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1.
I
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D
UCT
I
O
N
W
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cr
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in
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m
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co
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p
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d
er
g
o
i
n
g
a
ch
al
len
g
i
n
g
s
it
u
atio
n
[
1
]
.
I
t
is
f
o
u
n
d
th
at
m
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o
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ity
o
f
t
h
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ex
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p
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iv
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[
2
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w
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er
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m
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el
w
i
ll
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s
is
t
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d
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a
-
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[
3
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.
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ll
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o
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cl
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d
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p
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r
eso
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r
ce
v
ir
tu
aliza
t
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n
m
ec
h
a
n
is
m
[
4
]
.
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w
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v
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,
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e
ch
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g
e
in
th
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v
ir
tu
al
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p
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s
s
in
clo
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is
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s
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g
h
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ep
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cieso
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ac
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ex
p
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[
5
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.
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eq
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[
6
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.
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ter
m
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c
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etc
[
7
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,
[
8
].
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p
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m
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o
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f
r
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m
an
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tr
ateg
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s
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tio
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cr
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t
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[
9
].
A
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th
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w
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r
k
lo
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d
b
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k
lo
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s
to
th
e
Vir
t
u
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Ma
ch
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e
(
VM
)
[
10
]
.
Var
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s
co
m
p
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ts
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s
o
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,
SL
A
Evaluation Warning : The document was created with Spire.PDF for Python.
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an
d
li
n
g
h
eter
o
g
e
n
eo
u
s
w
o
r
k
lo
ad
s
,
en
er
g
y
e
f
f
icie
n
c
y
,
p
r
ed
ictab
ilit
y
,
elast
icit
y
,
m
i
g
r
atio
n
-
b
ased
ap
p
r
o
ac
h
es
etc.
[
11
].
T
h
is
r
esear
ch
p
ap
e
r
p
r
e
s
en
t
s
a
m
o
d
el
th
a
t
ad
d
r
ess
es
th
e
p
r
o
b
lem
s
o
f
t
h
e
ex
is
ti
n
g
s
y
s
te
m
.
T
h
e
o
r
g
an
izatio
n
o
f
t
h
e
p
ap
er
is
as
f
o
llo
w
s
:
Sectio
n
1
.
1
d
is
cu
s
s
es
ab
o
u
t
t
h
e
b
ac
k
g
r
o
u
n
d
o
f
th
e
s
t
u
d
y
,
Sect
io
n
1
.
2
d
is
cu
s
s
es
ab
o
u
t
t
h
e
p
r
o
b
lem
id
e
n
tif
ied
i
n
th
e
s
tu
d
y
,
an
d
Sectio
n
1
.
3
p
r
esen
ts
b
r
ief
d
is
cu
s
s
io
n
o
f
p
r
o
p
o
s
ed
s
y
s
te
m
.
Sectio
n
2
d
is
cu
s
s
e
s
ab
o
u
t
th
e
alg
o
r
it
h
m
i
m
p
le
m
en
ta
tio
n
f
o
llo
w
ed
b
y
an
al
y
s
is
o
f
r
esu
lt
ac
co
m
p
li
s
h
ed
f
r
o
m
t
h
e
s
t
u
d
y
.
F
in
al
l
y
Se
ctio
n
4
m
ak
e
s
s
o
m
e
co
n
clu
d
i
n
g
r
e
m
ar
k
s
.
1
.
1
.
B
a
ck
g
ro
un
d
T
h
is
s
ec
tio
n
d
is
c
u
s
s
es
ab
o
u
t
th
e
b
ac
k
g
r
o
u
n
d
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
b
r
ief
i
n
g
o
u
t
t
h
e
s
ig
n
if
ican
t
r
esear
ch
w
o
r
k
ca
r
r
ied
o
u
t
in
t
h
is
ar
ea
o
f
r
eso
u
r
ce
m
a
n
ag
e
m
en
t
in
clo
u
d
co
m
p
u
ti
n
g
an
d
d
ata
ce
n
ter
s
.
Nah
ir
an
d
Or
d
a
[
1
2
]
h
av
e
p
r
ese
n
ted
a
tech
n
iq
u
e
o
f
r
eso
u
r
ce
m
a
n
a
g
e
m
e
n
t
f
o
r
clo
u
d
en
v
ir
o
n
m
e
n
t
.
T
h
e
au
th
o
r
s
h
a
v
e
in
tr
o
d
u
ce
d
a
f
o
r
m
a
l
f
r
a
m
e
w
o
r
k
f
o
r
lo
ad
-
b
alan
ci
n
g
u
s
in
g
u
n
iq
u
e
m
a
n
ag
e
m
e
n
t
p
o
licies
o
f
VM
.
T
h
e
s
t
u
d
y
o
u
tco
m
e
w
as
te
s
ti
f
ied
u
s
in
g
o
v
er
h
ea
d
o
n
m
ea
n
q
u
e
u
e.
Sa
r
as
w
a
th
i
et
al
[
1
3
]
h
av
e
d
ev
elo
p
ed
a
tech
n
iq
u
e
r
eso
u
r
ce
allo
ca
tio
n
u
s
i
n
g
d
y
n
a
m
ic
p
o
licies.
T
h
e
p
r
im
e
g
o
al
o
f
th
i
s
tec
h
n
iq
u
e
w
as
to
al
lo
ca
te
ef
f
icie
n
t
VM
to
th
e
r
eq
u
ester
.
T
h
e
alg
o
r
it
h
m
d
eisg
n
o
f
t
h
e
s
t
u
d
y
i
s
ca
r
r
ied
o
u
t
o
n
s
elec
t
io
n
an
d
e
x
ec
u
ti
o
n
o
f
h
i
g
h
p
r
io
r
it
y
task
.
T
h
e
a
n
al
y
s
is
w
as
ca
r
r
i
ed
o
u
t
u
s
i
n
g
ti
m
e
a
n
d
n
u
m
b
er
o
f
p
r
o
ce
s
s
in
g
e
le
m
e
n
t
s
an
d
h
o
s
t
n
u
m
b
er
.
W
ei
et
al.
[
1
4
]
h
av
e
p
r
ese
n
ted
a
co
m
p
letel
y
n
e
w
tec
h
n
iq
u
e
o
f
r
eso
u
r
ce
a
llo
ca
tio
n
o
f
h
eter
eo
g
en
eo
u
s
t
y
p
e
s
f
o
r
ca
ter
in
g
u
p
m
u
ltip
le
d
e
m
a
n
d
s
o
n
th
e
clo
u
d
-
b
ased
n
et
w
o
r
k
s
.
T
h
e
p
r
im
e
ai
m
o
f
th
e
tec
h
n
i
q
u
es
w
as
to
r
esis
t
u
tili
za
t
io
n
o
f
s
k
e
w
ed
r
eso
u
r
c
es
o
v
er
p
h
y
s
ical
s
er
v
er
u
s
i
n
g
r
eso
u
r
ce
-
b
ased
p
r
ed
ictio
n
a
p
p
r
o
ac
h
.
