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[
1
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8708
I
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Vo
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9
,
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6
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Dec
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1
9
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9
6
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6
9
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p
r
e
-
co
p
y
s
ta
g
e
w
h
er
e
th
e
p
ag
es
ar
e
r
ep
ea
ted
l
y
co
p
ied
u
n
til
a
m
in
i
m
u
m
n
u
m
b
er
o
f
d
ir
ty
p
ag
e
s
is
r
e
m
a
in
i
n
g
.
(
d
)
T
h
e
s
to
p
-
an
d
-
co
p
y
s
tag
e
w
h
er
e
th
e
VM
is
s
to
p
p
ed
at
th
e
s
o
u
r
ce
an
d
t
h
e
last
d
i
r
t
y
p
ag
es
ar
e
tr
an
s
f
er
r
ed
to
th
e
d
esti
n
atio
n
w
h
ic
h
r
esu
lt
s
in
d
o
w
n
ti
m
e
.
(
e)
T
h
e
co
m
m
i
t
m
e
n
t
s
ta
g
e
–
th
e
VM
n
o
lo
n
g
er
ex
is
t
at
th
e
s
o
u
r
ce
a
n
d
th
e
r
eso
u
r
ce
s
h
eld
b
y
t
h
e
VM
ar
e
r
elea
s
ed
.
(
f
)
T
h
e
ac
tiv
atio
n
s
ta
g
e
-
t
h
e
VM
is
r
esu
m
ed
at
th
e
d
esti
n
atio
n
[
1
0
]
.
T
h
e
tw
o
i
m
p
o
r
ta
n
t
f
ac
to
r
s
i
n
v
o
lv
ed
in
v
ar
io
u
s
li
v
e
m
ig
r
atio
n
tech
n
iq
u
e
s
ar
e
th
e
to
tal
m
ig
r
atio
n
ti
m
e
an
d
th
e
d
o
w
n
ti
m
e.
T
o
tal
m
i
g
r
atio
n
ti
m
e
is
th
e
to
tal
ti
m
e
r
eq
u
ir
ed
to
m
i
g
r
ate
th
e
V
M
f
r
o
m
s
o
u
r
ce
to
d
esti
n
atio
n
m
ac
h
i
n
e.
T
h
e
d
o
w
n
ti
m
e
i
s
th
e
a
m
o
u
n
t
o
f
ti
m
e
w
h
e
n
th
e
VM
is
n
o
t
r
u
n
n
i
n
g
[
1
1
]
.
T
h
e
to
tal
m
i
g
r
atio
n
ti
m
e
an
d
t
h
e
d
o
w
n
ti
m
e
ar
e
th
e
k
e
y
p
er
f
o
r
m
a
n
ce
f
ac
to
r
s
to
b
e
co
n
s
id
er
ed
d
u
r
i
n
g
VM
m
i
g
r
atio
n
.
T
h
e
p
u
r
p
o
s
e
o
f
l
iv
e
v
ir
t
u
al
m
a
ch
in
e
m
i
g
r
ati
o
n
is
to
en
s
u
r
e
a
n
u
n
in
ter
r
u
p
ted
s
er
v
ice
p
r
o
v
is
i
o
n
in
g
to
th
e
h
o
s
ted
ap
p
licatio
n
s
d
u
r
in
g
th
e
m
i
g
r
at
io
n
p
r
o
ce
s
s
[
1
2
]
.
T
h
e
t
w
o
ap
p
r
o
ac
h
es
in
li
v
e
VM
m
i
g
r
atio
n
ar
e
th
e
p
u
s
h
p
h
a
s
e
an
d
th
e
s
to
p
an
d
co
p
y
p
h
ase.
I
n
th
e
p
u
s
h
p
h
ase,
t
h
e
m
e
m
o
r
y
p
ag
e
s
ar
e
tr
an
s
f
er
r
ed
f
r
o
m
s
o
u
r
ce
s
er
v
er
to
th
e
n
e
w
lo
ca
tio
n
.
D
u
r
in
g
t
h
e
tr
an
s
f
er
,
as
t
h
e
VM
is
r
u
n
n
i
n
g
,
s
o
m
e
o
f
t
h
e
m
e
m
o
r
y
p
a
g
e
s
m
a
y
b
e
m
o
d
i
f
ied
w
h
ic
h
is
ca
lled
d
ir
t
y
i
n
g
o
f
p
a
g
es.
T
h
e
d
ir
tied
p
ag
es
h
av
e
to
b
e
r
ec
tif
ied
an
d
tr
an
s
f
er
r
ed
ag
ain
.
T
h
e
p
r
o
ce
s
s
is
r
ep
ea
ted
iter
ativ
el
y
,
an
d
it ta
k
es sev
er
al
r
o
u
n
d
s
f
o
r
th
e
m
ig
r
atio
n
p
r
o
ce
s
s
to
co
m
p
lete
.
At
s
o
m
e
p
o
in
t,
t
h
e
ti
m
e
tak
en
b
y
t
h
e
r
o
u
n
d
s
a
n
d
th
e
n
u
m
b
er
o
f
p
ag
es
to
b
e
tr
an
s
f
er
r
ed
w
ill
b
e
v
er
y
lo
w
.
At
t
h
is
s
tag
e,
t
h
e
s
to
p
an
d
co
p
y
p
h
a
s
e
ta
k
es
p
lace
.
T
h
e
e
n
tire
p
r
o
ce
s
s
o
f
liv
e
VM
m
ig
r
atio
n
af
f
ec
t
s
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
ap
p
licatio
n
s
r
u
n
n
i
n
g
i
n
t
h
o
s
e
VM
s
[
7
,
1
3
,
14]
.
T
h
e
w
h
o
le
w
o
r
k
p
r
esen
ted
h
er
e
r
es
u
lts
i
n
t
h
e
e
s
ti
m
atio
n
o
f
p
er
f
o
r
m
a
n
ce
a
n
d
co
s
t
b
ased
o
n
th
e
f
o
llo
w
i
n
g
f
o
u
r
a
s
p
ec
ts
:
(
1
)
th
e
li
m
it
s
et
f
o
r
m
a
x
i
m
u
m
ite
r
atio
n
s
;
(
2
)
t
h
e
v
o
l
u
m
e
o
f
p
ag
es
tr
an
s
f
er
r
ed
w
ith
r
esp
ec
t
to
th
e
m
e
m
o
r
y
s
ize;
(
3
)
th
e
d
ir
ty
r
ate
co
m
p
ar
is
o
n
o
f
s
u
cc
e
s
s
i
v
e
iter
atio
n
s
an
d
th
e
b
an
d
w
id
th
u
s
a
g
e;
(
4
)
th
e
th
r
esh
o
ld
s
et
f
o
r
d
ir
ty
m
e
m
o
r
y
.
T
h
e
p
r
im
ar
y
co
n
tr
ib
u
tio
n
s
o
f
t
h
is
p
ap
er
ar
e:
a.
An
i
m
p
r
o
v
ed
m
o
d
el
f
o
r
co
m
p
u
ti
n
g
th
e
n
u
m
b
er
o
f
iter
atio
n
s
f
o
r
VM
m
i
g
r
atio
n
b
y
co
n
s
id
er
in
g
all
th
e
ab
o
v
e
-
m
e
n
tio
n
ed
f
ac
to
r
s
.
b.
