
f
o
g
co
m
p
u
tin
g
.
T
h
e
to
tal
d
elay
a
n
d
en
er
g
y
co
n
s
u
m
p
tio
n
o
f
d
ata
was
in
itially
ca
lcu
lated
th
r
o
u
g
h
a
h
eter
o
g
en
eo
u
s
s
y
s
tem
wh
ich
f
o
r
m
u
lates
th
e
m
ix
ed
-
in
teg
er
p
r
o
b
lem
to
o
p
tim
ize
b
an
d
wid
th
allo
ca
t
io
n
an
d
o
f
f
lo
ad
in
g
d
ec
is
io
n
.
T
o
m
ak
e
o
f
f
l
o
ad
in
g
d
ec
is
io
n
s
,
m
u
ltip
le
d
ee
p
n
eu
r
al
n
etwo
r
k
(
DNN)
is
ap
p
lied
wh
ich
u
s
e
a
b
in
ar
y
o
f
f
lo
ad
i
n
g
s
tr
ateg
y
.
Ho
wev
er
,
s
ec
u
r
ity
an
d
h
ig
h
en
e
r
g
y
c
o
n
s
u
m
p
tio
n
ar
e
m
aj
o
r
lim
itatio
n
s
th
at
m
ak
e
it
in
s
u
f
f
icien
t
f
o
r
r
ea
l
-
tim
e
ap
p
l
icatio
n
s
.
L
in
et
a
l.
[
2
5
]
s
u
g
g
e
s
ted
an
en
e
r
g
y
-
ef
f
icien
t
j
o
in
t
r
eso
u
r
ce
allo
ca
tio
n
an
d
c
o
m
p
u
tatio
n
o
f
f
lo
a
d
in
g
u
s
in
g
th
e
s
u
cc
ess
iv
e
co
n
v
ex
ap
p
r
o
x
im
atio
n
(
SC
A)
-
b
ased
i
n
ter
i
o
r
-
po
i
n
t
tech
n
iq
u
e
in
f
o
g
c
o
m
p
u
tin
g
.
T
h
e
en
e
r
g
y
-
ef
f
icien
t
non
-
o
r
th
o
g
o
n
al
m
u
ltip
le
ac
ce
s
s
(
NOM
A)
-
en
ab
led
co
m
p
u
tin
g
o
f
f
lo
ad
i
n
g
was
d
ev
el
o
p
ed
wh
ich
in
teg
r
ate
d
task
v
e
h
icles,
f
o
g
ac
ce
s
s
p
o
in
ts
(F
-
APs
)
,
id
le
v
eh
icles
an
d
au
x
iliar
y
F
-
Ap
s
t
o
h
a
n
d
le
t
h
e
task
s
.
Mo
r
eo
v
er
,
in
ter
io
r
-
p
o
i
n
t
tech
n
iq
u
e
ac
c
o
r
d
in
g
to
SC
A
was
d
ev
elo
p
e
d
to
ac
h
iev
e
a
s
u
b
-
o
p
tim
u
m
s
o
lu
ti
o
n
o
f
task
s
ep
ar
atio
n
a
n
d
b
a
n
d
wid
th
allo
ca
tio
n
.
T
h
e
SC
A
-
b
ased
in
ter
io
r
-
p
o
in
t
m
eth
o
d
im
p
r
o
v
es
co
n
v
e
r
g
en
c
e
s
p
ee
d
th
r
o
u
g
h
ef
f
ec
tiv
ely
s
o
lv
in
g
n
o
n
-
c
o
n
v
e
x
wh
ich
m
a
k
es
it
s
u
itab
le
f
o
r
m
an
ag
in
g
co
m
p
lex
r
eso
u
r
ce
allo
ca
tio
n
.
Ho
wev
er
,
it
s
u
f
f
e
r
ed
f
r
o
m
lo
ca
l
o
p
tim
a
co
n
v
e
r
g
en
ce
b
ec
au
s
e
o
f
p
r
im
ar
y
f
ea
s
ib
le
p
o
in
ts
wh
ich
lim
its
th
e
p
er
f
o
r
m
a
n
ce
in
h
i
g
h
d
y
n
am
ic
f
o
g
c
o
m
p
u
tin
g
.
K
ö
k
a
n
d
Ö
z
d
e
m
i
r
[
2
6
]
p
r
e
s
en
t
e
d
a
d
e
e
p
r
e
i
n
f
o
r
c
e
m
e
n
t
l
ea
r
n
i
n
g
o
f
f
l
o
a
d
i
n
g
s
c
h
e
m
e
(
DR
L
OS
)
f
o
r
c
o
m
p
u
t
a
t
i
o
n
o
f
f
l
o
a
d
i
n
g
i
n
f
o
g
c
o
m
p
u
t
i
n
g
.
T
h
e
D
R
L
w
as
d
ev
e
l
o
p
e
d
w
h
i
c
h
j
o
i
n
tl
y
c
o
n
s
i
d
er
e
d
t
h
e
c
o
n
t
e
n
t
t
y
p
e
a
n
d
s
t
a
t
u
s
o
f
t
h
e
f
o
g
s
e
r
v
e
r
.
T
h
e
n
,
a
n
o
v
e
l
v
i
r
t
u
a
l
l
a
y
e
r
n
a
m
e
d
F
o
g
O
r
c
h
o
r
c
h
e
s
t
r
a
t
es
w
h
i
c
h
m
a
n
a
g
e
s
a
n
d
p
e
r
f
o
r
m
s
t
h
e
r
e
q
u
i
r
e
m
e
n
ts
o
f
f
o
g
l
a
y
e
r
r
e
s
o
u
r
c
e
s
u
s
i
n
g
a
D
R
L
a
g
e
n
t
.
T
h
e
DR
L
OS
o
p
t
i
m
i
z
es
t
h
e
c
o
m
p
u
t
at
i
o
n
a
l
o
f
f
l
o
a
d
i
n
g
i
n
f
o
g
c
o
m
p
u
t
i
n
g
t
h
r
o
u
g
h
l
e
a
r
n
i
n
g
d
y
n
a
m
i
c
a
l
l
y
a
n
d
a
d
a
p
t
i
n
g
c
o
m
p
l
e
x
e
n
v
i
r
o
n
m
e
n
t
s
w
h
i
c
h
l
e
a
d
s
t
o
e
f
f
e
c
t
i
v
e
r
es
o
u
r
c
e
al
l
o
c
at
i
o
n
an
d
l
e
s
s
la
t
e
n
c
y
.
H
o
w
e
v
e
r
,
i
t
s
u
f
f
e
r
e
d
f
r
o
m
h
i
g
h
e
r
c
o
m
p
u
t
a
t
io
n
a
l
o
v
e
r
h
e
a
d
a
n
d
l
o
n
g
c
o
n
v
e
r
g
e
n
c
e
b
e
c
a
u
s
e
o
f
c
o
m
p
l
e
x
t
r
a
i
n
i
n
g
i
n
d
y
n
a
m
i
c
e
n
v
i
r
o
n
m
e
n
t
s
.
D
a
n
g
a
n
d
K
i
m
[
2
7
]
d
e
v
e
l
o
p
e
d
a
d
i
s
t
r
i
b
u
t
e
d
c
o
m
p
u
t
a
t
i
o
n
o
f
f
l
o
ad
i
n
g
(
D
I
SC
O
)
f
o
r
f
o
g
c
o
m
p
u
ti
n
g
.