T
h
e
s
tu
d
y
o
u
tco
m
e
w
a
s
ass
e
s
s
ed
u
s
i
n
g
ar
r
iv
al
r
ate,
n
u
m
b
er
o
f
ac
t
iv
e
p
h
y
s
ical
s
er
v
er
,
u
tili
za
tio
n
,
s
k
e
w
n
es
s
,
an
d
d
ela
y
.
Stu
d
y
o
n
d
y
n
a
m
ic
allo
ca
tio
n
o
f
r
eso
u
r
ce
s
w
a
s
al
s
o
ca
r
r
ied
o
u
t
b
y
Ya
n
g
et
al
[1
5
]
.
T
h
e
p
r
esen
ted
tec
h
n
iq
u
e
p
er
f
o
r
m
s
a
u
to
n
o
m
o
u
s
m
i
g
r
ati
o
n
o
f
th
e
j
o
b
s
a
m
o
n
g
t
h
e
VM
s
d
ep
en
d
in
g
o
n
t
h
e
a
m
o
u
n
t o
f
l
o
ad
.
T
h
e
r
esu
lt
w
a
s
ass
es
s
ed
u
s
in
g
ti
m
e
w
i
th
in
cr
ea
s
in
g
s
ize
o
f
p
r
o
b
le
m
an
d
C
P
U
u
tili
za
tio
n
u
s
in
g
Op
e
n
Ne
b
u
la.
Sel
v
ar
an
i
a
n
d
Sad
h
asi
v
a
m
[
1
6
]
h
av
e
p
r
ese
n
ted
a
task
s
ch
ed
u
li
n
g
s
c
h
e
m
e
o
v
er
clo
u
d
in
o
r
d
er
to
p
e
r
f
o
r
m
m
ap
p
in
g
o
f
t
h
e
r
eq
u
ir
ed
r
eso
u
r
ce
s
.
T
h
e
co
s
t
o
f
r
eso
u
r
ce
s
a
s
w
e
ll
a
s
p
e
r
f
o
r
m
an
ce
o
f
co
m
p
u
tatio
n
is
esti
m
ated
b
y
t
h
e
p
r
esen
ted
tech
n
iq
u
e
an
d
its
o
u
tco
m
e
w
as
a
n
al
y
ze
d
w
it
h
r
esp
ec
t
to
tim
e
a
n
d
co
s
t.
Usag
e
o
f
o
p
ti
m
izatio
n
s
ch
e
m
e
w
a
s
also
s
ee
n
i
n
liter
a
tu
r
es
to
w
ar
d
s
r
eso
u
r
ce
m
a
n
ag
e
m
en
t
p
o
lic
y
f
o
r
m
u
latio
n
.
T
h
e
w
o
r
k
d
o
n
e
b
y
L
i
u
et
al
[
1
7
]
h
as
im
p
le
m
e
n
ted
an
t
co
lo
n
y
o
p
ti
m
iza
tio
n
as
w
el
l
as
g
en
etic
al
g
o
r
ith
m
th
at
s
i
g
n
i
f
ica
n
tl
y
ass
is
t
i
n
p
er
f
o
r
m
in
g
f
as
ter
s
ea
r
c
h
to
w
a
r
d
o
p
tim
al
r
es
u
lts
.
T
h
e
s
t
u
d
y
o
u
tco
m
e
w
as
co
m
p
ar
ed
w
i
th
i
n
d
iv
id
u
al
o
u
tco
m
e
s
f
r
o
m
Ge
n
etic
al
g
o
r
ith
m
a
n
d
an
t
co
lo
n
y
o
p
ti
m
izatio
n
to
o
.
Z
h
u
et
al
[
1
8
]
h
a
v
e
i
n
tr
o
d
u
ce
d
a
f
r
a
m
e
w
o
r
k
t
h
at
p
er
f
o
r
m
s
p
r
o
v
is
io
n
in
g
o
f
r
es
o
u
r
ce
s
an
d
ef
f
ec
ti
v
e
s
ch
ed
u
l
in
g
o
f
tas
k
.
T
h
e
au
th
o
r
s
h
a
v
e
in
co
r
p
o
r
ated
a
s
o
f
t
w
ar
e
-
en
g
i
n
ee
r
in
g
b
ased
tech
n
iq
u
e
in
o
r
d
er
to
p
e
r
f
o
r
m
s
ch
ed
u
li
n
g
.
P
an
d
a
et
al
[
1
9
]
h
a
v
e
d
is
cu
s
s
ed
ab
o
u
t
an
al
g
o
r
ith
m
t
h
at
tar
g
et
s
m
u
lt
ip
le
en
v
ir
o
n
m
en
t
s
o
f
clo
u
d
b
ased
o
n
s
m
o
o
th
e
n
i
n
g
co
n
ce
p
t
.
T
h
e
ev
al
u
atio
n
o
f
th
e
s
tu
d
y
w
as
ca
r
r
ied
o
u
t
u
s
i
n
g
b
ig
g
er
d
ataset
o
f
h
eter
o
g
e
n
e
o
u
s
t
y
p
e
s
.
C
a
to
n
et
a
l.
[
2
0
]
h
av
e
p
r
esen
ted
a
v
er
y
u
n
iq
u
e
tec
h
n
iq
u
e
th
at
u
s
es
th
e
p
o
ten
tial
n
et
w
o
r
k
in
g
attr
ib
u
te
s
o
f
s
o
cial
n
et
w
o
r
k
in
o
r
d
er
to
ca
r
r
y
o
u
t
r
eso
u
r
ce
allo
ca
tio
n
in
clo
u
d
.
T
h
e
i
m
p
lem
en
tatio
n
o
f
th
e
tec
h
n
iq
u
e
was
ca
r
r
ied
o
u
t
o
v
er
o
p
en
s
o
u
r
ce
f
r
a
m
e
w
o
r
k
u
s
in
g
s
to
ch
ast
ic
m
o
d
elli
n
g
o
f
n
o
d
e
p
ar
ticip
atio
n
p
r
o
ce
s
s
.
Y
u
et
al
[
21
]
h
av
e
d
ev
elo
p
ed
a
tec
h
n
iq
u
e
o
f
r
eso
u
r
ce
m
an
a
g
e
m
e
n
t
o
v
er
v
eh
icu
lar
n
et
w
o
r
k
w
i
th
a
n
aid
o
f
VM
m
ig
r
atio
n
s
c
h
e
m
es.
A
h
ier
ar
ch
i
ca
l
ar
ch
itectu
r
e
is
p
r
esen
ted
in
th
i
s
s
c
h
e
m
e
t
h
a
t
p
er
f
o
r
m
s
s
h
ar
i
n
g
o
f
th
e
r
e
s
o
u
r
ce
s
o
v
er
v
e
h
icle
clo
u
d
n
et
w
o
r
k
.