T
h
e
m
o
d
el
in
co
r
p
o
r
ates
a
v
e
r
y
v
al
u
ab
le
p
ar
a
m
eter
θ,
a
f
a
cto
r
,
w
h
ic
h
en
ab
le
t
h
e
d
atac
e
n
ter
s
to
tak
e
a
d
ec
is
io
n
w
h
et
h
er
to
co
n
ti
n
u
e
w
ith
h
i
g
h
l
y
in
e
f
f
icie
n
t
a
n
d
u
n
d
er
-
p
er
f
o
r
m
i
n
g
m
ig
r
atio
n
o
p
er
atio
n
w
h
ic
h
m
a
y
b
e
o
n
co
n
ti
n
u
atio
n
.
Hal
tin
g
s
u
c
h
f
a
u
lt
y
m
i
g
r
atio
n
s
b
r
in
g
r
e
w
ar
d
s
i
n
to
t
h
e
s
y
s
te
m
th
r
o
u
g
h
b
etter
r
eso
u
r
ce
u
til
izatio
n
i
m
p
r
o
v
i
n
g
th
e
e
f
f
icien
c
y
o
f
s
u
cc
es
s
f
u
l
m
ig
r
atio
n
a
n
d
ac
h
iev
i
n
g
b
etter
p
er
f
o
r
m
an
ce
f
o
r
allo
w
ed
o
p
er
atio
n
s
.
Af
ter
t
h
e
i
m
p
le
m
en
ta
tio
n
o
f
θ
th
e
p
er
f
o
r
m
an
ce
v
al
u
e
o
f
m
i
g
r
atio
n
j
o
b
s
h
a
s
i
m
p
r
o
v
ed
u
p
to
1
5
%.
c.
T
h
e
s
im
u
lat
io
n
s
ca
r
r
ied
o
u
t
ac
co
r
d
in
g
to
th
e
m
eth
o
d
o
lo
g
y
d
is
cu
s
s
ed
h
er
e
esti
m
a
ted
th
e
p
er
f
o
r
m
a
n
ce
an
d
its
v
ar
iatio
n
s
s
u
cc
e
s
s
f
u
ll
y
in
d
icatin
g
t
h
e
d
ec
li
n
e
i
n
t
h
e
p
er
f
o
r
m
a
n
ce
w
h
en
e
v
er
o
cc
u
r
r
ed
.
T
h
is
ap
p
r
o
ac
h
ca
n
en
ab
le
t
h
e
d
ata
ce
n
ter
s
to
tak
e
n
ec
ess
ar
y
m
ea
s
u
r
es
to
r
e
o
r
g
an
ize
t
h
e
r
eso
u
r
ce
s
to
co
n
t
ain
t
h
e
d
ec
lin
ed
p
er
f
o
r
m
a
n
ce
s
u
cc
es
s
f
u
l
l
y
.
T
h
e
r
est
o
f
th
e
p
ap
e
r
is
o
r
g
an
ized
as
f
o
llo
w
s
:
Sectio
n
2
p
r
o
v
id
es
th
e
r
elate
d
r
esear
ch
m
et
h
o
d
.
Sectio
n
3
ex
p
lai
n
s
t
h
e
p
er
f
o
r
m
an
ce
ev
al
u
atio
n
an
d
r
esu
lts
.
S
ec
tio
n
4
co
n
clu
d
es t
h
e
p
ap
er
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
A
g
u
est
VM
i
s
p
lace
d
i
n
to
t
h
e
P
M
th
a
t
h
as
t
h
e
lea
s
t
co
m
p
letio
n
ti
m
e.
I
f
s
u
ch
a
P
M
is
lac
k
i
n
g
th
e
r
eq
u
ir
ed
r
eso
u
r
ce
s
,
t
h
e
n
ei
th
er
d
ir
ec
t
p
lace
m
e
n
t
o
r
m
i
g
r
atio
n
-
b
ased
p
lace
m
en
t
tech
n
iq
u
e
ca
n
b
e
ad
o
p
ted
.
I
n
[
1
5
]
,
th
e
au
th
o
r
s
h
a
v
e
ex
a
m
i
n
ed
th
at
i
n
o
n
-
li
n
e
VM
P
la
ce
m
en
t,
a
VM
w
h
o
s
e
m
ig
r
ati
o
n
o
v
er
h
ea
d
ad
d
ed
w
it
h
t
h
e
co
m
p
letio
n
ti
m
e
is
m
in
i
m
u
m
is
c
h
o
s
en
f
o
r
m
ig
r
atio
n
.
T
h
e
n
u
m
b
er
o
f
VM
r
eq
u
est
w
ill
n
o
t
b
e
k
n
o
wn
in
ad
v
a
n
ce
.
Hen
ce
,
w
h
e
n
th
e
P
Ms
ar
e
c
o
m
p
letel
y
lo
ad
ed
,
f
u
r
th
er
VM
r
eq
u
est
s
s
h
o
u
ld
n
o
t
b
e
ac
ce
p
ted
.
T
h
e
m
i
g
r
atio
n
co
s
t
f
r
o
m
th
e
o
v
er
u
s
ed
P
M
to
th
e
ac
tiv
e
P
M
m
i
g
h
t
b
e
co
n
s
tr
ain
e
d
b
y
f
ac
to
r
s
li
k
e
b
an
d
w
id
t
h
[
1
6
]
.
T
h
e
VM
to
b
e
m
ig
r
ated
m
u
s
t
co
m
m
u
n
icate
w
ith
t
h
e
d
ev
i
ce
d
r
iv
er
s
an
d
n
et
w
o
r
k
ca
r
d
s
w
h
ich
ar
e
av
ailab
le
i
n
Do
m
ai
n
0
.
T
h
e
d
ev
ice
d
r
iv
er
s
ar
e
h
o
s
ted
in
d
o
m
ain
0
.
I
t c
o
n
tr
o
l
s
t
h
e
p
h
y
s
ica
l
n
et
w
o
r
k
ca
r
d
s
[
1
7
]
.
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
m
ig
r
atio
n
is
d
ep
en
d
ed
o
n
VM
Me
m
o
r
y
s
ize,
m
e
m
o
r
y
d
ir
t
y
i
n
g
r
ate,
n
e
t
w
o
r
k
tr
a
n
s
m
i
s
s
io
n
r
ate
an
d
th
e
alg
o
r
it
h
m
u
s
ed
f
o
r
m
ig
r
atio
n
.
T
h
e
w
o
r
k
lo
ad
h
as
to
b
e
d
is
tr
ib
u
ted
am
o
n
g
all
t
h
e
h
o
s
t
m
ac
h
i
n
es
to
en
h
a
n
ce
e
f
f
ic
ien
c
y
[
1
8
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
erfo
r
ma
n
ce
d
eg
r
a
d
a
tio
n
a
s
s
ess
men
t a
n
d
V
M p
la
ce
men
t p
o
licy
in
clo
u
d
(
S
u
s
mita
J
.
A
.