T
h
e
d
i
s
t
r
i
b
u
t
e
d
a
n
d
s
c
al
ab
l
e
f
r
a
m
e
w
o
r
k
wi
t
h
l
e
s
s
c
o
m
p
u
t
a
t
i
o
n
a
l
c
o
m
p
le
x
i
t
y
w
a
s
u
n
a
c
h
i
e
v
a
b
le
t
h
r
o
u
g
h
g
l
o
b
a
l
o
p
t
i
m
i
z
at
i
o
n
w
i
t
h
c
e
n
t
r
a
l
i
ze
d
d
a
t
a
m
a
n
a
g
e
m
e
n
t
i
n
f
o
g
n
e
t
w
o
r
k
s
.
T
h
e
D
I
S
C
O
w
a
s
a
p
p
l
i
e
d
f
o
r
o
f
f
l
o
a
d
i
n
g
o
f
d
i
v
i
d
e
d
t
a
s
k
s
u
s
i
n
g
m
a
t
c
h
i
n
g
th
e
o
r
y
.
T
h
e
D
I
S
C
O
e
f
f
e
c
t
i
v
e
l
y
b
a
l
a
n
c
es
c
o
m
p
u
t
a
t
io
n
a
l
l
o
a
d
a
m
o
n
g
c
l
o
u
d
r
e
s
o
u
r
c
e
s
t
o
r
e
d
u
c
e
l
a
t
e
n
c
y
a
n
d
e
n
e
r
g
y
c
o
n
s
u
m
p
t
i
o
n
.
T
h
e
D
I
SC
O
i
n
c
r
e
as
e
d
l
at
e
n
c
y
b
e
c
au
s
e
o
f
o
v
e
r
h
e
a
d
o
f
h
a
n
d
l
i
n
g
d
i
s
t
r
i
b
u
t
e
d
r
e
s
o
u
r
c
es
a
m
o
n
g
n
u
m
e
r
o
u
s
f
o
g
n
o
d
e
s
.
L
i
et
a
l
.
[
2
8
]
im
p
lem
e
n
ted
a
s
u
b
task
p
ar
titi
o
n
an
d
r
eso
u
r
ce
allo
ca
tio
n
-
b
ased
in
tellig
e
n
t
co
m
p
u
tatio
n
o
f
f
lo
ad
i
n
g
(
SP
R
A
-
I
C
O)
f
o
r
u
s
er
s
atis
f
ac
tio
n
in
f
o
g
co
m
p
u
t
in
g
.
T
h
e
ac
t
o
r
-
cr
itic
n
etwo
r
k
was
co
m
b
in
ed
with
n
o
is
e
to
p
r
o
d
u
ce
co
n
s
tan
t
r
e
s
u
lt
ac
h
iev
em
en
t
wh
ich
en
s
u
r
in
g
co
n
tr
o
lled
c
h
an
ce
i
n
d
e
ter
m
in
is
tic
p
o
licy
ex
p
lo
r
atio
n
.
T
h
e
SP
R
A
-
I
C
O
en
h
an
ce
s
co
m
p
u
tin
g
th
r
o
u
g
h
o
p
tim
izin
g
r
eso
u
r
ce
allo
ca
tio
n
an
d
m
ain
tain
in
g
less
laten
cy
th
er
eb
y
s
ec
u
r
in
g
d
ata
an
d
r
ed
u
ci
n
g
co
m
p
u
tati
o
n
al
co
m
p
lex
ity
.
Ho
wev
er
,
it
lead
s
to
in
cr
ea
s
ed
o
v
er
h
ea
d
in
laten
cy
an
d
c
o
m
m
u
n
icatio
n
d
u
e
to
th
e
co
m
p
lex
ity
o
f
task
s
an
d
h
an
d
lin
g
r
eso
u
r
ce
allo
ca
tio
n
am
o
n
g
d
is
tr
ib
u
ted
n
o
d
es
wh
i
ch
af
f
ec
ts
th
e
p
er
f
o
r
m
a
n
ce
.
L
iu
et
a
l.
[
2
9
]
s
u
g
g
ested
a
GA
f
o
r
ef
f
icien
t
d
elay
co
m
p
u
tatio
n
o
f
f
lo
ad
i
n
g
i
n
f
o
g
co
m
p
u
tin
g
.
T
h
e
d
is
tr
ib
u
ted
m
u
lti
-
h
o
p
co
m
p
u
tin
g
u
s
in
g
GA
was
d
ev
elo
p
e
d
wh
er
e
task
s
ar
e
o
f
f
lo
ad
e
d
r
e
cu
r
s
iv
ely
b
etwe
en
n
etwo
r
k
c
o
m
p
u
tin
g
p
o
in
ts
(
NC
Ps
)
.
T
h
e
GA
m
in
im
izes
an
o
p
tim
al
s
p
ac
e
th
r
o
u
g
h
cr
ea
t
in
g
f
ilter
cr
iter
ia
t
h
at
s
cr
ee
n
n
o
d
es
b
ef
o
r
e
th
e
i
n
itializatio
n
s
tag
e
th
er
eb
y
en
h
an
cin
g
p
o
p
u
latio
n
in
itializatio
n
.
I
t
em
p
lo
y
s
a
cr
o
s
s
o
v
er
o
p
er
ato
r
to
im
p
r
o
v
e
co
n
v
er
g
e
n
ce
an
d
av
o
i
d
r
is
k
o
f
r
eso
u
r
ce
o
v
er
co
n
s
u
m
p
tio
n
b
ec
au
s
e
o
f
s
p
h
er
ical
s
ch
ed
u
li
n
g
.
T
h
e
GA
alg
o
r
ith
m
ef
f
ec
tiv
ely
ex
p
lo
r
es
s
ea
r
ch
s
p
ac
e
d
u
e
to
its
ab
ilit
y
an
d
f
r
eq
u
en
c
y
tu
n
in
g
th
er
e
b
y
lead
in
g
to
o
p
tim
al
r
eso
u
r
ce
allo
c
atio
n
.
Ho
wev
er
,
it
s
u
f
f
er
ed
f
r
o
m
p
r
em
atu
r
e
co
n
v
er
g
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ce
th
at
le
d
to
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u
b
o
p
tim
al
s
o
lu
tio
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s
th
at
d
o
n
o
t
ef
f
ec
tiv
ely
ex
p
l
o
r
e
t
h
e
s
ea
r
ch
s
p
ac
e.
T
ab
le
1
p
r
esen
ts
th
e
s
u
m
m
ar
y
tab
le
o
f
e
x
is
tin
g
r
esear
ch
.
3.
M
E
T
H
O
D
T
h
e
s
ec
u
r
e
co
m
p
u
tatio
n
o
f
f
lo
ad
in
g
f
r
am
ewo
r
k
i
n
a
f
o
g
c
o
m
p
u
tin
g
en
v
i
r
o
n
m
e
n
t
is
d
etailed
in
th
is
s
ec
tio
n
.
T
h
e
m
ain
aim
o
f
th
i
s
f
r
am
ewo
r
k
is
to
s
elec
t
an
o
p
tim
al
au
th
o
r
ize
d
f
o
g
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er
v
er
with
b
lo
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to
p
r
o
v
id
e
Qo
S
co
n
s
tr
ain
ts
in
I
o
T
with
less
en
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y
co
n
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u
m
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n
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d
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h
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p
r
o
p
o
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ed
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r
a
m
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r
k
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s
h
o
wn
in
Fig
u
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e
1
wh
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co
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tain
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I
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T
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f
o
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a
n
d
cl
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lay
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.
All
t
h
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ar
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ter
co
n
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ec
te
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with
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m
ed
iu
m
.