T
h
e
s
tu
d
y
o
u
tco
m
e
w
a
s
ev
al
u
ated
w
i
th
r
esp
ec
t
to
r
ate
o
f
ar
r
iv
al
o
f
l
o
ca
l
VM
s
.
Me
er
a
an
d
S
w
a
m
y
n
at
h
a
n
[
2
2
]
h
av
e
in
tr
o
d
u
ce
d
a
s
ch
e
m
e
t
h
at
p
er
f
o
r
m
i
n
g
m
o
n
ito
r
in
g
o
f
an
ess
e
n
tial
r
eso
u
r
ce
s
o
v
er
th
e
clo
u
d
u
s
in
g
ag
e
n
t
-
b
ased
ap
p
r
o
ac
h
.
T
h
e
s
tu
d
y
m
ain
l
y
ca
p
tu
r
es
t
h
e
m
e
m
o
r
y
an
d
co
m
p
u
tat
io
n
al
r
eso
u
r
ce
u
t
ilizati
o
n
.
Xu
a
n
d
L
i
[
2
3
]
h
av
e
p
r
ese
n
ted
a
f
r
a
m
e
w
o
r
k
th
at
co
n
s
id
er
i
n
g
s
tead
y
m
at
ch
in
g
m
o
d
ell
in
g
i
n
o
r
d
er
to
d
ec
o
u
p
le
v
ar
io
u
s
p
r
o
cu
ed
u
r
es
o
f
VM
m
ap
p
in
g
p
r
in
cip
le
o
v
er
p
h
y
s
ical
s
e
r
v
er
s
.
Usi
n
g
ex
p
er
i
m
en
tal
b
ased
ap
p
r
o
ac
h
,
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
w
as
test
ed
o
n
2
0
n
o
d
e
clu
s
ter
s
.
Y
u
e
t
al
[
2
4
]
h
av
e
p
r
ese
n
ted
a
tec
h
n
i
q
u
e
o
f
s
h
ar
i
n
g
a
n
d
ef
f
ec
tiv
e
m
a
n
a
g
e
m
e
n
t
o
f
c
lo
u
d
r
eso
u
r
ce
s
(
ex
cu
s
i
v
el
y
f
o
r
ch
an
n
el
ca
p
ac
it
y
)
.
T
h
e
ar
ch
i
tect
u
r
e
ad
o
p
ted
b
y
th
e
au
th
o
r
is
n
ea
r
l
y
s
i
m
ilar
to
s
o
cial
in
ter
n
e
t o
f
v
e
h
icle
s
.
1
.
2
.
T
he
P
ro
ble
m
A
lt
h
o
u
g
h
t
h
er
e
ar
e
v
ar
io
u
s
r
esear
ch
w
o
r
k
b
ei
n
g
ca
r
r
ied
o
u
t
to
w
ar
d
s
en
h
a
n
cin
g
t
h
e
p
r
o
ce
s
s
o
f
r
eso
u
r
ce
allo
ca
tio
n
in
c
lo
u
d
en
v
ir
o
n
m
e
n
t,
b
u
t
s
till
ce
r
tai
n
tech
n
ical
f
la
w
s
r
esid
e
i
n
th
e
s
o
lu
tio
n
b
u
ild
in
g
p
r
o
ce
s
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
7
:
4
9
6
–
5
04
498
T
h
e
f
o
llo
w
i
n
g
ar
e
t
h
e
p
r
o
b
lem
id
en
tific
atio
n
s
o
f
t
h
e
p
r
o
p
o
s
e
d
s
tu
d
y
:
a.
T
h
e
ex
is
ti
n
g
r
esear
c
h
w
o
r
k
to
w
ar
d
s
r
eso
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r
ce
allo
ca
tio
n
d
o
esn
’
t
f
o
c
u
s
o
n
s
y
n
c
h
r
o
n
o
u
s
f
ac
to
r
o
f
VM
s
f
o
r
w
h
ic
h
r
ea
s
o
n
tas
k
s
c
h
ed
u
lin
g
a
m
o
n
g
th
e
V
M
is
s
t
ill u
n
s
o
lv
e
d
is
s
u
e.
b.
T
h
e
d
ec
is
io
n
o
f
r
eso
u
r
ce
allo
c
atio
n
ar
e
m
ai
n
l
y
i
m
p
le
m
en
ted
u
s
i
n
g
d
eter
m
i
n
is
tic
ap
p
r
o
ac
h
w
h
ic
h
is
k
n
o
w
n
f
o
r
its
o
v
er
h
ea
d
cr
ea
tio
n
o
v
er
h
ig
h
l
y
d
is
tr
ib
u
ted
n
et
w
o
r
k
li
k
e
clo
u
d
.
c.
A
t
p
r
ese
n
t,
t
h
er
e
ar
e
n
o
s
tu
d
i
es
w
h
ic
h
e
x
p
lo
i
t
th
e
j
o
in
t
o
p
er
atio
n
s
o
f
all
th
e
a
v
ailab
le
VM
s
in
o
r
d
er
to
ex
p
lo
it th
e
f
u
ll p
o
ten
tial
s
o
f
V
M.
T
h
er
ef
o
r
e,
in
s
p
ite
o
f
m
u
ltip
le
r
esear
ch
co
n
tr
ib
u
tio
n
in
ex
is
t
in
g
s
y
s
te
m
th
er
e
is
n
o
a
s
in
g
le
b
en
ch
m
ar
k
ed
m
o
d
el
to
b
e
s
p
o
k
en
o
f
i
n
t
h
is
r
e
g
ar
d
.
T
h
e
p
o
ten
tial
c
h
ar
a
cter
is
tic
s
o
f
V
M
w
er
e
n
e
v
er
f
u
ll
y
ex
p
lo
ited
an
d
w
er
e
al
w
a
y
s
s
e
en
as
a
s
in
g
le
en
tit
y
w
h
er
ea
s
a
n
o
v
el
f
r
a
m
e
w
o
r
k
w
ith
c
h
ai
n
o
f
VM
w
ith
s
o
m
e
s
ig
n
i
f
ica
n
t
b
eh
a
v
io
u
r
al
c
h
ar
a
cter
is
tics
m
o
d
elli
n
g
m
a
y
ad
d
n
e
w
f
u
n
ct
io
n
alit
ies
to
m
in
i
m
i
ze
tas
k
co
m
p
let
io
n
ti
m
e.
Hen
ce
,
t
h
er
e
is
a
n
ee
d
o
f
a
n
o
v
el
m
o
d
el
th
at
p
er
f
o
r
m
s
au
to
n
o
m
o
u
s
d
ec
is
io
n
m
a
k
in
g
p
r
ac
tices
i
n
th
e
d
y
n
a
m
ic
e
n
v
ir
o
n
m
e
n
t
o
f
clo
u
d
in
o
r
d
er
to
f
ac
ilit
ate
r
eso
u
r
ce
allo
ca
tio
n
.