N
a
ir
)
4963
T
h
e
m
i
g
r
atio
n
p
r
o
ce
s
s
m
a
n
a
g
es
t
h
e
s
tate
o
f
r
eso
u
r
ce
s
,
i.
e.
,
p
r
o
ce
s
s
o
r
,
m
e
m
o
r
y
,
s
to
r
ag
e
an
d
I
/O,
d
u
r
in
g
t
h
e
tr
an
s
f
er
o
f
V
M.
T
h
is
in
c
lu
d
es
m
e
m
o
r
y
allo
c
ated
an
d
u
s
ed
b
y
VM
,
m
e
m
o
r
y
r
eq
u
e
s
ted
b
y
ap
p
licatio
n
,
v
ir
tu
al
d
is
k
s
izes
an
d
b
lo
ck
s
u
s
ed
b
y
VM
[
1
9
]
.
I
n
[
1
3
,
2
0
]
th
e
n
u
m
b
er
o
f
iter
atio
n
s
is
ca
lc
u
lated
as
th
e
m
i
n
i
m
u
m
v
al
u
e
o
f
t
h
r
es
h
o
ld
p
o
in
t
an
d
t
h
e
m
ax
i
m
u
m
n
u
m
b
er
o
f
iter
atio
n
s
s
et
f
o
r
m
i
g
r
atio
n
.
T
h
e
th
r
esh
o
ld
p
o
in
t
is
co
m
p
u
ted
as
a
f
u
n
ctio
n
o
f
t
h
e
r
atio
b
et
w
ee
n
th
r
es
h
o
ld
an
d
m
e
m
o
r
y
allo
ca
ted
to
th
e
m
ig
r
ati
n
g
VM
.
I
n
[
1
7
]
,
t
h
e
au
t
h
o
r
s
h
a
v
e
id
en
ti
f
ied
d
ir
t
y
r
ate
an
d
th
e
f
r
eq
u
e
n
c
y
o
f
its
o
cc
u
r
r
en
ce
as
th
e
i
m
p
o
r
ta
n
t f
ac
to
r
af
f
ec
ti
n
g
t
h
e
iter
atio
n
ti
m
e
a
n
d
d
o
w
n
t
i
m
e.
2
.
1
.
T
he
m
ig
ra
t
io
n pro
ce
s
s
A
s
er
v
er
(
h
o
s
t)
w
it
h
r
eso
u
r
ce
u
tili
za
tio
n
o
f
8
0
%,
is
co
n
s
id
er
ed
to
b
e
as
an
o
v
er
-
u
tili
ze
d
s
er
v
er
.
T
h
e
w
o
r
k
lo
ad
o
f
s
u
c
h
a
n
o
v
er
-
u
ti
lized
h
o
s
t
h
a
s
to
b
e
d
is
tr
ib
u
ted
to
th
e
h
o
s
t
s
w
h
ic
h
ar
e
u
n
d
er
-
u
ti
lized
.
A
s
er
v
er
w
it
h
a
u
til
izatio
n
o
f
2
0
%
o
r
b
el
o
w
is
as
s
u
m
ed
to
b
e
an
u
n
d
er
u
tili
ze
d
s
er
v
er
.
T
h
e
m
ig
r
at
io
n
p
r
o
ce
s
s
ev
en
l
y
r
ed
is
tr
ib
u
tes
th
e
w
o
r
k
lo
ad
a
m
o
n
g
a
ll
t
h
e
h
o
s
ts
w
it
h
ce
r
tai
n
o
v
er
h
ea
d
.
T
h
e
p
r
o
ce
s
s
is
p
icto
r
iall
y
d
ep
icted
in
Fig
u
r
e
1
an
d
Fig
u
r
e
2
.
T
h
e
m
ig
r
atio
n
co
s
t is d
ete
r
m
in
ed
i
n
ter
m
s
o
f
p
er
f
o
r
m
a
n
c
e
an
d
en
er
g
y
.
Fig
u
r
e
1
.
B
ef
o
r
e
Mig
r
atio
n
H
o
s
t A
h
as a
s
et
o
f
o
v
er
u
t
ilized
s
er
v
er
w
it
h
a
u
til
izatio
n
o
f
u
p
to
8
0
%
an
d
th
e
s
er
v
er
at
Ho
s
t B
is
u
n
d
er
u
tili
ze
d
w
ith
2
0
% r
eso
u
r
ce
u
tili
za
t
io
n
Fig
u
r
e
2
.
Af
ter
Mig
r
atio
n
th
e
s
er
v
er
s
at
Ho
s
t
A
a
n
d
Ho
s
t B
h
av
e
a
n
ev
e
n
d
is
tr
ib
u
tio
n
o
f
wo
r
k
lo
ad
an
d
r
eso
u
r
ce
u
til
izatio
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
6
,
Dec
em
b
er
2
0
1
9
:
4
9
6
1
-
4
9
6
9
4964
2
.
2
.
P
er
f
o
r
m
a
nce
a
s
s
e
s
s
m
e
nt
a
nd
VM
c
o
up
lin
g
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
a
s
y
s
te
m
i
s
d
ef
i
n
ed
as
th
e
a
m
o
u
n
t
o
f
w
o
r
k
d
o
n
e/
u
n
it
ti
m
e.
T
h
e
co
s
t
i
s
th
e
ex
p
en
s
e
in
c
u
r
r
ed
d
u
e
to
th
e
u
n
u
tili
ze
d
ca
p
ab
ilit
y
o
f
th
e
r
eso
u
r
ce
s
.
T
h
e
co
s
t
o
f
m
i
g
r
atio
n
is
th
e
a
m
o
u
n
t
o
f
p
er
f
o
r
m
a
n
ce
lo
s
t
d
u
r
i
n
g
m
i
g
r
atio
n
.
P
er
f
o
r
m
an
ce
h
a
s
to
b
e
ca
lcu
lated
(
a)
B
ef
o
r
e
m
i
g
r
atio
n
(
b
)
D
u
r
in
g
m
i
g
r
atio
n
(
c)
Af
ter
m
i
g
r
atio
n
.
C
o
m
p
ar
is
o
n
b
et
w
ee
n
(
a)
an
d
(
b
)
g
iv
es
t
h
e
co
s
t.
C
o
m
p
ar
is
o
n
b
et
w
ee
n
(
a)
an
d
(
c)
g
iv
e
s
t
h
e
e
n
h
an
ce
m
e
n
t.
T
h
e
d
if
f
er
en
ce
b
et
w
ee
n
(
b
)
a
n
d
(
c)
g
i
v
es
th
e
co
s
t
o
f
i
m
p
le
m
e
n
t
atio
n
o
f
m
ig
r
atio
n
.
I
n
th
is
p
ap
er
,
w
e
h
a
v
e
m
ad
e
t
h
e
co
m
p
ar
is
o
n
b
et
w
ee
n
(
a)
an
d
(
b
)
to
d
eter
m
i
n
e
th
e
co
s
t
b
ef
o
r
e
m
ig
r
at
io
n
an
d
th
e
co
s
t
d
u
r
i
n
g
m
ig
r
atio
n
.