E
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p
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o
llo
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I
n
I
o
T
lay
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,
th
e
p
r
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ce
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s
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g
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e
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th
e
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er
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o
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m
an
ce
o
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u
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er
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m
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ev
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Mo
b
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ain
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o
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ce
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th
e
p
r
o
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s
s
o
f
co
m
p
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tin
g
ab
ilit
y
.
E
v
er
y
m
o
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ile
d
e
v
ice
in
th
is
lay
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h
as
a
b
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ich
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les
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r
ate
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etwo
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k
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f
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T
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e
f
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co
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p
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ap
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Fig
u
r
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1
.
Secu
r
e
o
f
f
l
o
ad
in
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f
r
am
ewo
r
k
in
b
lo
ck
c
h
ain
3
.
1
.
B
lo
c
k
g
ener
a
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f
o
r
o
f
f
lo
a
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Gen
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ata
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ata
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atio
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o
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d
g
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er
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m
in
g
b
lo
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s
.
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h
e
b
l
o
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k
ch
ain
is
ap
p
lied
to
m
o
n
ito
r
u
n
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an
s
ac
tio
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s
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r
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ata
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ity
.
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m
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n
task
is
o
f
f
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in
to
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h
e
f
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er
v
er
wh
ich
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o
r
d
ed
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a
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d
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of
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(
P
o
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)
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ased
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er
if
icatio
n
.
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r
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er
,
th
e
Po
W
in
teg
r
ates
tr
ac
ea
b
ilit
y
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d
v
er
if
iab
ilit
y
b
y
g
e
n
er
atin
g
a
h
ash
f
u
n
ctio
n
.
On
ce
a
tr
an
s
ac
tio
n
is
c
r
ea
ted
,
it
i
s
class
if
ied
as
an
u
n
v
er
if
ied
tr
an
s
ac
tio
n
f
o
r
ev
er
y
s
er
v
e
r
.
T
h
e
n
o
d
e
in
th
e
b
lo
ck
ch
ain
r
eso
lv
es
Po
W
to
o
b
tain
th
e
p
o
wer
to
p
r
o
d
u
ce
b
lo
ck
s
an
d
t
r
an
s
m
it
ev
er
y
tim
e
-
s
tam
p
tr
an
s
ac
tio
n
v
er
if
ied
in
th
e
b
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t
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th
e
en
tire
n
etwo
r
k
.
T
h
e
n
ew
b
lo
ck
is
in
clu
d
ed
in
th
e
p
r
esen
t
b
lo
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ch
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n
o
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ce
o
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in
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en
t
an
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a
b
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f
th
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g
h
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n
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k
er
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ev
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y
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r
lier
p
r
o
d
u
c
ed
b
lo
ck
is
r
eq
u
ir
ed
to
b
e
m
o
d
if
ied
.
T
h
e
r
eso
u
r
c
e
m
o
n
ito
r
in
g
o
f
th
e
f
o
g
s
er
v
er
is
d
o
n
e
th
r
o
u
g
h
r
ec
o
r
d
s
in
th
e
b
l
o
ck
ch
ain
wh
ich
is
u
p
d
ated
d
y
n
am
ically
.
T
h
e
r
ela
ted
f
o
g
s
er
v
e
r
allo
ca
ted
th
e
tas
k
o
n
ce
th
e
r
eq
u
est b
ased
o
n
th
e
f
o
g
s
er
v
e
r
v
alu
es
an
d
its
s
er
v
ice
waitin
g
tim
e.
A
r
ec
o
r
d
is
s
im
u
ltan
eo
u
s
ly
g
en
er
ated
an
d
r
eo
r
g
an
ized
c
o
n
s
eq
u
en
tly
.
T
h
r
o
u
g
h
th
e
b
lo
ck
c
h
ain
tech
n
i
q
u
e,
t
h
e
wh
o
le
tr
an
s
ac
tio
n
h
is
to
r
y
is
s
to
r
ed
in
m
o
b
ile
d
ev
ices
an
d
f
o
g
s
er
v
er
s
.
T
h
e
f
o
g
s
er
v
er
u
s
es
its
p
r
iv
ate
k
ey
to
s
ig
n
atu
r
e
th
e
r
ea
l
u
p
d
ated
g
eo
g
r
ap
h
ical
p
o
s
itio
n
s
,
u
p
d
ate
d
in
f
o
r
m
atio
n
an
d
wo
r
k
lo
ad
s
.
Mo
r
e
o
v
er
,
m
o
b
ile
d
ev
ices
u
tili
ze
its
p
r
iv
ate
k
ey
to
s
ig
n
th
e
o
f
f
lo
a
d
in
g
tr
a
n
s
ac
tio
n
s
.
E
v
er
y
m
o
b
ile
d
ev
ice
s
to
r
es
a
wh
o
le
t
r
an
s
ac
tio
n
h
is
to
r
y
,
wh
ich
is
d
ef
i
n
ed
ea
s
ily
an
d
th
e
f
o
g
s
er
v
er
is
d
e
s
ig
n
ated
to
o
f
f
lo
a
d
its
ce
r
tain
co
m
p
u
tatio
n
t
h
r
o
u
g
h
th
e
p
r
o
p
o
s
ed
STO
alg
o
r
ith
m
.
3
.
2
.
Co
m
pu
t
a
t
io
n o
f
f
lo
a
din
g
m
o
del
T
h
e
STO
alg
o
r
ith
m
is
u
s
ed
i
n
th
is
r
esear
ch
f
o
r
co
m
p
u
tati
o
n
o
f
f
lo
ad
in
g
in
b
lo
ck
ch
ai
n
b
ased
f
o
g
co
m
p
u
tatio
n
.
T
h
e
p
r
o
ce
s
s
o
f
p
o
s
itio
n
u
p
d
atin
g
f
o
r
s
ib
er
ian
tig
er
s
in
STO
is
ex
h
ib
ited
in
d
u
al
v
a
r
io
u
s
s
tag
es
b
ased
o
n
n
at
u
r
al
b
eh
a
v
io
r
o
f
an
im
als.
T
h
e
STO
g
en
er
ates
p
o
s
s
ib
le
s
o
lu
tio
n
s
to
p
r
o
b
le
m
s
f
r
o
m
p
o
p
u
latio
n
s
ea
r
ch
in
g
b
ased
o
n
iter
atio
n
[
3
0
]
.
I
ts
p
o
p
u
latio
n
co
n
tain
s
S
ib
er
ian
tig
er
s
t
h
at
s
ea
r
ch
f
o
r
b
etter
s
o
lu
tio
n
s
b
y
alter
in
g
p
o
s
itio
n
s
in
s
ea
r
ch
s
p
ac
e
an
d
ev
e
r
y
s
ib
er
ian
tig
er
is
an
STO
p
o
p
u
latio
n
m
em
b
er
.
T
h
e
p
o
s
itio
n
o
f
s
ea
r
ch
s
p
ac
e
d
en
o
tes
th
e
p
r
o
b
lem
v
ar
iab
le
s
co
r
e.
T
h
e
i
n
itial
lo
ca
tio
n
in
s
ea
r
ch
s
p
ac
e
is
d
e
ter
m
in
ed
r
an
d
o
m
ly
b
y
u
s
in
g
(
1
)
.
Her
e,
,
is
th
d
im
en
s
io
n
o
f
in
s
ea
r
ch
s
p
ac
e,
,
is
a
r
an
d
o
m
n
u
m
b
er
in
[
0
,
1
]
,
an
d
ar
e
an
u
p
p
er
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n
d
l
o
wer
b
o
u
n
d
o
f
th
p
r
o
b
lem
v
ar
iab
le,
an
d
ar
e
th
e
n
u
m
b
er
o
f
STO
m
em
b
er
s
a
n
d
p
r
o
b
lem
v
ar
iab
les r
esp
ec
tiv
ely
.