T
h
e
n
e
x
t
s
ec
t
io
n
p
r
esen
t
s
a
n
o
v
e
l
f
r
a
m
e
w
o
r
k
th
at
ad
d
r
ess
e
s
th
e
r
esear
ch
p
r
o
b
lem
s
b
r
ief
i
n
t
h
i
s
s
ec
tio
n
f
o
llo
w
ed
b
y
al
g
o
r
ith
m
d
is
cu
s
s
io
n
.
1
.
3
.
T
he
P
ro
po
s
ed
So
lutio
n
T
h
e
m
ai
n
p
u
r
p
o
s
e
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
is
to
d
esig
n
a
f
r
am
e
w
o
r
k
ca
lled
FDMC
o
f
Fra
m
e
w
o
r
k
f
o
r
Dec
is
io
n
Ma
k
in
g
i
n
clo
u
d
en
v
ir
o
n
m
e
n
t
f
o
r
en
h
an
c
in
g
th
e
e
f
f
icie
n
c
y
i
n
r
eso
u
r
ce
m
a
n
a
g
e
m
en
t.
T
h
is
w
o
r
k
i
s
a
co
n
tin
u
atio
n
o
f
o
u
r
p
r
io
r
tech
n
iq
u
e
s
[
25
]
.
T
h
e
en
t
ir
e
i
m
p
le
m
en
tatio
n
is
f
o
c
u
s
s
ed
o
n
e
x
p
l
o
itin
g
t
h
e
p
o
ten
tia
l
u
tili
za
t
io
n
o
f
VM
.
Fi
g
u
r
e
1
h
i
g
h
l
ig
h
t
s
th
e
p
r
o
p
o
s
ed
s
ch
e
m
e
o
f
FDMC.
J
o
i
n
t
O
p
e
r
a
t
i
o
n
S
c
h
e
m
e
I
n
c
e
n
t
i
v
e
C
o
m
p
u
t
a
t
i
o
n
V
i
r
t
u
a
l
M
a
c
h
i
n
e
M
o
d
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l
l
i
n
g
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t
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t
u
s
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m
p
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t
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t
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o
n
B
u
s
y
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d
l
e
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i
s
t
o
f
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a
p
a
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t
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o
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t
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p
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r
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t
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n
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k
A
l
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o
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t
m
a
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a
s
k
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e
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t
D
e
c
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o
n
M
a
k
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n
g
M
o
d
e
l
l
i
n
g
Fig
u
r
e
1
.
Sch
e
m
atic
Dia
g
r
a
m
o
f
P
r
o
p
o
s
ed
FDMC
T
h
e
p
r
o
p
o
s
ed
f
r
a
m
e
w
o
r
k
i
s
ess
e
n
tiall
y
d
iv
id
ed
in
to
t
w
o
co
r
e
co
m
p
o
n
e
n
ts
i.e
.
i)
j
o
in
t
o
p
er
atio
n
s
ch
e
m
e
an
d
ii)
d
ec
is
io
n
m
ak
i
n
g
s
c
h
e
m
e.
T
h
e
j
o
in
t
o
p
e
r
atio
n
s
ch
e
m
e
is
m
ai
n
l
y
d
esi
g
n
e
d
to
ex
p
lo
it
th
e
f
u
ll
p
o
ten
tials
o
f
j
o
b
p
r
o
ce
s
s
in
g
b
y
Vir
tu
al
m
ac
h
i
n
e
(
VM
)
in
o
r
d
er
to
en
s
u
r
e
b
etter
s
y
n
c
h
r
o
n
o
cit
y
a
m
o
n
g
th
e
V
M
s
w
h
ic
h
i
n
d
ir
ec
tl
y
co
m
m
u
n
icate
w
it
h
t
h
e
d
ata
ce
n
ter
s
.
T
h
i
s
co
m
p
o
n
en
t
p
r
i
m
ar
il
y
p
er
f
o
r
m
s
t
h
e
ta
s
k
o
f
r
e
s
o
u
r
ce
allo
ca
tio
n
to
th
e
V
M
w
it
h
t
h
e
h
elp
o
f
tas
k
allo
ca
to
r
,
h
o
s
t
m
ac
h
in
e,
a
n
d
tas
k
r
eq
u
est.
I
t
th
en
in
ter
ac
t
s
w
it
h
m
o
d
ell
in
g
o
f
v
ir
t
u
al
m
ac
h
in
e
o
n
t
h
e
b
as
is
o
f
it
s
o
p
er
ati
o
n
al
s
ta
te
o
f
b
u
s
y
o
r
id
le.
T
h
e
s
ig
n
i
f
ica
n
t
s
tep
p
er
f
o
r
m
ed
b
y
J
o
in
t
o
p
er
atio
n
s
ch
e
m
e
is
also
to
f
i
lter
th
e
VM
b
ased
o
n
its
o
p
er
atio
n
al
s
tatu
s
i
n
o
r
d
er
to
p
er
f
o
r
m
d
y
n
a
m
ic
j
o
b
s
w
ap
p
in
g
a
m
o
n
g
t
h
e
eli
g
ib
le
VM
s
.
T
h
e
VM
s
ar
e
co
n
s
id
er
ed
elig
ib
le
if
th
e
y
h
a
v
e
lo
w
er
m
e
m
o
r
y
d
e
m
a
n
d
s
an
d
m
o
r
e
co
m
m
u
n
icatio
n
v
ec
to
r
s
.
T
h
e
n
ex
t
co
m
p
o
n
en
t
i
s
d
ec
is
io
n
m
ak
in
g
m
o
d
elli
n
g
w
h
ic
h
is
r
esp
o
n
s
ib
le
f
o
r
a
w
ar
d
in
g
t
h
e
VM
th
at
p
ar
ticip
ate
in
s
u
cc
e
s
s
f
u
l
tas
k
s
ch
ed
u
li
n
g
p
r
o
ce
s
s
.
Ho
w
ev
er
,
i
n
o
r
d
er
to
u
n
d
er
tak
e
d
ec
i
s
io
n
,
t
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
d
o
h
av
e
d
ep
en
d
en
cies
o
n
k
n
o
w
led
g
e
-
b
as
ed
attr
ib
u
te
e.
g
.
li
s
t
of
elig
ib
le
VM
as
w
ell
as
ca
p
ab
ilit
ies
o
f
elig
ib
le
VM
b
as
ed
o
n
th
is
p
r
io
r
s
tatu
s
.
T
h
e
s
y
s
te
m
t
h
an
co
m
p
u
tes
in
ce
n
tiv
e
s
u
s
in
g
e
m
p
ir
ical
m
ea
n
s
p
r
ec
is
el
y
f
o
r
th
e
VM
u
n
d
er
o
b
s
er
v
atio
n
a
n
d
t
h
en
p
er
f
o
r
m
s
allo
ca
tio
n
o
f
n
ec
es
s
ar
y
a
m
o
u
n
t
o
f
in
ce
n
ti
v
es
to
t
h
e
VM
s
.