T
h
e
v
ir
tu
a
l
m
ac
h
i
n
es
ar
e
m
i
g
r
at
ed
f
r
o
m
o
n
e
p
h
y
s
ical
m
ac
h
i
n
e
to
an
o
th
er
i
n
th
e
s
a
m
e
d
o
m
ai
n
o
r
i
n
a
d
i
f
f
er
en
t
d
o
m
ai
n
.
I
n
a
n
y
ca
s
e,
t
h
e
p
r
o
ce
s
s
o
r
w
ill
b
e
as
s
o
ciate
d
w
it
h
t
h
e
m
e
m
o
r
y
,
I
/O
an
d
Sto
r
ag
e.
C
o
n
s
id
er
th
e
VM
s
,
s
a
y
,
VM
0
,
VM
1
,
…VM
o
,
t
h
at
ar
e
h
o
s
te
d
at
d
atac
en
ter
,
D
C
1
,
w
it
h
m
r
eso
u
r
ce
s
.
VM
o
r
ep
r
esen
ts
th
e
o
p
ti
m
al
n
u
m
b
er
o
f
VM
s
.
W
h
e
n
t
h
e
n
u
m
b
er
o
f
V
Ms
i
s
g
r
ea
ter
t
h
an
t
h
e
o
p
ti
m
a
l
n
u
m
b
er
(
VM
o
)
,
ad
d
itio
n
al
r
r
eso
u
r
ce
s
ar
e
r
eq
u
ir
ed
t
o
s
er
v
e
th
e
e
x
tr
a
VM
s
th
at
e
x
ce
ed
s
th
e
V
Mo
.
T
h
e
p
r
o
ce
s
s
o
r
co
u
p
lin
g
w
i
th
r
eso
u
r
ce
s
ca
n
b
e
ac
h
ie
v
ed
w
it
h
m
i
g
r
atio
n
a
n
d
ad
d
itio
n
al
r
r
eso
u
r
ce
s
ca
n
b
e
ac
q
u
ir
ed
f
r
o
m
o
th
er
d
ata
c
en
ter
s
to
s
u
p
p
o
r
t
all
th
e
VM
s
.
Fig
u
r
e
3
p
icto
r
iall
y
r
ep
r
esen
ts
t
h
e
p
r
o
ce
s
s
o
r
co
u
p
lin
g
w
i
t
h
r
eso
u
r
ce
s
.
Fig
u
r
e
3
.
P
r
o
ce
s
s
o
r
c
o
u
p
lin
g
w
it
h
r
eso
u
r
ce
s
w
il
l
h
elp
to
r
ed
is
tr
ib
u
te
t
h
e
VM
s
,
th
a
t n
ee
d
s
ad
d
itio
n
al
r
eso
u
r
ce
s
,
to
o
th
er
s
er
v
er
s
T
ab
le
1
s
h
o
w
s
t
h
e
p
r
o
ce
s
s
i
n
g
u
n
it
s
f
o
r
th
e
m
e
m
o
r
y
,
I
/O
an
d
s
to
r
ag
e
a
s
s
u
m
in
g
t
h
at
t
h
e
n
u
m
b
er
o
f
p
r
o
ce
s
s
in
g
u
n
its
i
s
s
a
m
e
f
o
r
all
th
e
th
r
ee
d
o
m
ai
n
s
.
A
ll
p
r
o
ce
s
s
i
n
g
u
n
its
ar
e
ass
u
m
ed
to
b
e
h
o
m
o
g
e
n
eo
u
s
an
d
h
o
m
o
to
p
ic
w
it
h
th
at
o
f
o
th
er
p
r
o
ce
s
s
o
r
s
.
T
h
e
y
ca
n
b
e
m
u
t
u
all
y
r
ep
lace
ab
le.
E
ac
h
VM
h
as
th
e
s
tr
u
ct
u
r
e
o
f
PM
11
to
P
M
1n,
PIO
21
to
P
I
O
2n
an
d
P
S
31
to
P
S
3n
s
u
p
p
o
r
tin
g
eq
u
ip
o
ten
tial
ca
p
ab
ilit
y
in
all
p
ar
am
eter
s
i
n
cl
u
d
in
g
ca
p
ac
it
y
.
T
h
e
VM
to
b
e
m
i
g
r
ated
ca
n
b
e
co
u
p
led
w
it
h
a
n
y
o
f
t
h
ese
m
ai
n
p
r
o
ce
s
s
i
n
g
d
o
m
ain
s
,
I
/
O
p
r
o
ce
s
s
in
g
d
o
m
ai
n
s
an
d
t
h
e
C
o
m
m
u
n
icat
io
n
d
o
m
ai
n
s
.
Fi
g
u
r
e
4
s
h
o
w
s
t
h
e
g
e
n
er
al
i
m
a
g
e
o
f
s
u
c
h
a
co
u
p
lin
g
o
f
p
r
o
ce
s
s
in
g
u
n
i
ts
r
ep
r
esen
ted
as P
R
.
T
ab
le
1
.
P
r
o
ce
s
s
in
g
u
n
it
s
r
ep
r
esen
tat
io
n
f
o
r
d
if
f
er
en
t d
o
m
ai
n
s
D
o
mai
n
P
r
o
c
e
ssi
n
g
U
n
i
t
M
a
i
n
P
r
o
c
e
ssi
n
g
d
o
mai
n
PM
11
PM
12
…
PM
1n
I
/
O
P
r
o
c
e
ssi
n
g
d
o
mai
n
P
I
O
21
P
I
O
22
…
P
I
O
2n
S
t
o
r
a
g
e
d
o
mai
n
PS
31
PS
32
…
PS
3n
Fig
u
r
e
4
.
T
h
e
g
en
er
al
i
m
a
g
e
o
f
c
o
u
p
li
n
g
o
f
p
r
o
ce
s
s
i
n
g
u
n
it
s
to
r
eso
u
r
ce
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
erfo
r
ma
n
ce
d
eg
r
a
d
a
tio
n
a
s
s
ess
men
t a
n
d
V
M p
la
ce
men
t p
o
licy
in
clo
u
d
(
S
u
s
mita
J
.
A
.
N
a
ir
)
4965
2
.
3
.
T
he
co
s
t
m
o
del
W
e
ass
u
m
e
th
at
M
n
u
m
b
er
o
f
VM
s
ar
e
to
b
e
m
ig
r
ated
f
r
o
m
P
M1
(
P
h
y
s
ical
Ma
c
h
i
n
e
1
)
to
P
M2
(
P
h
y
s
ical
Ma
ch
in
e
2
)
.
T
h
e
p
ag
es
g
et
m
o
d
i
f
ied
d
u
r
i
n
g
m
i
g
r
atio
n
a
n
d
h
en
ce
th
e
r
ec
o
p
y
in
g
o
f
m
o
d
if
ied
p
ag
es
an
d
th
e
m
ig
r
at
io
n
p
r
o
ce
s
s
tr
an
s
p
ir
es in
s
e
v
er
al
i
ter
atio
n
s
[
1
7
,
2
1
]
.
B
ased
o
n
[
1
3
]
,
in
iter
atio
n
0
,
th
e
w
h
o
le
m
e
m
o
r
y
o
f
t
h
e
VM
g
et
s
co
p
ied
to
th
e
d
es
tin
a
tio
n
m
ac
h
i
n
e.