,
=
+
,
∙
(
−
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,
=
1
,
2
,
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,
;
=
1
,
2
,
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,
(
1
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3
.
2
.
1
.
P
re
y
hu
nting
I
n
th
i
s
p
h
a
s
e
,
t
h
e
S
T
O
m
e
m
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e
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e
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p
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a
t
ed
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c
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g
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s
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m
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l
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o
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n
t
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t
r
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t
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A
f
t
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t
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t
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r
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r
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n
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p
r
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u
n
t
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t
a
g
e
i
s
s
t
im
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t
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a
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s
.
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t
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t
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ct
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d
a
t
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k
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.
T
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d
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r
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e
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e
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p
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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2252
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8
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B
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fr
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S
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1375
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p
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i
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p
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d
i
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(
2
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.
H
er
e
,
i
s
a
b
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s
t
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c
a
n
d
i
d
a
t
e
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o
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u
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.
T
h
en
,
m
em
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er
f
r
o
m
th
i
s
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s
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e
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e
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d
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a
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ly
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y
a
s
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p
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ed
i
n
(
3
)
.
H
er
e
,
,
i
s
a
t
h
d
im
e
n
s
i
o
n
o
f
,
,
1
1
i
s
a
t
h
d
im
e
n
s
io
n
o
f
n
e
w
p
o
s
i
t
i
o
n
,
,
i
s
a
r
an
d
o
m
n
u
m
b
er
i
n
t
h
e
i
n
t
er
v
a
l
o
f
{
1
,
2
}
.
I
n
S
T
O,
a
m
e
m
b
e
r
u
p
d
a
t
i
n
g
a
n
e
w
p
o
s
i
ti
o
n
wh
i
c
h
i
s
s
u
i
t
a
b
l
e
i
f
i
t
e
n
h
a
n
c
e
s
t
h
e
v
a
l
u
e
s
a
s
(
4
)
.
=
{
∈
{
1
,
2
,
…
,
}
∧
<
}
∪
{
}
(
2
)
,
1
1
=
,
+
,
⋅
(
,
−
,
⋅
,
)
,
=
1
,
2
,
…
,
;
=
1
,
2
,
…
,
(
3
)
=
{
1
1
,
1
1
<
;
,
,
(
4
)
W
h
er
e
,
1
1
is
a
n
ew
lo
ca
tio
n
o
f
th
m
em
b
er
ac
c
o
r
d
in
g
to
in
itial
p
h
ase
o
f
STO
;
an
d
1
1
is
an
o
b
jectiv
e
s
co
r
e
o
f
th
m
em
b
e
r
.
I
n
th
e
s
ec
o
n
d
s
tag
e,
th
e
p
o
p
u
latio
n
m
em
b
er
p
o
s
itio
n
is
u
p
d
ate
d
ac
co
r
d
in
g
to
a
c
h
ase
p
r
o
ce
d
u
r
e.
I
n
th
is
p
h
ase,
tig
er
alter
s
its
lo
ca
tio
n
in
ar
ea
an
d
attac
k
s
p
r
ey
.
T
h
is
p
r
o
ce
d
u
r
e
e
n
h
an
ce
d
al
g
o
r
ith
m
ca
p
ab
ilit
y
in
lo
ca
l
s
ea
r
ch
an
d
o
b
tain
in
g
th
e
b
est
s
o
lu
tio
n
s
.
T
o
s
im
u
late
c
h
asin
g
p
r
o
ce
d
u
r
e,
a
n
ew
l
o
ca
tio
n
n
ea
r
th
e
attac
k
s
ite
is
esti
m
at
ed
u
s
in
g
(
5
)
.
B
ased
o
n
(
6
)
,
if
th
e
o
b
jectiv
e
f
u
n
ctio
n
v
al
u
e
im
p
r
o
v
es,
it
n
ewly
esti
m
ates
th
e
p
o
s
itio
n
an
d
r
e
p
lace
s
th
e
p
r
ev
i
o
u
s
p
o
s
itio
n
o
f
its
r
esp
ec
tiv
e
m
em
b
er
.
He
r
e,
1
2
is
a
n
ew
lo
ca
tio
n
o
f
th
tig
er
ac
co
r
d
in
g
to
s
ec
o
n
d
s
tag
e
o
f
in
itial
p
h
ase,
,
1
2
is
th
d
im
en
s
io
n
o
f
s
ea
r
ch
s
p
ac
e,
1
2
is
o
b
jectiv
e
f
u
n
ctio
n
,
an
d
is
a
n
u
m
b
er
o
f
iter
atio
n
s
.
,
1
2
=
,
+
,
⋅
(
−
)
,
=
1
,
2
,
…
,
;
=
1
,
2
,
…
,
;
=
1
,
2
,
…
,
(
5
)
=
{
1
2
,
1
2
<
;
,
,
(
6
)
3
.
2
.
2
.
F
ig
hting
wit
h a
bea
r
Ob
s
er
v
atio
n
o
f
n
o
r
m
al
s
ib
er
i
an
tig
er
s
in
d
icate
s
th
at
th
ese
an
im
als
f
ig
h
t
th
r
o
u
g
h
b
lack
a
n
d
b
r
o
w
n
b
ea
r
s
b
ec
au
s
e
th
ey
clash
o
v
er
p
r
ey
an
d
f
i
g
h
t
to
p
r
o
tect
th
eir
s
u
r
v
iv
al.
I
n
th
is
s
tag
e,
STO
p
o
p
u
latio
n
m
em
b
er
s
ar
e
u
p
d
ated
b
y
s
tim
u
latin
g
t
h
e
s
ib
er
ian
tig
er
a
p
p
r
o
ac
h
o
n
ce
i
t
f
ig
h
ts
with
a
b
ea
r
.
Du
r
in
g
a
f
ig
h
t,
tig
er
i
n
itially
tr
ap
s
an
d
attac
k
s
b
ea
r
,
th
en
e
n
g
ag
es
in
co
m
b
at
with
b
ea
r
o
n
b
attlef
ield
u
n
til
it
k
ills
it.
Hen
ce
,
s
ib
er
ian
tig
er
s
’
f
ig
h
tin
g
a
p
p
r
o
ac
h
with
b
ea
r
s
i
s
s
tim
u
lated
in
d
u
al
s
tag
es
s
u
c
h
as
attac
k
an
d
f
ig
h
t.
I
n
attac
k
s
tag
e,
attac
k
o
f
th
tig
er
o
n
b
ea
r
is
m
o
d
elled
an
d
r
em
ain
in
g
p
o
p
u
latio
n
m
em
b
er
s
ar
e
tak
en
as
b
ea
r
s
s
et.
Fro
m
th
is
p
o
s
s
ib
le
b
ea
r
s
et,
th
e
attac
k
ed
b
ea
r
p
o
s
itio
n
is
s
elec
ted
r
an
d
o
m
ly
.
T
h
is
lead
s
to
r
ap
id
an
d
s
ig
n
i
f
ican
t
alter
atio
n
s
in
STO
m
em
b
er
lo
ca
tio
n
wh
ich
en
h
a
n
ce
s
g
lo
b
al
s
ea
r
ch
ex
p
lo
r
atio
n
ab
ilit
y
.
Hen
ce
,
th
e
n
ew
p
o
s
itio
n
is
ca
lcu
lated
in
itially
to
s
im
u
late
th
e
ab
o
v
e
co
n
ce
p
t f
o
r
th
STO
m
em
b
er
=
1
,
2
,
…
,
as (
7
)
.