O
n
e
i
n
ter
e
s
tin
g
f
ac
t
o
f
t
h
e
p
r
o
p
o
s
ed
tech
n
i
q
u
e
is
t
h
at
alt
h
o
u
g
h
in
ce
n
tiv
e
s
ar
e
allo
ca
ted
to
all
t
y
p
e
s
o
f
el
ig
ib
le
VM
,
b
u
t
it
h
a
s
its
o
w
n
s
e
lectio
n
p
r
o
ce
s
s
.
I
f
in
ca
s
e
a
VM
ta
k
es
u
p
a
j
o
b
b
u
t
co
u
ld
n
o
t
p
r
o
ce
s
s
it
co
m
p
letel
y
,
th
e
in
ce
n
ti
v
e
is
co
m
p
letel
y
w
it
h
d
r
a
w
n
.
Ho
w
e
v
er
,
if
s
u
c
h
VM
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
F
DMC
:
F
r
a
mewo
r
k
fo
r
Dec
is
io
n
Ma
kin
g
in
C
lo
u
d
fo
r
E
fficien
t R
eso
u
r
ce
Ma
n
a
g
eme
n
t
(
A
lexa
n
d
er N
g
en
z
i
)
499
ch
o
o
s
e
to
j
o
in
tl
y
w
o
r
k
w
i
th
o
th
er
VM
to
p
r
o
ce
s
s
th
e
s
a
m
e
t
ask
t
h
a
n
tas
k
co
m
p
let
io
n
ti
m
e
w
i
ll
b
e
m
i
n
i
m
ized
.
Mo
r
eo
v
er
,
in
th
is
p
r
o
ce
s
s
lar
g
e
p
ar
ticip
atio
n
o
f
th
e
VM
c
an
b
e
en
s
u
r
ed
in
o
r
d
er
to
g
ai
n
th
e
i
n
ce
n
tiv
e
a
n
d
h
en
ce
t
h
e
co
m
m
u
n
icati
o
n
p
er
f
o
r
m
a
n
ce
ca
n
b
e
g
r
ea
tl
y
i
n
cr
ea
s
ed
w
it
h
o
u
t
an
y
i
n
cl
u
s
io
n
o
f
a
n
y
ex
ter
n
al
ag
e
n
ts
.
Hen
ce
,
t
h
e
p
r
o
p
o
s
ed
d
ec
is
io
n
m
ak
in
g
m
o
d
el
au
to
m
o
u
s
l
y
co
m
p
u
te
s
a
n
d
allo
ca
tes
i
n
ce
n
ti
v
e
b
ased
o
n
th
e
d
eg
r
ee
o
f
tas
k
b
ei
n
g
co
m
p
let
ed
w
h
ich
is
co
n
s
i
s
te
n
tl
y
m
o
n
i
to
r
ed
an
d
s
i
m
u
late
n
o
u
s
l
y
th
e
r
esp
ec
tiv
e
s
tatu
s
o
f
th
e
VM
is
u
p
d
ated
.
T
h
e
n
ex
t
s
ec
tio
n
d
i
s
cu
s
s
e
s
ab
o
u
t
t
h
e
a
lg
o
r
ith
m
i
m
p
le
m
e
n
tatio
n
an
d
r
esu
lt
o
u
tco
m
e
s
o
f
p
r
o
p
o
s
ed
s
y
s
te
m
.
2.
AL
G
O
RI
T
H
M
I
M
P
L
E
M
E
NT
A
T
I
O
N
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
m
a
in
l
y
r
esp
o
n
s
ib
le
f
o
r
allo
ca
tio
n
o
f
i
n
ce
n
tiv
e
o
n
l
y
f
o
r
th
e
s
y
s
t
e
m
w
h
ic
h
en
co
u
r
ag
e
s
g
r
o
u
p
i
n
g
o
r
jo
in
t
u
s
a
g
e
o
f
t
h
e
VM
o
v
er
clo
u
d
en
v
ir
o
n
m
e
n
t.
T
h
e
alg
o
r
ith
m
t
ak
es
t
h
e
in
p
u
t
o
f
J
(
J
o
b
Nu
m
b
er
)
,
R
(
R
eq
u
est
t
y
p
es),
VM
i
(
VM
o
f
i
t
y
p
es),
H
(
Nu
m
b
er
o
f
Ho
s
t
Ma
c
h
i
n
e
)
,
S
(
Sw
itc
h
e
s
)
,
C
V
(
C
o
m
m
u
n
icatio
n
v
ec
to
r
o
f
h
o
s
t)
,
mem
req
(
m
e
m
o
r
y
r
eq
u
ir
ed
)
,
w
h
ic
h
a
f
ter
p
r
o
ce
s
s
i
n
g
g
i
v
e
s
t
h
e
o
u
tp
u
t
o
f
in
c
(
in
ce
n
t
iv
e)
.
Alg
o
rit
h
m
f
o
r
incent
iv
e
a
llo
ca
t
io
n
I
np
ut
: J
,
R
,
VM
i
,
H,
S,
C
V
,
m
e
m
req
O
utput
: in
c
Sta
rt
1.
in
it J
,
R
,
VM
i
,
H,
S,
C
V
//i=
4
2
.
d
ef
av
ailab
ilit
y
C
v
>
m
e
m
req
3
.
I
f
av
ailab
ilit
y
=1
4
.
s
et
s
tatu
s
=1
5
.
else,
s
et
s
tau
s
=0
6
.
f
o
r
i=1
:H
7
.
f
o
r
j
=1
:H
8
.
g
r
o
u
p
m
at
=C
v
(
i)
+
C
v
(
j
)
9
.
en
d
1
0
.
en
d
1
1
.
f
o
r
i=1
:H
-
1
1
2
.
if
η
(
i)
<
m
e
m
req
1
3
.
in
c
=(
η
(
i)
-
m
e
m
req
)
*
C
v
(
i)
/η
(
i)
1
4
.
else if
η
(
i)
=
m
e
m
req
15
.
in
c=
δ.C
v
(
i)
/
η
(
i)
//δ
c
o
n
s
ta
n
t
1
6
.
else if
η
(
i)
>
m
e
m
req
1
7
.
in
c=
δ
-
(
η
(
i)
-
.C
v
(
i)
/η
(
i)
)
*
C
v
(
i)
/
η
(
i)
//δ
co
n
s
tan
t
E
nd
T
h
e
alg
o
r
ith
m
d
e
f
i
n
es
its
in
iti
al
t
y
p
es
o
f
t
h
e
j
o
b
s
w
ith
r
esp
ec
t
to
t
h
e
n
u
m
b
er
a
n
d
u
s
es
a
p
ar
ticu
lar
id
en
ti
f
icatio
n
to
r
ec
o
g
n
ize
it.