L
et
A
mt
0,
j
r
ep
r
esen
t
s
t
h
e
a
m
o
u
n
t
o
f
m
e
m
o
r
y
co
p
ied
d
u
r
i
n
g
0
th
iter
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n
o
f
m
i
g
r
atio
n
p
r
o
ce
s
s
o
f
j
th
VM
,
VM
j
,
PM
b
w
j
r
ep
r
esen
t
s
t
h
e
p
h
y
s
ical
m
e
m
o
r
y
b
a
n
d
w
id
th
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tted
f
o
r
VM
j
a
n
d
V
memsize
s
h
o
w
s
t
h
e
m
e
m
o
r
y
s
ize
o
f
VM
j
.
T
h
u
s
,
if
th
e
0
th
iter
atio
n
w
h
ich
o
cc
u
r
s
b
et
w
ee
n
t
h
e
ti
m
e
t
0
an
d
ti
m
e
t
1
,
th
e
n
A
mt
0,
j
c
an
b
e
r
ep
r
esen
ted
as
s
h
o
w
n
in
(
1
)
.
0
,
=
∫
1
0
(
)
(
1
)
Du
r
in
g
th
e
co
p
y
o
p
er
atio
n
,
s
o
m
e
o
f
t
h
e
p
ag
e
s
o
f
t
h
e
V
M
c
h
an
g
es.
T
h
is
i
s
ca
lled
d
ir
t
y
i
n
g
o
f
p
ag
e
s
.
T
h
e
d
ir
tied
p
ag
es
h
av
e
to
b
e
v
er
if
ied
an
d
co
p
ied
in
s
u
b
s
eq
u
e
n
t
iter
atio
n
s
.
I
n
(
2
)
,
VM
dirj
r
ep
r
esen
ts
th
e
p
o
r
tio
n
o
f
m
e
m
o
r
y
w
h
ich
i
s
d
ir
tied
.
,
=
∫
.
−
1
,
+
1
(
)
(
2
)
On
ce
th
e
co
p
y
i
n
g
p
r
o
ce
s
s
is
o
v
er
,
th
e
VM
ca
n
b
e
r
estar
ted
at
P
M
2
.
Du
r
in
g
th
e
w
h
o
le
p
r
o
ce
s
s
th
e
p
r
o
ce
s
s
o
r
ex
p
er
ien
ce
s
a
d
o
w
n
t
i
m
e,
T
do
w
n,
j
,
w
h
ic
h
ca
n
b
e
ca
lcu
lated
as
s
h
o
w
n
i
n
(
3
)
.
I
n
th
is
eq
u
atio
n
,
P
dir
i
s
th
e
p
ag
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d
ir
t
y
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ate,
P
si
ze
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th
e
s
iz
e
o
f
t
h
e
p
a
g
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s
ize,
dur
precopy
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s
t
h
e
d
u
r
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n
o
f
t
h
e
p
r
e
-
co
p
y
an
d
V
C
P
U
context
i
s
th
e
t
i
m
e
f
o
r
co
n
te
x
t
s
w
itc
h
f
o
r
th
e
v
ir
t
u
al
C
P
U
a
n
d
VM
resum
ej
is
t
h
e
ti
m
e
ta
k
en
to
r
es
u
m
e
th
e
VM
j
a
t
t
h
e
n
e
w
p
h
y
s
ical
m
ac
h
i
n
e.
=
+
+
(
3
)
T
h
e
to
tal
d
o
w
n
ti
m
e
f
o
r
M
ca
n
b
e
ca
lcu
lated
as
=
(
4
)
A
p
ar
a
m
eter
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=
(
5
)
is
an
i
m
p
o
r
tan
t
r
atio
,
t
h
at
d
ec
i
d
es
th
e
d
u
r
atio
n
o
f
t
h
e
iter
atio
n
.
I
n
t
h
e
f
ir
s
t
iter
atio
n
,
th
e
e
n
t
ir
e
v
m
,
V
mem
alloc,
j
is
co
p
ied
.
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y
s
u
b
s
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itu
tin
g
dur
i,
j
=
t
i+
1
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t
i
,
f
o
r
i=0
,
…,
N,
(
1
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an
d
(
2
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ca
n
b
e
r
e
p
r
esen
ted
as
s
h
o
w
n
i
n
(
6
)
an
d
(
7
)
r
esp
ec
tiv
el
y
.
0
,
=
,
=
.
0
,
(
6
)
A
mt
i,
j
=P
size
.P
dir
.
A
mt
i
-
1,
j
=P
M
bw
dur
i,
j
.
(
7
)
T
h
e
iter
atio
n
m
a
y
s
to
p
w
h
e
n
it
r
ea
ch
es th
e
t
h
r
es
h
o
ld
,
h
,
o
f
d
ir
t
y
m
e
m
o
r
y
i.e
.
,
,
=
,
≤
h
.
(
8
)
An
o
th
er
co
n
d
itio
n
to
s
to
p
th
e
iter
atio
n
s
is
Ma
x
itr
,
w
h
ic
h
is
t
h
e
m
a
x
i
m
u
m
n
u
m
b
er
o
f
iter
at
io
n
s
s
et
f
o
r
p
r
e
-
co
p
y
m
i
g
r
atio
n
.
T
h
e
iter
at
io
n
s
to
p
s
w
h
e
n
t
h
e
v
o
l
u
m
e
o
f
p
ag
es
tr
a
n
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is
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r
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ter
t
h
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th
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p
r
o
d
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ct
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f
m
ax
i
m
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m
m
u
ltip
le
o
f
m
e
m
o
r
y
s
ize
t
h
at
m
i
g
r
atio
n
s
h
o
u
ld
b
e
ter
m
i
n
ated
i.e
.
,
Ma
x
memsize,
a
n
d
t
h
e
m
e
m
o
r
y
s
ize
o
f
VM
,
VM
memsize
.
T
h
e
iter
atio
n
ca
n
s
to
p
in
ca
s
e
t
h
e
d
ir
t
y
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at
e
o
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cu
r
r
en
t
iter
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,
cu
r
d
ir
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x
ce
ed
s
th
e
p
r
ev
io
u
s
iter
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p
r
ed
ir
a
n
d
th
e
to
ta
l
b
an
d
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h
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t
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e
x
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ed
s
th
e
m
ax
i
m
u
m
b
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d
w
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t
h
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x
b
w
.
T
h
is
ca
n
b
e
r
ep
r
esen
ted
as θ
=
>
&
>
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
6
,
Dec
em
b
er
2
0
1
9
:
4
9
6
1
-
4
9
6
9
4966
T
h
ese
f
o
u
r
co
n
d
itio
n
s
(
C
1
,
C
2
,
C
3
,
an
d
C
4
)
,
to
s
to
p
th
e
iter
atio
n
s
ca
n
b
e
r
ep
r
esen
ted
as
-
C
1
:
(
l
og
ℎ
,
)
(
9
)
C
2
:
(
1
0
)
C
3
:
>
.
(
1
1
)
C
4
:
=
1
(
1
2
)
T
h
e
to
tal
n
u
m
b
er
o
f
iter
atio
n
s
,
N,
is
ca
lcu
lated
as
s
h
o
w
n
i
n
(
1
3
)
.