W
h
er
e,
,
is
th
d
im
en
s
io
n
o
f
b
ea
r
p
o
s
itio
n
,
=
1
,
2
,
…
,
,
is
a
ch
o
s
e
n
b
ea
r
p
o
s
itio
n
f
r
o
m
s
et
{
1
,
2
,
…
,
−
1
,
+
1
,
…
,
}
,
2
1
is
a
n
ew
lo
ca
tio
n
o
f
th
m
em
b
er
o
f
STO,
,
2
1
is
it
s
th
d
im
en
s
io
n
.
I
f
th
e
o
b
jectiv
e
f
u
n
ctio
n
v
al
u
e
is
en
h
an
ce
d
b
ased
o
n
(
8
)
,
t
h
e
n
ewly
esti
m
a
ted
lo
ca
tio
n
s
u
b
s
titu
tes b
ef
o
r
e
o
n
e
o
f
its
r
esp
ec
tiv
e
m
em
b
er
s
.
,
2
1
=
{
,
+
,
⋅
(
,
−
,
⋅
,
)
,
<
;
,
+
,
⋅
(
,
−
,
⋅
,
)
,
(
7
)
=
{
2
1
,
2
1
<
;
,
,
(
8
)
Her
e,
is
an
o
b
jectiv
e
s
co
r
e
o
f
b
ea
r
s
,
2
1
is
an
o
b
jectiv
e
v
alu
e
o
f
2
1
.
I
n
s
ec
o
n
d
p
h
ase,
p
o
p
u
l
atio
n
m
em
b
er
l
o
ca
tio
n
is
u
p
d
ated
a
cc
o
r
d
in
g
to
t
h
e
s
im
u
latio
n
o
f
f
ig
h
t
a
s
tr
u
g
g
le.
I
t
ca
u
s
es
s
m
all
ad
ju
s
tm
en
ts
in
p
o
p
u
latio
n
m
em
b
e
r
p
o
s
itio
n
wh
ich
en
h
an
c
es
lo
ca
l
s
ea
r
ch
o
f
STO
an
d
e
n
h
an
ce
s
its
ex
p
lo
itatio
n
ca
p
ab
ilit
y
.
B
ased
o
n
th
is
b
e
h
av
io
r
,
in
itia
lly
,
a
r
a
n
d
o
m
lo
ca
tio
n
ad
jace
n
t
to
f
ig
h
t
p
lace
is
esti
m
ated
b
y
(
9
)
.
T
h
en
,
n
ew
lo
ca
tio
n
is
co
n
s
id
er
ed
f
o
r
t
h
e
u
p
d
ate
p
r
o
ce
d
u
r
e
wh
ich
im
p
r
o
v
es th
e
o
b
jectiv
e
f
u
n
ctio
n
s
co
r
e
b
ased
o
n
(
1
0
)
.
,
2
2
=
,
+
,
(
−
)
,
=
1
,
2
,
…
,
;
=
1
,
2
,
…
,
;
=
1
,
2
,
…
,
(
9
)
=
{
2
2
,
2
2
<
;
,
,
(
1
0
)
Her
e,
2
2
is
a
n
ew
lo
ca
ti
o
n
o
f
th
tig
er
o
f
STO,
,
2
2
is
its
th
d
im
en
s
io
n
,
2
2
is
o
b
jectiv
e
s
co
r
e
o
f
2
2
.
T
h
e
STO
in
itial
iter
atio
n
is
f
in
is
h
ed
a
f
ter
u
p
d
atin
g
ev
e
r
y
tig
er
ac
co
r
d
i
n
g
t
o
th
e
in
itial
an
d
s
ec
o
n
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
15
,
No
.
2
,
Ap
r
il
20
26
:
1
3
7
1
-
1
3
8
0
1376
s
tag
es.
T
h
en
,
it
en
ter
s
to
f
o
llo
win
g
iter
atio
n
with
attain
e
d
n
ew
s
co
r
es
an
d
its
p
o
s
itio
n
s
ar
e
u
p
d
ated
u
n
til
th
e
last
iter
atio
n
.
T
h
e
o
p
tim
al
ca
n
d
id
ate
s
o
lu
tio
n
s
g
en
er
ate
d
at
e
ac
h
iter
atio
n
ar
e
s
to
r
ed
in
th
e
r
esu
lts
as
th
e
f
in
al
s
o
lu
tio
n
to
th
e
p
r
o
b
lem
.
L
i
k
e
o
th
er
p
o
p
u
latio
n
-
b
ased
o
p
ti
m
izatio
n
alg
o
r
ith
m
s
in
later
it
er
atio
n
s
o
f
STO,
all
th
e
s
ib
er
ian
tig
er
m
o
v
es
n
ea
r
in
d
iv
id
u
al
o
p
tim
al
r
e
g
io
n
s
t
h
at
r
esu
lt
in
a
p
o
p
u
latio
n
d
iv
er
s
ity
r
ed
u
ctio
n
.
T
o
m
in
im
ize
th
e
p
r
em
atu
r
e
c
o
n
v
er
g
en
ce
p
r
o
b
a
b
ilit
y
f
o
r
STO,
a
d
iv
er
s
ity
m
u
tatio
n
o
p
er
atio
n
is
ac
co
m
p
lis
h
ed
o
n
th
e
p
r
esen
t
o
p
tim
al
Sib
er
ian
t
ig
er
in
d
iv
id
u
al.
L
et’
s
ass
u
m
e
th
at,
in
d
iv
id
u
al
=
(
1
,
2
,
…
,
)
o
f
s
ib
er
ian
tig
er
s
elec
ts
an
elem
en
t
=
(
=
1
,
2
,
.
.
,
)
f
r
o
m
in
d
iv
id
u
al
with
1
/
p
r
o
b
ab
il
ity
an
d
p
r
o
d
u
ce
s
r
ea
l
n
u
m
b
er
r
an
d
o
m
l
y
in
th
e
r
an
g
e
o
f
[
,
]
r
ath
er
th
a
n
a
n
elem
en
t
f
r
o
m
wh
ich
g
en
er
ates
n
ew
in
d
iv
id
u
al
′
=
(
1
′
,
2
′
,
…
,
′
)
.
T
h
e
d
iv
e
r
s
ity
m
u
tatio
n
o
p
er
a
tio
n
is
g
iv
en
in
(
1
1
)
.
′
=
{
+
∙
(
−
)
=
ℎ
(
1
1
)
W
h
er
e,
an
d
ar
e
u
p
p
er
an
d
lo
wer
b
o
u
n
d
s
,
∈
[
0
,
1
]
is
a
r
an
d
o
m
n
u
m
b
er
.
T
h
e
DM
-
STO
p
r
ev
en
ts
p
r
em
atu
r
e
c
o
n
v
er
g
en
ce
an
d
im
p
r
o
v
es
th
e
m
o
d
el’
s
ca
p
ab
i
lity
to
escap
e
lo
ca
l
o
p
tim
a
th
er
eb
y
lead
i
n
g
to
o
p
tim
al
s
o
lu
tio
n
.
T
h
e
DM
-
STO
alg
o
r
ith
m
is
u
s
ed
in
th
is
r
es
ea
r
ch
f
o
r
th
e
o
f
f
lo
ad
in
g
p
r
o
ce
s
s
d
u
e
to
its
ab
ilit
y
to
ef
f
ec
tiv
ely
b
alan
ce
wo
r
k
lo
ad
s
am
o
n
g
f
o
g
n
o
d
es
an
d
l
o
c
al
d
ev
ices.
T
h
e
p
s
eu
d
o
c
o
d
e
o
f
DM
-
STO
is
g
iv
en
as
Alg
o
r
ith
m
1
.