I
t
also
m
ain
tain
s
a
m
a
tr
ix
o
f
4
d
if
f
er
en
t
t
y
p
e
s
o
f
r
eq
u
e
s
t
(
R
)
alo
n
g
w
it
h
4
d
if
f
er
e
n
t
t
y
p
e
s
o
f
VM
co
n
f
i
g
u
r
atio
n
i
n
t
h
e
f
o
r
m
o
f
m
a
tr
ix
i.e
.
s
m
all,
m
ed
iu
m
,
lar
g
e,
a
n
d
ex
tr
a
lar
g
e.
T
h
e
s
y
s
te
m
co
n
s
i
d
er
s
4
0
0
-
1
0
0
0
h
o
s
t
m
ac
h
in
e
s
w
it
h
4
t
y
p
es
o
f
VM
s
w
h
er
e
th
e
cr
ea
tio
n
o
f
VM
is
ess
e
n
tiall
y
ca
r
r
ied
o
u
t
u
s
i
n
g
j
o
b
n
u
m
b
er
an
d
m
et
h
o
d
d
ep
lo
y
ed
.
T
h
e
alg
o
r
ith
m
al
s
o
f
o
r
m
u
late
s
co
m
m
u
n
icat
io
n
v
ec
to
r
w
h
ic
h
co
n
s
is
t
s
o
f
all
th
e
p
o
te
n
tial
co
n
f
i
g
u
r
atio
n
s
o
f
t
h
e
e
x
i
s
tin
g
VM
s
w
it
h
a
d
ef
in
ed
m
e
m
o
r
y
(
L
in
e
-
2
)
.
A
h
o
s
t
m
ac
h
i
n
e
i
s
o
n
l
y
d
ec
lar
ed
to
b
e
av
ai
lab
le
i
f
t
h
e
co
m
m
u
n
icat
io
n
v
ec
to
r
(
C
v
)
is
f
o
u
n
d
to
b
e
m
o
r
e
t
h
a
n
m
e
m
o
r
y
d
e
m
an
d
s
(
m
e
m
req
)
(
L
in
e
-
2
)
.
I
t
t
h
en
iter
ate
s
to
c
h
e
ck
f
o
r
t
h
e
e
n
tire
h
o
s
t
H
f
o
r
it
s
a
v
ailab
ilit
y
s
tat
u
s
(L
in
e
-
3
-
L
in
e
-
5
)
.
T
h
e
n
e
x
t
s
te
p
o
f
t
h
e
al
g
o
r
ith
m
i
s
to
f
ilter
o
n
l
y
t
h
e
a
v
ailab
le
VM
s
a
n
d
m
o
ti
v
ate
f
o
r
j
o
in
t
o
p
er
atio
n
b
y
allo
ca
tio
n
o
f
in
ce
n
ti
v
es.
A
ll
t
h
e
j
o
in
t
o
p
er
atio
n
s
o
f
t
h
e
VM
s
ar
e
ca
r
r
ied
o
u
t
b
y
ad
d
in
g
t
h
e
co
m
m
u
n
icatio
n
v
ec
to
r
s
(
L
i
n
e
-
6
to
L
i
n
e
-
1
0
)
.
A
f
t
er
a
lis
t
o
f
h
o
s
t
i
s
f
ilter
ed
,
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
p
r
o
ce
ed
s
to
w
ar
d
s
in
ce
n
ti
v
e
co
m
p
u
ta
tio
n
u
s
in
g
th
e
attr
ib
u
te
o
f
m
e
m
o
r
y
d
e
m
a
n
d
s
.
T
h
e
s
y
s
te
m
c
h
ec
k
f
o
r
th
e
en
tire
h
o
s
t
if
th
er
e
is
an
y
n
o
d
e
w
i
th
i
n
t
h
e
lis
t
o
f
f
il
ter
ed
VM
w
h
ic
h
is
f
o
u
n
d
to
h
av
e
les
s
m
e
m
o
r
y
d
e
m
an
d
s
(
L
i
n
e
-
1
2
)
an
d
it
co
m
p
u
tes
t
h
e
i
n
ce
n
tiv
e
o
n
t
h
e
e
m
p
ir
ical
b
as
is
o
f
η
(
f
ea
s
ib
le
j
o
in
t
o
p
er
atio
n
w
i
th
i
th
h
o
s
t)
,
m
e
m
o
r
y
d
e
m
a
n
d
s
(
m
e
m
re
q
)
,
an
d
co
m
m
u
n
ica
tio
n
v
ec
to
r
(
C
v
)
(
L
i
n
e
-
1
2
an
d
L
in
e
-
1
3
)
.
Sim
i
lar
l
y
,
it
also
c
h
ec
k
s
f
o
r
th
e
co
n
d
itio
n
i
f
an
y
f
ilter
ed
VM
s
h
as
eq
u
i
v
al
en
t
m
e
m
o
r
y
d
e
m
a
n
d
s
(
L
in
e
-
1
4
)
as
w
e
ll
as
f
o
r
th
e
co
n
d
it
io
n
if
f
ilter
ed
VM
is
f
o
u
n
d
to
p
o
s
s
es
m
o
r
e
m
e
m
o
r
y
a
v
ailab
ili
t
y
(
li
n
e
-
1
6
)
.
T
h
e
a
lg
o
r
ith
m
h
a
s
r
esp
ec
tiv
e
ca
lc
u
l
atio
n
o
f
in
ce
n
ti
v
e
s
f
o
r
all
th
e
ab
o
v
e
t
h
r
ee
co
n
d
it
io
n
al
ca
s
es,
w
h
er
e
t
h
e
f
ir
s
t
c
o
n
d
itio
n
(
η
(
i)
<
m
e
m
r
eq
)
r
ep
r
esen
t
s
b
u
s
y
s
tate
o
f
VM
,
s
ec
o
n
d
co
n
d
itio
n
(
η
(
i)
=
m
e
m
req
)
r
ep
r
esen
t
s
id
ea
l
o
p
er
atio
n
o
f
co
n
d
itio
n
o
f
V
M,
w
h
ile
th
e
th
ir
d
co
n
d
itio
n
(
η
(
i)
>
m
e
m
req
)
r
ep
r
esen
t
s
id
le
s
tate
o
f
VM
t
h
at
a
ls
o
s
tates
its
r
ea
d
in
e
s
s
to
tak
e
u
p
n
e
w
i
n
co
m
in
g
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I
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ef
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t
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h
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p
d
ati
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h
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h
o
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t
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h
i
n
e
i
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r
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o
u
t,
t
h
e
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y
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te
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t
h
en
ch
ec
k
th
e
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n
d
itio
n
s
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ec
i
f
ied
in
(
L
i
n
e
-
2)
f
o
r
p
er
f
o
r
m
in
g
j
o
b
allo
ca
tio
n
in
clo
u
d
en
v
ir
o
n
m
e
n
t.