T
h
e
v
alu
e
o
f
N
is
in
itia
lized
to
0
.
T
h
e
v
alu
e
o
f
N
i
n
in
cr
e
m
e
n
ted
iter
ativ
el
y
u
n
til a
n
y
o
n
e
o
f
t
h
e
f
o
u
r
co
n
d
itio
n
s
b
ec
o
m
e
tr
u
e.
N=
{
+
1
,
(
1˅
2˅
3˅
4
=
)
0
,
othe
r
w
ise
(
1
3
)
T
h
e
m
i
g
r
atio
n
co
s
t f
o
r
th
e
j
th
VM
ca
n
b
e
ca
lcu
lated
as s
h
o
w
n
b
elo
w
.
=
,
1
−
−
1
1
−
(
1
4
)
T
h
e
to
tal
m
i
g
r
atio
n
t
i
m
e,
To
ta
lMi
g
time,
f
o
r
M
is
esti
m
ated
as
g
iv
e
n
b
elo
w
.
To
ta
lMi
g
time
= M.
Mig
time
(
1
5
)
T
h
e
co
s
t b
ef
o
r
e
m
i
g
r
atio
n
ca
n
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e
r
ep
r
esen
ted
as
-
=
∫
(
.
)
(
)
1
0
+
∫
(
.
)
(
)
1
0
+
∫
(
.
)
(
)
1
0
(
1
6
)
I
n
th
e
ab
o
v
e
eq
u
atio
n
ω
r
ep
r
esen
t
s
th
e
C
P
U
f
ac
to
r
f
o
r
m
e
m
o
r
y
;
α
r
ep
r
esen
ts
t
h
e
C
P
U
f
ac
to
r
f
o
r
I
/O
an
d
ρ
r
ep
r
esen
ts
th
e
C
P
U
f
ac
to
r
f
o
r
s
to
r
ag
e.
T
h
e
co
s
t d
u
r
in
g
m
i
g
r
a
tio
n
ca
n
b
e
r
ep
r
esen
ted
as
=
∫
(
.
)
(
)
1
+
∫
(
.
)
(
)
1
+
∫
(
.
)
(
)
1
(
1
7
)
T
h
e
p
er
f
o
r
m
a
n
ce
b
ef
o
r
e
m
i
g
r
atio
n
,
r
ep
r
esen
ted
a
s
P
er
f
j
befm
i
g
,
a
n
d
th
e
p
er
f
o
r
m
a
n
ce
d
u
r
in
g
m
ig
r
atio
n
,
r
ep
r
esen
ted
as P
er
f
jdurm
i
g
,
ca
n
b
e
ca
lcu
lated
as f
o
llo
w
s
.
=
(
1
8
)
=
(
1
9
)
2
.
4
.
Alg
o
rit
h
m
d
esig
n
T
h
e
p
r
o
ce
d
u
r
e
f
o
r
p
er
f
o
r
m
an
c
e
ev
alu
at
io
n
is
d
escr
ib
ed
in
t
h
e
f
o
llo
w
in
g
al
g
o
r
ith
m
.
I
n
p
u
t:
h
o
s
t
L
is
t,
v
m
s
Ou
tp
u
t: P
er
f
o
r
m
an
ce
v
ar
iatio
n
Fo
r
ea
ch
h
o
s
t i
n
h
o
s
t
L
i
s
t
Step
1
:
Ver
if
y
h
o
s
t
u
tili
za
tio
n
Step
2
:
I
f
h
o
s
t
u
til >=
8
0
%
,
id
en
ti
f
y
th
e
v
m
,
j
,
to
m
i
g
r
ate
a.
Sear
ch
th
e
v
m
w
i
th
Mi
n
i
m
u
m
M
i
g
r
atio
n
T
i
m
e
b
.
C
alcu
late
C
o
s
t b
ef
o
r
e
m
i
g
r
a
tio
n
as i
n
(
1
6
)
en
d
if
g
o
to
s
tep
5
Step
3
:
if
h
o
s
tu
t
il <
=2
0
%,
Mig
r
ate
all
th
e
VM
s
to
an
o
t
h
er
P
M
Step
4
:
Sear
ch
th
e
P
M
w
it
h
a.
Av
er
ag
e
r
eso
u
r
ce
u
tili
za
tio
n
,
i.e
b
etw
ee
n
2
0
% &
8
0
% a
n
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
erfo
r
ma
n
ce
d
eg
r
a
d
a
tio
n
a
s
s
ess
men
t a
n
d
V
M p
la
ce
men
t p
o
licy
in
clo
u
d
(
S
u
s
mita
J
.
A
.
N
a
ir
)
4967
b
.
Ne
w
VM
r
eso
u
r
ce
r
eq
u
ir
e
m
en
t +
E
x
i
s
i
n
g
r
eso
u
r
ce
u
til
izati
o
n
<8
0
%
Step
6
:
r
ep
ea
t th
e
iter
atio
n
s
f
o
r
m
i
g
r
at
in
g
VM
,
j
to
th
e
id
en
tif
ied
P
M
u
n
ti
l (
1
3
)
is
s
atis
f
ied
.
Step
7
:
C
alcu
late
C
o
s
t d
u
r
in
g
m
ig
r
ati
o
n
w
ith
(
1
7
)
Step
8
:
C
o
m
p
u
te
P
er
f
o
r
m
a
n
ce
b
ef
o
r
e
an
d
af
ter
m
ig
r
atio
n
w
it
h
(
1
8
)
an
d
(
1
9
)
r
esp
ec
tiv
ely
.
Step
9
:
C
alcu
late
p
er
f
o
r
m
a
n
ce
v
ar
iati
o
n
as th
e
d
i
f
f
er
e
n
ce
b
et
w
ee
n
p
er
f
o
r
m
an
ce
b
e
f
o
r
e
m
i
g
r
atio
n
&
p
er
f
o
r
m
a
n
ce
a
f
ter
m
i
g
r
atio
n
.
3.
P
E
RF
O
RM
ANCE E
VA
L
U
AT
I
O
N
T
h
er
e
ar
e
s
ev
er
al
clo
u
d
co
m
p
u
ti
n
g
en
v
ir
o
n
m
e
n
ts
s
u
p
p
o
r
tin
g
liv
e
m
i
g
r
atio
n
o
f
VM
.
VM
W
ar
e
v
Sp
h
er
e
m
ig
r
ate
s
th
e
v
ir
t
u
al
m
ac
h
i
n
e
’
s
s
tate
w
h
ile
th
e
n
et
w
o
r
k
r
elate
d
d
etails
ar
e
r
etain
ed
.
Au
to
m
atic
o
p
tim
izatio
n
o
f
v
ir
t
u
al
m
ac
h
i
n
es,
h
ar
d
w
ar
e
s
er
v
ice
w
ith
o
u
t
an
y
i
n
ter
r
u
p
tio
n
o
f
n
o
r
m
al
o
p
er
atio
n
s
is
p
o
s
s
ib
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.
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u
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Deg
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in
%.