A
l
g
o
r
i
t
h
m
1
.
D
i
v
e
r
s
i
t
y
m
u
ta
t
i
o
n
w
i
t
h
s
i
b
e
r
i
a
n
t
i
g
e
r
o
p
ti
m
i
z
at
io
n
s
tar
t D
M
-
STO
I
n
p
u
t:
t
h
e
p
r
o
b
lem
d
ata
(
o
b
jec
tiv
e
f
u
n
ctio
n
,
v
ar
ia
b
les,
an
d
c
o
n
s
tr
ain
ts
)
E
s
tab
lis
h
STO
s
ize
o
f
p
o
p
u
lati
o
n
(
)
,
C
r
ea
te
th
e
r
an
d
o
m
in
itial p
o
p
u
latio
n
m
atr
ix
b
y
(
1
)
f
o
r
=
1
to
f
o
r
=
1
to
Stag
e
1
:
p
r
ey
h
u
n
tin
g
Up
d
ate
th
e
s
et
o
f
p
r
e
y
f
o
r
th
STO
m
em
b
er
b
y
ap
p
l
y
in
g
(
2
)
C
o
m
p
u
te
STO
m
em
b
er
’
s
th
n
ew
lo
ca
tio
n
d
ep
en
d
in
g
o
n
1
st
s
tag
e
b
y
u
s
in
g
(
3
)
Up
d
ate
th
STO
m
em
b
er
b
y
em
p
lo
y
in
g
(
4
)
C
o
m
p
u
te
STO
m
em
b
er
’
s
th
n
ew
lo
ca
tio
n
d
ep
en
d
in
g
o
n
2
nd
s
tag
e
b
y
u
s
in
g
(
5
)
Up
d
ate
th
STO
m
em
b
e
r
b
y
ap
p
ly
i
n
g
(
6
)
Stag
e
2
:
f
ig
h
tin
g
with
b
ea
r
R
an
d
o
m
l
y
ch
o
o
s
e
o
n
e
p
o
p
u
latio
n
m
em
b
e
r
as a
b
ea
r
l
o
ca
t
io
n
C
o
m
p
u
te
STO
m
e
m
b
er
’
s
th
n
ew
lo
ca
tio
n
d
ep
e
n
d
in
g
o
n
1
st
s
tag
e
b
y
u
s
in
g
(
7
)
Up
d
ate
th
STO
m
em
b
er
b
y
(
8
)
C
o
m
p
u
te
STO
m
e
m
b
er
’
s
th
n
ew
lo
ca
tio
n
d
ep
e
n
d
in
g
o
n
2
nd
s
tag
e
b
y
u
s
in
g
(
9
)
Up
d
ated
th
STO
m
em
b
er
b
y
ap
p
ly
i
n
g
(
1
0
)
en
d
Per
f
o
r
m
d
i
v
er
s
ity
m
u
tatio
n
o
n
cu
r
r
en
t sib
er
ia
n
tig
er
in
d
iv
id
u
al
u
s
in
g
(
1
1
)
Sav
e
th
e
d
eter
m
in
e
d
o
p
tim
al
b
est s
o
lu
tio
n
en
d
Ou
tp
u
t:
t
h
e
o
p
tim
al
s
o
lu
tio
n
a
cq
u
ir
ed
b
y
DM
-
STO
en
d
DM
-
STO
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
p
e
r
f
o
r
m
an
ce
o
f
t
h
e
DM
-
STO
alg
o
r
ith
m
is
s
im
u
lated
i
n
Py
th
o
n
with
a
s
y
s
tem
r
e
q
u
i
r
em
en
t
o
f
8
GB
R
AM
,
i5
p
r
o
ce
s
s
o
r
an
d
W
in
d
o
ws
1
0
OS.
T
h
e
e
x
ec
u
ti
o
n
tim
e,
s
er
v
ice
c
o
s
t
an
d
e
n
er
g
y
co
n
s
u
m
p
tio
n
ar
e
co
n
s
id
er
ed
f
o
r
ca
lcu
latin
g
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
DM
-
STO
with
n
o
.
o
f
I
o
T
r
eq
u
ests
s
u
ch
as
5
0
,
1
0
0
,
2
0
0
,
a
n
d
3
0
0
.
T
a
b
le
2
s
h
o
ws
th
e
s
im
u
latio
n
p
ar
am
eter
s
f
o
r
th
is
r
esear
ch
.
T
ab
les
3
to
5
p
r
esen
t
th
e
ex
ec
u
tio
n
tim
e,
s
er
v
ice
co
s
t
,
a
n
d
en
er
g
y
c
o
n
s
u
m
p
tio
n
r
esu
lts
with
a
f
ix
ed
f
o
g
s
er
v
er
o
f
1
0
.
T
ab
le
3
p
r
esen
ts
th
e
ex
ec
u
tio
n
tim
e
o
f
DM
-
STO
with
v
ar
io
u
s
n
o
.
o
f
I
o
T
r
eq
u
ests
s
u
ch
as
5
0
,
1
0
0
,
200
,
a
n
d
3
0
0
f
o
r
a
f
ix
e
d
f
o
g
s
er
v
er
o
f
1
0
.
T
h
e
g
r
ey
wo
l
f
o
p
tim
izatio
n
(
GW
O)
,
s
p
o
tted
h
y
en
a
o
p
tim
izatio
n
(
SHO)
,
an
d
STO
ar
e
co
n
s
id
er
ed
to
co
m
p
ar
e
th
e
DM
-
STO
p
er
f
o
r
m
a
n
ce
.
T
h
e
STO
en
h
an
c
ed
ex
p
lo
r
atio
n
an
d
ex
p
lo
itatio
n
b
alan
ce
b
y
d
iv
er
s
ity
m
u
tatio
n
o
p
er
atio
n
.
T
h
e
D
M
-
STO
q
u
ick
en
s
th
e
co
n
v
er
g
en
ce
b
y
p
r
eser
v
in
g
p
o
p
u
latio
n
d
iv
er
s
ity
a
n
d
r
e
d
u
cin
g
th
e
n
u
m
b
er
o
f
iter
atio
n
s
to
f
in
d
o
p
tim
al
s
o
lu
tio
n
s
th
er
eb
y
r
ed
u
ci
n
g
ex
ec
u
tio
n
tim
e.
T
h
e
DM
-
STO
o
b
tain
s
less
ex
ec
u
tio
n
tim
e
o
f
1
8
s
,
9
7
s
,
5
1
6
s
,
an
d
9
6
5
s
f
o
r
5
0
,
1
0
0
,
2
0
0
,
an
d
3
0
0
n
o
.
o
f
I
o
T
r
eq
u
ests
r
esp
ec
tiv
ely
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
B
lo
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ch
a
in
-
e
n
a
b
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d
fr
a
mewo
r
k
u
s
in
g
d
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ity
mu
ta
tio
n
w
ith
s
ib
eria
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tig
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…
(
S
r
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ta
Mu
r
th
y
R
a
jin
i
)
1377
T
ab
le
2
.
Simu
latio
n
p
ar
am
eter
s
P
a
r
a
me
t
e
r
s
V
a
l
u
e
s
F
o
g
n
o
d
e
s
5
-
50
B
a
n
d
w
i
d
t
h
10
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1
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M
b
p
s
N
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mb
e
r
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f
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t
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300
C
l
o
u
d
d
a
t
a
c
e
n
t
e
r
1
T
ab
le
3
.