T
h
e
en
tire
p
h
en
o
m
e
n
o
n
o
f
j
o
b
allo
ca
tio
n
is
ca
r
r
ied
o
u
t
co
n
s
id
er
in
g
t
h
e
b
u
s
y
an
d
id
le
s
tate
o
f
VM
s
,
w
h
er
e
t
h
e
f
o
cu
s
i
s
m
ai
n
l
y
to
s
p
lit
t
h
e
VM
s
w
it
h
b
u
s
y
s
tat
u
s
to
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h
ar
e
it
s
p
r
o
ce
s
s
in
g
tas
k
w
i
th
o
th
er
VM
s
w
it
h
id
ea
l
o
r
n
ea
r
l
y
id
le
s
tate.
T
h
e
alg
o
r
ith
m
t
h
er
ef
o
r
e
is
ab
le
to
p
r
o
ce
s
s
m
o
r
e
n
u
m
b
er
o
f
in
co
m
i
n
g
j
o
b
s
an
d
is
q
u
ite
i
n
d
ep
en
d
en
t
o
f
an
y
lo
ad
o
f
th
e
tr
a
f
f
ic
o
v
er
c
l
o
u
d
en
v
ir
o
n
m
e
n
t.
He
n
ce
,
ir
r
es
p
ec
tiv
e
o
f
a
n
y
ca
r
d
in
alit
y
o
f
t
h
e
co
m
m
u
i
n
icatio
n
v
ec
to
r
,
th
e
al
g
o
r
it
h
m
al
w
a
y
s
e
x
p
lo
r
e
th
e
b
est
ca
p
ab
le
VM
a
n
d
o
p
ti
m
ize
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t
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er
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n
d
u
n
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er
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VM
b
y
it
s
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a
m
ic
i
n
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n
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.
3.
RE
SU
L
T
ANAL
YSI
S
T
h
e
p
r
o
p
o
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ed
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tu
d
y
w
as
i
m
p
l
e
m
en
ted
o
v
er
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o
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h
a
n
5
0
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m
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ci
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also
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o
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m
u
late
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h
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ee
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if
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f
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an
d
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3
w
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e
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,
8
,
a
n
d
1
2
j
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r
e
q
u
est
to
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p
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ed
alg
o
r
ith
m
.
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h
e
s
t
u
d
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al
s
o
co
n
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er
s
4
d
if
f
er
en
t
t
y
p
es
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f
VM
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n
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i
g
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r
atio
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ased
o
n
its
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r
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o
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(
s
m
all
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f
1
0
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B
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ed
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m
s
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,
lar
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,
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d
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tr
a
lar
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e
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f
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B
.
T
h
e
s
tu
d
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o
f
th
e
p
r
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p
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s
y
s
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m
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also
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s
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s
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m
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ar
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e.
g
.
ta
s
k
allo
ca
t
io
n
ti
m
e,
a
m
o
u
n
t
o
f
co
r
e
w
asted
,
a
m
o
u
n
t
o
f
s
to
r
a
g
e
w
as
ted
,
an
d
co
m
m
u
n
icatio
n
co
s
t.
Fo
r
a
n
e
f
f
ec
t
iv
e
b
e
n
ch
m
ar
k
i
n
g
,
t
h
e
s
t
u
d
y
o
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tco
m
e
w
as
also
co
m
p
ar
ed
w
it
h
t
h
e
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ec
en
t
a
n
d
s
i
m
i
lar
k
i
n
d
o
f
w
o
r
k
b
ei
n
g
ca
r
r
ied
o
u
t
b
y
W
an
g
et
al
[
26
]
,
Nu
r
m
i
et
al
[
27
]
,
Sh
u
et
al
[
28
]
,
an
d
R
en
et
al
[
29
]
.
T
h
e
d
is
cu
s
s
io
n
o
f
th
e
co
m
p
ar
ati
v
e
p
er
f
o
r
m
an
ce
a
n
al
y
s
i
s
is
as f
o
llo
w
s
:
Fig
u
r
e
2
.
C
o
m
p
ar
ativ
e
An
al
y
s
is
o
f
T
ask
A
llo
ca
tio
n
T
i
m
e
Fig
u
r
e
2
s
h
o
w
s
t
h
at
p
r
o
p
o
s
ed
FDMC
h
a
s
ac
co
m
p
lis
h
ed
th
e
m
in
i
m
al
ta
s
k
allo
ca
tio
n
ti
m
e
f
o
r
all
th
e
th
r
ee
t
y
p
e
s
o
f
j
o
b
s
.
T
h
e
p
r
im
e
r
ea
s
o
n
b
eh
i
n
d
t
h
is
is
th
e
ap
p
r
o
ac
h
o
f
W
an
g
et
a
l [
26
]
u
s
e
s
r
o
u
n
d
r
o
b
in
o
v
er
t
h
e
r
ac
k
s
er
v
er
s
an
d
n
o
t
o
n
t
h
e
V
M
w
h
ic
h
co
n
s
u
m
e
s
ti
m
e.
N
u
r
m
i
et
al
[
27
]
,
to
o
,
p
er
f
o
r
m
s
i
m
ilar
ta
s
k
b
u
t
o
v
er
th
e
h
o
s
t
m
ac
h
in
e
lead
i
n
g
to
m
o
r
e
ti
m
e
co
n
s
u
m
p
tio
n
d
u
r
i
n
g
tas
k
allo
ca
tio
n
w
it
h
in
cr
ea
s
e
o
f
j
o
b
ty
p
es.
T
h
e
w
o
r
k
ca
r
r
ied
o
u
t
b
y
Sh
u
e
t
al
[
28
]
u
s
es
m
u
lti
-
o
b
j
ec
tiv
e
o
p
ti
m
izatio
n
m
o
d
el
a
n
d
th
er
e
f
o
r
e,
i
t
co
r
r
esp
o
n
d
s
w
it
h
s
i
m
ilar
p
er
f
o
r
m
a
n
ce
o
u
tco
m
e
f
o
r
J
o
b
-
1
w
i
th
p
r
o
p
o
s
ed
FDMC.
Ho
w
ev
er
,
w
it
h
i
n
cr
ea
s
i
n
g
j
o
b
ty
p
e
s
(
2
an
d
3
)
,
it
i
n
cr
ea
s
es
its
tas
k
allo
ca
tio
n
ti
m
e
o
w
in
g
to
i
n
clu
s
io
n
o
f
ite
r
ativ
e
s
tep
s
.
Ho
w
e
v
er
,
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
R
en
et
al
[
29
]
is
b
etter
th
a
n
W
an
g
et
al
[
26
]
,
Nu
r
m
i
e
t
al
[
27
]
,
an
d
Sh
u
e
t
al
[
28
]
w
it
h
r
esp
ec
t
to
j
o
b
-
1
an
d
j
o
b
-
2
t
y
p
es.
Ho
w
ev
er
,
d
u
e
to
ex
tr
a
c
o
m
p
u
tatio
n
al
s
tep
s
f
o
r
co
s
t e
s
t
i
m
atio
n
,
it c
o
u
ld
n
’
t
f
u
r
t
h
er
o
p
ti
m
ize
f
o
r
J
o
b
-
3.