T
h
e
p
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f
o
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m
an
c
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v
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w
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t
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m
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f
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w
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r
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r
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s
Fig
u
r
e
7
.
I
m
p
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o
v
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P
er
f
o
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m
an
ce
w
it
h
θ.
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a
n
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er
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e
t
h
e
p
e
r
f
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m
a
n
ce
h
a
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p
r
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v
ed
u
p
to
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%
4.
CO
NCLU
SI
O
N
I
n
a
clo
u
d
e
n
v
ir
o
n
m
en
t
lo
ca
li
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d
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er
lo
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in
g
o
f
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eso
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r
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s
o
f
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m
e
m
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y
,
s
to
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f
ac
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ca
n
b
e
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f
r
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m
VM
m
i
g
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.
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e
we
p
r
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ted
a
d
etailed
s
tu
d
y
o
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io
u
s
asp
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t
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f
VM
m
i
g
r
atio
n
th
r
o
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g
h
i
m
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m
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d
els
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d
ca
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lated
th
e
co
s
t
o
f
m
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g
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n
w
h
ic
h
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o
u
ld
b
e
u
s
ed
f
o
r
p
er
f
o
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m
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ce
s
tu
d
ie
s
in
clo
u
d
cl
u
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ter
s
.
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h
e
an
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y
s
is
h
a
s
s
h
o
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th
e
n
at
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r
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o
f
d
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ati
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f
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er
f
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w
h
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s
a
v
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to
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er
all
p
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o
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r
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en
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ar
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itec
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h
e
m
o
d
el
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n
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e
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m
p
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m
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to
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t
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ti
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es e
n
ab
li
n
g
co
s
t r
ed
u
ctio
n
.
RE
F
E
R
E
NC
E
S
[1
]
S.
J.
A
.
N
a
ir
a
n
d
T.
R.
G
.
Na
ir,
“
Re
so
u
rc
e
Ex
ten
sio
n
T
e
c
h
n
iq
u
e
s
in
En
ter
p
rise
A
rc
h
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tu
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s
th
ro
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g
h
Cl
o
u
d
Co
n
n
e
c
ti
v
it
y
,
”
In
t.
Co
n
f.
In
v
C
o
mp
u
t
T
e
c
h
n
.
,
Co
im
b
a
t
o
re
,
In
d
ia
,
2
0
1
6
.
[2
]
V
.
De
M
a
io
,
e
t
a
l
.
,
“
A
n
Im
p
ro
v
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d
M
o
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f
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r
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iv
e
M
ig
ra
ti
o
n
i
n
Da
t
a
Ce
n
tre
S
im
u
lato
rs,”
Pr
o
c
.
1
6
th
IEE
E/
ACM
In
t
.
S
y
mp
.
Cl
u
ste
r,
Clo
u
d
,
a
n
d
Gr
id
C
o
mp
u
t
,
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p
.
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7
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0
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.
[3
]
J.
P
iao
a
n
d
J.
Ya
n
,
“
A
n
e
tw
o
rk
-
a
wa
re
v
irt
u
a
l
m
a
c
h
in
e
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n
t
a
n
d
m
ig
ra
ti
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p
p
ro
a
c
h
i
n
c
lo
u
d
c
o
m
p
u
ti
n
g
,
”
Pro
c
.
In
t
.
Co
n
f.
o
n
Gr
id
a
n
d
C
o
o
p
e
r.
Co
mp
u
ti
n
g
,
Na
n
ji
n
g
,
C
h
i
n
a
,
p
p
.
87
-
92
,
2
0
1
0
.
[4
]
M
.
R.
C
h
o
w
d
h
u
ry
,
e
t
a
l
.
,
“
Im
p
lem
e
n
tatio
n
a
n
d
p
e
rf
o
rm
a
n
c
e
a
n
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ly
sis
o
f
v
a
rio
u
s
V
M
p
lac
e
m
e
n
t
stra
teg
ies
i
n
Clo
u
d
S
im
,
”
J
.
Clo
u
d
Co
m
p
,
2
0
1
5
.
[5
]
M
.
Da
b
b
a
g
h
,
e
t
a
l
.
,
“
Ef
f
icie
n
t
Da
tac
e
n
ter
Re
so
u
rc
e
Util
iza
ti
o
n
T
h
ro
u
g
h
Cl
o
u
d
Re
so
u
rc
e
Ov
e
r
c
o
m
m
it
m
e
n
t,
”
IEE
E
INFOCOM
2
0
1
5
W
o
rk
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o
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n
M
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il
e
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d
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n
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,
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p
.
3
3
0
-
335
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.
[6
]
G
.
S
u
n
,
e
t
a
l
.
,
“
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n
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w
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h
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iq
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e
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icie
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i
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ra
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n
o
f
m
u
lt
ip
le
v
irt
u
a
l
m
a
c
h
in
e
s,”
Fu
tu
re
Ge
n
e
ra
ti
o
n
Co
mp
.
S
y
st.
,
p
p
.
7
4
-
8
6
,
2
0
1
6
.
[7
]
H
.
L
iu
a
n
d
B
.
He
,
“
V
M
b
u
d
d
ies
:
Co
o
rd
in
a
ti
n
g
L
iv
e
M
ig
ra
ti
o
n
o
f
M
u
lt
i
-
T
ier
A
p
p
li
c
a
ti
o
n
s
in
Clo
u
d
En
v
iro
n
m
e
n
ts,”
IEE
E
T
ra
n
s.
P
a
r.
Distr.
S
y
ste
ms
,
v
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l.
2
6
,
p
p
.
1
1
9
2
-
1
2
0
5
,
2
0
1
5
.
[8
]
W
.
V
o
o
rslu
y
s,
e
t
a
l
.
,
“
Co
st
o
f
Virtu
a
l
M
a
c
h
i
n
e
L
iv
e
M
ig
ra
ti
o
n
in
Clo
u
d
s
:
A
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
,
”
Pro
c
.
1
s
t
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
o
n
Cl
o
u
d
Co
m
p
u
ti
n
g
,
Beiji
n
g
,
p
p
.
2
5
4
-
265
,
2
0
0
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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S
.
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iad
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e
t
a
l
.
,
“
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n
a
l
y
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o
f
re
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u
irem
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irt
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ig
ra
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ic
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s,”
1
2
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h
In
t.
S
y
mp
.
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r.
a
n
d
Distr.
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m
p
u
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g
,
p
p
.
1
1
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1
2
3
,
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0
1
3
.
[1
0
]
T
.
Al
-
S
a
id
a
n
d
O.
Ra
n
a
,
“
Im
p
lem
e
n
ti
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g
Mi
g
ra
ti
o
n
-
A
w
a
r
e
V
irt
u
a
l
M
a
c
h
in
e
s
,
”
IEE
E
2
n
d
In
t.
C
o
n
f
.
o
n
Cy
b
e
r
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e
c
a
n
d
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u
d
Co
mp
u
ti
n
g
,
2
0
1
5
.
[1
1
]
S
.
A
k
o
u
sh
,
e
t
a
l
.
,
“
P
re
d
icti
n
g
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e
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e
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o
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e
o
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irt
u
a
l
M
a
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e
M
ig
ra
ti
o
n
,
”
Pro
c
.