E
x
ec
u
tio
n
tim
e
(
s
)
f
o
r
p
r
o
p
o
s
ed
DM
-
STO
with
f
ix
e
d
f
o
g
s
er
v
er
o
f
1
0
N
o
.
o
f
I
o
T
r
e
q
u
e
s
t
G
W
O
S
H
O
S
TO
DM
-
S
TO
50
71
45
26
18
1
0
0
1
6
0
1
3
8
1
1
5
97
2
0
0
5
8
5
5
5
5
5
3
0
5
1
6
3
0
0
1
0
2
6
9
9
5
9
8
0
9
6
5
T
ab
le
4
p
r
esen
ts
th
e
s
er
v
ice
co
s
t
o
f
DM
-
STO
with
v
ar
io
u
s
n
o
.
o
f
I
o
T
r
eq
u
ests
s
u
ch
as
5
0
,
1
0
0
,
2
0
0
,
an
d
3
0
0
f
o
r
f
ix
e
d
f
o
g
s
er
v
er
o
f
1
0
.
T
h
e
GW
O,
SHO
,
an
d
STO
ar
e
co
n
s
id
er
e
d
to
co
m
p
ar
e
th
e
DM
-
STO
p
er
f
o
r
m
an
ce
.
T
h
e
STO
en
h
an
ce
d
th
e
ex
p
lo
r
atio
n
ab
ilit
y
th
r
o
u
g
h
its
d
iv
er
s
ity
m
u
tatio
n
o
p
er
atio
n
co
m
p
ar
e
d
to
GW
O,
SH
O
,
an
d
tr
ad
itio
n
al
STO.
I
t
p
r
ev
en
ts
ea
r
ly
c
o
n
v
e
r
g
en
ce
an
d
en
h
a
n
ce
s
th
e
m
o
d
el’
s
ca
p
ab
ilit
y
to
escap
e
lo
ca
l
o
p
tim
a
th
er
eb
y
lead
in
g
to
b
etter
s
o
lu
tio
n
s
an
d
less
s
er
v
ice
co
s
t.
T
h
e
D
M
-
STO
o
b
tain
s
les
s
s
er
v
ice
co
s
t o
f
1
0
$
,
1
1
3
$
,
5
2
5
$
,
an
d
9
3
0
$
f
o
r
5
0
,
1
0
0
,
2
0
0
,
an
d
3
0
0
n
o
.
o
f
I
o
T
r
eq
u
ests
r
e
s
p
ec
tiv
ely
.
T
ab
le
5
p
r
esen
ts
th
e
ex
ec
u
tio
n
tim
e
o
f
DM
-
STO
with
v
ar
io
u
s
n
o
.
o
f
I
o
T
r
eq
u
ests
s
u
ch
as
5
0
,
1
0
0
,
200
,
an
d
3
0
0
f
o
r
a
f
ix
ed
f
o
g
s
er
v
er
o
f
1
0
.
T
h
e
GW
O,
SH
O
,
an
d
STO
ar
e
co
n
s
id
er
ed
to
co
m
p
ar
e
th
e
DM
-
STO
p
er
f
o
r
m
an
ce
.
T
h
e
DM
-
STO
en
h
an
ce
s
th
e
s
ea
r
ch
d
iv
er
s
ity
,
e
n
ab
les th
e
alg
o
r
ith
m
to
av
o
id
l
o
ca
l m
in
im
a
is
s
u
es
an
d
lead
in
g
b
etter
co
n
v
er
g
en
ce
to
o
p
tim
al
s
o
lu
tio
n
s
th
er
e
b
y
r
ed
u
cin
g
en
e
r
g
y
c
o
n
s
u
m
p
tio
n
.
T
h
e
DM
-
STO
o
b
tain
s
less
en
er
g
y
co
n
s
u
m
p
ti
o
n
o
f
5
m
J
,
2
7
m
J
,
1
1
0
mJ
,
a
n
d
2
9
5
m
J
f
o
r
5
0
,
1
0
0
,
2
0
0
,
a
n
d
3
0
0
n
o
.
o
f
I
o
T
r
eq
u
ests
r
esp
ec
tiv
ely
.
T
ab
le
4
.
Ser
v
ice
c
o
s
t (
$
)
f
o
r
p
r
o
p
o
s
ed
DM
-
STO
with
f
ix
e
d
f
o
g
s
er
v
er
o
f
1
0
N
o
.
o
f
I
o
T
r
e
q
u
e
s
t
G
W
O
S
H
O
S
TO
DM
-
S
TO
50
80
55
25
10
1
0
0
1
9
5
1
7
0
1
3
5
1
1
3
2
0
0
6
1
0
5
8
5
5
5
0
5
2
5
3
0
0
1
0
4
5
9
9
0
9
7
5
9
3
0
T
ab
le
5
.
E
n
er
g
y
co
n
s
u
m
p
tio
n
(
m
J
)
f
o
r
p
r
o
p
o
s
ed
DM
-
STO
w
ith
f
ix
ed
f
o
g
s
er
v
e
r
o
f
1
0
N
o
.
o
f
I
o
T
r
e
q
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90
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27
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1
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Co
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a
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DM
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o
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th
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f
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T
h
e
m
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ics
s
u
ch
as
ex
ec
u
tio
n
tim
e,
s
er
v
ice
co
s
t
an
d
en
er
g
y
c
o
n
s
u
m
p
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n
s
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er
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f
o
r
ca
lcu
latin
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e
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er
f
o
r
m
a
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ce
o
f
th
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p
r
o
p
o
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ed
DM
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STO
with
n
o
.
o
f
I
o
T
r
eq
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ests
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as 5
0
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0
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2
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n
d
3
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.
T
h
e
DM
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s
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m
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r
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0
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o
T
r
eq
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ests
in
th
e
f
ix
ed
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o
g
s
er
v
er
o
f
1
0
.
T
ab
le
6
s
h
o
ws th
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m
p
ar
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a
n
aly
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is
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T
ab
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C
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M
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e
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B
A
T
[
2
2
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Ex
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21
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5
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Dis
cus
s
io
n
T
h
e
r
esu
lts
ar
e
tak
en
f
o
r
th
r
ee
m
etr
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s
u
ch
as
ex
ec
u
tio
n
tim
e,
s
er
v
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co
s
t
an
d
en
er
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n
s
u
m
p
tio
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with
a
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ix
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o
g
s
er
v
er
o
f
1
0
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T
h
e
B
AT
[
2
2
]
alg
o
r
ith
m
s
u
f
f
er
ed
f
r
o
m
p
r
e
m
atu
r
e
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n
v
er
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ce
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lead
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g
s
u
b
o
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tim
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tio
n
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ec
ts
th
e
ef
f
icien
cy
o
f
co
m
p
u
t
atio
n
al
o
f
f
lo
ad
i
n
g
.
T
h
e
DM
-
S
T
O
ac
h
iev
es
b
etter
wh
en
co
m
p
a
r
ed
to
t
h
e
B
AT
alg
o
r
ith
m
in
task
o
f
f
lo
a
d
in
g
b
y
in
te
g
r
atin
g
v
ar
io
u
s
s
ea
r
ch
m
ec
h
an
is
m
s
.
I
n
DM
-
STO,
d
iv
er
s
ity
m
u
tatio
n
i
m
p
r
o
v
es
ex
p
lo
r
atio
n
ca
p
ab
ilit
ies
wh
ich
allo
ws
it
to
escap
e
l
o
ca
l
o
p
tim
a
th
at
is
s
ig
n
if
ican
t
f
o
r
task
o
f
f
l
o
ad
in
g
.
T
h
e
B
AT
alg
o
r
ith
m
[
2
2
]
i
s
p
r
em
atu
r
e
ea
r
ly
wh
ich
lim
its
its
ab
ilit
y
to
f
in
d
o
p
tim
al
s
o
lu
tio
n
s
in
d
y
n
am
ic
f
o
g
c
o
m
p
u
tin
g
.