Fig
u
r
e
3
d
is
cu
s
s
es a
b
o
u
t
th
e
c
o
m
p
ar
ati
v
e
p
er
f
o
r
m
a
n
ce
an
a
l
y
s
is
f
o
r
co
r
e
w
asted
d
u
r
i
n
g
th
e
p
r
o
ce
s
s
o
f
r
eso
u
r
ce
allo
ca
tio
n
o
v
er
clo
u
d
en
v
ir
o
n
m
e
n
t.
T
h
e
o
u
tco
m
e
s
h
o
w
s
p
r
o
p
o
s
ed
FDMC
is
f
o
u
n
d
w
it
h
h
i
g
h
e
r
d
eg
r
ee
o
f
u
ti
lizatio
n
o
f
co
r
es r
esu
lt
in
g
i
n
s
u
p
er
io
r
o
u
tco
m
es
in
co
m
p
ar
is
o
n
to
o
th
er
s
.
T
h
e
p
r
o
b
lem
s
w
it
h
o
th
e
r
ex
is
t
i
n
g
s
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h
e
m
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ar
e
u
s
a
g
e
o
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co
r
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to
r
esp
o
s
it
te
m
p
o
r
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ry
b
u
f
f
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in
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e
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ite
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m
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tas
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)
.
T
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g
m
e
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to
p
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f
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d
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to
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j
o
b
s
th
at
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Fig
u
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s
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h
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w
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n
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all
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ta
k
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m
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tas
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ca
t
io
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ti
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d
s
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ai
n
tai
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to
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Fig
u
r
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3
.
C
o
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p
ar
ativ
e
An
al
y
s
is
o
f
C
o
r
e
W
asted
Fig
u
r
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4
.
C
o
m
p
ar
ativ
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An
al
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s
is
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f
Sto
r
ag
e
W
asted
Fig
u
r
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5
s
h
o
w
s
c
o
m
p
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o
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m
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t
Fig
u
r
e
5
.
C
o
m
p
ar
ativ
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An
al
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s
is
o
f
C
o
m
m
u
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icatio
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C
o
s
t
B
asicall
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,
w
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d
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i
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co
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a
s
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to
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ess
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ir
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en
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h
e
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u
tco
m
e
s
h
o
w
s
t
h
at
p
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p
o
s
ed
FDMC
is
b
etter
th
a
n
W
an
g
e
t
al
[
2
6
]
,
Nu
r
m
i
et
al
[
2
7
]
,
an
d
S
h
u
et
al
[
2
8
]
,
b
u
t
n
o
t
b
etter
th
a
n
R
e
n
et
al
[
2
9
]
.
T
h
is
is
b
ec
au
s
e
t
h
e
ap
p
r
o
ac
h
o
f
R
e
n
et
al
[
2
9
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is
b
ased
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o
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t
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m
izatio
n
p
r
in
cip
le
o
f
L
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ap
u
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h
n
iq
u
e
t
h
at
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i
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i
m
izes
t
h
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e
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e
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A
lt
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o
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g
n
i
f
ica
n
t
ad
v
a
n
tag
e
o
f
R
e
n
et
al
[
2
9
]
b
u
t
th
is
ad
v
an
ta
g
e
c
o
m
e
s
at
t
h
e
co
s
t
o
f
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er
m
e
m
o
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y
u
tili
za
t
io
n
.
Hen
ce
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n
t
h
is
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eg
ar
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e
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o
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o
s
ed
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ca
n
b
e
s
tated
a
s
t
h
e
b
etter
alter
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ati
v
e
o
f
w
o
r
k
ca
r
r
ied
o
u
t
b
y
R
e
n
et
al
[
2
9
]
.
J
en
n
i
n
g
s
a
n
d
Stad
ler
[
3
0
]
Su
r
v
e
y
ed
s
t
u
d
y
in
to
r
eso
u
r
ce
-
m
an
a
g
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m
e
n
t
(
R
M)
f
o
r
clo
u
d
a
t
m
o
s
p
h
er
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s
.
As
w
o
r
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g
o
n
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is
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tu
d
y
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Z.
M
a
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:
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[2
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Bo
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T
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In
c
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2
0
1
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[3
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F
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A
.
Esc
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2
0
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[4
]
L
.
W
a
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Ra
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Ch
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Be
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A
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CRC
P
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2
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[5
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K.
Ch
a
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Esse
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o
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CRC
P
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2
0
1
4
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[6
]
T
.
Wen
h
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Z
.
Yo
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:
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2
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[7
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N.
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[8
]
S
.
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Kh
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0
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Ra
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In
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me
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,
2
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3
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A
.
T
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ra
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Y.R
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A
.
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laa
sh
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.
P
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a
v
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Re
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o
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ll
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S
c
h
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m
e
in
Clo
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p
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ti
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g
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El
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v
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S
c
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c
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Dire
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t
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Pro
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Co
mp
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ter
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,
v
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4
7
,
p
p
.
3
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–
3
6
,
2
0
1
5
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[1
4
]
L
.
W
e
i,
C.
H.
F
o
h
,
B.
He
,
J.
Ca
i
,
“
T
o
w
a
rd
s
E
ff
icie
n
t
R
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so
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rc
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A
ll
o
c
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ti
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f
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tero
g
e
n
e
o
u
s
W
o
rk
lo
a
d
s
in
Ia
a
S
Clo
u
d
s”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
C
lo
u
d
Co
m
p
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t
in
g
,
2
0
1
5
.
[1
5
]
CT
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S
.
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[2
1
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R.
Yu
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.
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2
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A.
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[2
3
]
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2
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.
[2
4
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R.
Yu
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Hu
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Ka
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Din
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.
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.
[2
5
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.
Ng
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2
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1
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.
[2
6
]
W
.
Wan
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.
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7
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Nu
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rz
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,
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a
n
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Gr
id
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2
0
0
9
.
[2
8
]
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.
S
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u
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.
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.
[2
9
]
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.
Re
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.
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.
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0
]
B.
Je
n
n
in
g
s,
a
n
d
R
.
S
tad
ler
,
“
Re
so
u
rc
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m
a
n
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g
e
m
e
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t
in
c
lo
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d
s:
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u
rv
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se
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2
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p
.
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6
7
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9
,
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5
.
[3
1
]
A
.
J.
Yo
u
n
g
e
,
V
.
L
a
sz
e
w
sk
i,
G
.
W
a
n
g
,
L
.
L
A
lar
c
o
n
&
W
.
Ca
rit
h
e
rs,
“
Eff
icie
n
t
re
so
u
rc
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m
a
n
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g
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lo
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ti
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e
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m
e
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ts”
,
In
Gr
e
e
n
Co
mp
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ti
n
g
C
o
n
fer
e
n
c
e
,
I
n
ter
n
a
ti
o
n
a
l
,
p
p
.
3
5
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,
2
0
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0
.
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RAP
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RS
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e
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tro
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g
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m
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