W
ith
th
e
h
elp
o
f
its
m
u
tatio
n
s
tr
ateg
ies,
it
d
y
n
am
ically
ad
j
u
s
ts
th
e
s
ea
r
ch
r
a
n
g
e
an
d
en
h
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ce
s
th
e
s
o
lu
tio
n
s
p
ac
e
e
x
p
lo
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ati
o
n
ef
f
ec
tiv
ely
.
T
h
e
p
r
esen
ce
o
f
d
iv
er
s
ity
m
u
tatio
n
in
STO
en
h
a
n
ce
s
th
e
a
b
ilit
y
to
p
r
e
v
en
t
in
ac
tiv
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in
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l
o
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tim
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h
er
ea
s
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AT
alg
o
r
i
th
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s
u
f
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er
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f
r
o
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ar
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eter
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ep
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en
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l
o
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l
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ea
r
ch
ten
d
en
cies.
T
h
e
DM
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STO
d
y
n
am
ically
ad
a
p
ts
n
o
n
-
lin
ea
r
ities
in
f
o
g
en
v
ir
o
n
m
en
ts
s
u
ch
as
p
r
o
ce
s
s
in
g
p
o
wer
an
d
f
lu
ctu
atin
g
b
an
d
wid
th
wh
ich
e
n
s
u
r
es
ef
f
ec
tiv
e
o
f
f
lo
a
d
in
g
d
ec
is
io
n
s
.
Mo
r
eo
v
er
,
it
r
e
d
u
ce
s
en
er
g
y
co
n
s
u
m
p
tio
n
b
y
ad
ap
tin
g
to
th
e
r
eso
u
r
ce
-
co
n
s
tr
ain
ed
an
d
h
eter
o
g
en
e
o
u
s
n
atu
r
e
o
f
f
o
g
c
o
m
p
u
tin
g
.
T
h
e
d
i
v
er
s
ity
m
u
tatio
n
m
ec
h
a
n
is
m
en
h
an
ce
s
th
e
ex
p
lo
r
atio
n
ab
ilit
y
to
d
y
n
am
ic
n
etwo
r
k
co
n
d
itio
n
s
th
er
eb
y
lead
in
g
to
ef
f
ec
ti
v
e
co
m
p
u
tatio
n
al
o
f
f
lo
ad
i
n
g
.
I
t
is
u
s
ed
f
o
r
th
e
o
f
f
lo
ad
i
n
g
p
r
o
ce
s
s
b
ec
au
s
e
o
f
its
ab
ilit
y
to
b
alan
ce
wo
r
k
lo
ad
s
am
o
n
g
lo
ca
l
d
ev
ices
an
d
f
o
g
n
o
d
es.
T
h
e
DM
-
STO
ac
h
iev
es
9
7
s
,
1
1
3
$
,
an
d
2
7
m
J
o
f
ex
ec
u
tio
n
ti
m
e,
s
er
v
ice
co
s
t
an
d
en
e
r
g
y
c
o
n
s
u
m
p
tio
n
f
o
r
1
0
0
I
o
T
r
eq
u
ests
with
a
f
ix
ed
f
o
g
s
er
v
er
o
f
1
0
.
5.
CO
NCLU
SI
O
N
T
h
e
DM
-
STO
alg
o
r
ith
m
is
p
r
o
p
o
s
ed
in
t
h
is
r
esear
ch
f
o
r
co
m
p
u
tatio
n
o
f
f
lo
ad
in
g
in
b
lo
ck
ch
ain
-
b
ased
f
o
g
c
o
m
p
u
tin
g
.
T
h
e
m
ain
g
o
a
l
o
f
t
h
is
r
esear
ch
is
t
o
s
elec
t
o
p
tim
al
au
th
o
r
ized
f
o
g
s
ev
er
with
b
lo
ck
c
h
ain
to
en
s
u
r
e
Qo
S
co
n
s
tr
ain
ts
with
less
en
er
g
y
co
n
s
u
m
p
tio
n
a
n
d
co
s
t.
T
h
e
b
lo
ck
c
h
ain
is
u
s
ed
f
o
r
s
ec
u
r
in
g
co
m
p
u
tatio
n
al
o
f
f
lo
a
d
in
g
an
d
attain
in
g
o
p
tim
al
Qo
S
o
f
m
o
b
ile
u
s
er
s
with
less
ex
ec
u
tio
n
tim
e
an
d
en
er
g
y
co
n
s
u
m
p
tio
n
.
T
h
e
d
iv
er
s
ity
m
u
tatio
n
m
ec
h
an
is
m
en
h
a
n
c
es
ex
p
lo
r
atio
n
ab
ilit
y
an
d
m
itig
ates
p
r
em
atu
r
e
co
n
v
er
g
en
ce
t
h
er
eb
y
en
a
b
lin
g
r
eliab
le
o
f
f
lo
a
d
in
g
d
ec
is
io
n
s
am
o
n
g
h
eter
o
g
en
eo
u
s
f
o
g
n
o
d
es.
T
h
e
DM
-
STO
f
r
am
ewo
r
k
is
s
u
itab
le
f
o
r
laten
cy
-
s
en
s
itiv
e
an
d
r
eso
u
r
ce
co
n
s
tr
ain
ed
ap
p
licatio
n
s
s
u
ch
as
s
m
ar
t
citie
s
,
h
ea
lth
ca
r
e
m
o
n
ito
r
in
g
,
in
d
u
s
t
r
ial
I
o
T
an
d
in
tellig
en
t
tr
a
n
s
p
o
r
tatio
n
s
y
s
tem
s
wh
er
e
s
ec
u
r
e
task
o
f
f
l
o
ad
in
g
is
s
ig
n
if
ican
t.
T
h
e
ac
h
iev
ed
r
ed
u
ctio
n
s
in
ex
ec
u
tio
n
tim
e
a
n
d
e
n
er
g
y
co
n
s
u
m
p
tio
n
d
em
o
n
s
tr
ates
its
p
o
ten
tial
f
o
r
d
ep
lo
y
m
e
n
t
in
r
ea
l
-
tim
e
f
o
g
co
m
p
u
tin
g
in
f
r
astru
ctu
r
es.
T
h
e
ex
p
er
im
e
n
tal
ev
alu
atio
n
wa
s
co
n
d
u
cted
u
n
d
er
s
im
u
lated
en
v
ir
o
n
m
en
ts
with
f
ix
ed
f
o
g
s
er
v
er
co
n
f
ig
u
r
atio
n
s
an
d
r
ea
l
-
tim
e
n
etwo
r
k
u
n
ce
r
tain
ties
s
u
ch
as
m
o
b
ilit
y
p
atter
n
s
,
lar
g
e
-
s
ca
le
d
ep
lo
y
m
en
ts
a
n
d
n
o
d
e
f
ail
u
r
es
ar
e
n
o
t
f
u
lly
co
n
s
id
er
e
d
.
T
h
e
b
l
o
ck
ch
ain
co
n
s
en
s
u
s
o
v
er
h
ea
d
was
n
o
t
e
x
ten
s
iv
ely
an
aly
ze
d
u
n
d
er
h
ig
h
er
tr
an
s
ac
tio
n
lo
ad
s
.
Fu
tu
r
e
wo
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k
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f
o
c
u
s
o
n
ex
ten
d
in
g
th
e
f
r
a
m
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k
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g
e
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o
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n
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m
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h
a
n
is
m
f
o
r
o
f
f
lo
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d
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.
F
UNDING
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