2
0
1
0
IE
EE
In
t
S
y
mp
o
n
M
o
d
e
li
n
g
,
A
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ly
a
n
d
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im.
Of
Co
mp
a
n
d
T
e
le
S
y
s
(
M
AS
COTS
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0
)
,
IEE
E
Co
m
p
u
ter
S
o
c
iety
,
W
a
sh
i
n
g
to
n
DC,
US
A
,
pp
.
37
-
46
,
2
0
1
0
.
[1
2
]
B
.
Hu
,
e
t
a
l
.
,
“
A
M
o
b
il
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y
-
Orie
n
ted
S
c
h
e
m
e
f
o
r
V
irt
u
a
l
M
a
c
h
in
e
M
ig
ra
ti
o
n
i
n
Clo
u
d
Da
ta
Ce
n
ter
Ne
tw
o
rk
,
”
IEE
E
Acc
e
ss
,
v
o
l.
4
,
p
p
.
8
3
2
7
-
8
3
3
7
,
2
0
1
6
.
[1
3
]
F.
Ca
ll
e
g
a
ti
a
n
d
W
.
Ce
rro
n
i,
“
L
i
v
e
M
ig
ra
ti
o
n
o
f
V
irt
u
a
li
z
e
d
Ed
g
e
Ne
tw
o
rk
s:
A
n
a
l
y
ti
c
a
l
M
o
d
e
li
n
g
a
n
d
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
,
”
IE
EE
S
DN4
FN
S
,
T
r
e
n
to
,
I
ta
ly
,
2
0
1
3
.
[1
4
]
S
.
J.
A
.
Na
ir
a
n
d
T
.
R.
G
.
N
a
ir,
“
En
e
rg
y
a
n
d
P
e
rf
o
rm
a
n
c
e
Ev
a
l
u
a
ti
o
n
i
n
Cl
o
u
d
L
iv
e
V
m
M
ig
ra
t
io
n
,
”
I
n
t
J
.
Res
.
An
a
lytic
a
l
Rev
iew
,
v
o
l.
6
,
p
p
.
1
1
0
7
-
1
1
1
2
,
2
0
1
9
.
[1
5
]
K.
L
i,
e
t
a
l
.,
“
V
irt
u
a
l
m
a
c
h
in
e
p
lac
e
m
e
n
t
in
c
lo
u
d
sy
ste
m
s
th
ro
u
g
h
m
i
g
ra
ti
o
n
p
ro
c
e
ss
,
”
In
t.
J
.
P
a
r.,
Eme
r
D
istr
S
y
ste
ms
,
p
p
.
3
9
3
-
4
1
0
,
2
0
1
4
.
[1
6
]
X
.
W
a
n
g
,
e
t
a
l
.,
“
De
la
y
-
c
o
st
trad
e
o
ff
f
o
r
v
irt
u
a
l
m
a
c
h
in
e
m
ig
r
a
ti
o
n
in
c
l
o
u
d
d
a
ta
c
e
n
ters
,
”
J
.
Ne
tw.
Co
mp
u
t.
A
p
p
l
.
,
v
o
l.
7
8
,
p
p
.
6
2
-
72
,
2
0
1
7
.
[1
7
]
W
.
Zh
a
n
g
,
e
t
a
l
.,
“
P
e
rf
o
rm
a
n
c
e
d
e
g
ra
d
a
ti
o
n
-
a
w
a
r
e
v
irt
u
a
l
m
a
c
h
in
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li
v
e
m
i
g
ra
ti
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n
in
v
irt
u
a
li
z
e
d
se
rv
e
rs,
”
Pro
c
.
1
3
t
h
IEE
E
In
t.
Co
n
f.
Pa
r
a
ll
e
l
Distrib
.
Co
mp
u
t
.
A
p
p
l
.
T
e
c
h
n
o
l.
(
PDCAT
)
,
p
p
.
4
2
9
-
4
3
5
,
2
0
1
2
.
[1
8
]
C.
Ya
n
g
,
e
t
a
l
.
,
“
A
D
y
n
a
m
ic
Re
so
u
rc
e
A
ll
o
c
a
ti
o
n
M
o
d
e
l
f
o
r
V
irt
u
a
l
M
a
c
h
in
e
M
a
n
a
g
e
m
e
n
t
o
n
Cl
o
u
d
,
”
Co
mm
u
n
.
Co
mp
u
t
.
In
fo
rm
.
S
c
ien
c
e
,
S
p
rin
g
e
r,
Ber
li
n
,
He
i
d
e
lb
e
rg
,
vol
.
2
6
1
,
p
p
.
5
8
1
-
5
9
0
,
2
0
1
1
.
[1
9
]
A
.
Ch
o
u
d
h
a
ry
,
e
t
a
l
.
,
“
A
c
rit
ica
l
s
u
rv
e
y
o
f
li
v
e
v
irt
u
a
l
m
a
c
h
in
e
m
i
g
ra
ti
o
n
tec
h
n
iq
u
e
s
,
”
J
.
Clo
u
d
Co
m
p
u
t:
A
d
v
.
,
S
y
s
t
.
Ap
p
l
,
v
o
l.
6
,
p
p
.
1
-
4
1
,
2
0
1
7
.
[2
0
]
W
.
Ce
rro
n
i
a
n
d
F
.
Esp
o
sit
o
,
“
Op
ti
m
izin
g
L
iv
e
M
ig
ra
ti
o
n
o
f
M
u
lt
ip
le
V
irt
u
a
l
M
a
c
h
in
e
s
,
”
IEE
E
T
ra
n
s.
On
Clo
u
d
Co
mp
u
t
.,
v
o
l
.
6
,
pp
.
1
0
9
6
-
1
1
0
9
,
2
0
1
8
.
[2
1
]
X
.
F
u
a
n
d
C.
Z
h
o
u
,
“
Virtu
a
l
m
a
c
h
in
e
se
lec
ti
o
n
a
n
d
p
lac
e
m
e
n
t
f
o
r
d
y
n
a
m
i
c
c
o
n
so
li
d
a
ti
o
n
i
n
Cl
o
u
d
c
o
m
p
u
ti
n
g
e
n
v
iro
n
m
e
n
t,
”
Fro
n
ti
e
rs
Co
m
p
u
t
.
S
c
i
.
,
v
o
l.
9
,
p
p
.
3
2
2
-
3
3
0
,
2
0
1
5
.
[2
2
]
v
S
p
h
e
re
v
M
o
ti
o
n
-
V
M
w
a
re
.
A
v
a
i
lab
le:
h
tt
p
s://
w
ww
.
v
m
wa
r
e
.
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o
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/i
n
/p
r
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d
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c
ts/v
sp
h
e
re
/v
m
o
ti
o
n
.
h
tm
l
.
[2
3
]
Re
d
Ha
t,
In
c
,
“
T
h
e
Re
d
Ha
t
En
terp
rise
L
in
u
x
Virtu
a
li
z
a
ti
o
n
G
u
id
e
,
”
Av
a
il
a
b
le:
h
tt
p
s://
a
c
c
e
ss
.
re
d
h
a
t.
c
o
m
/
d
o
c
u
m
e
n
tatio
n
/e
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-
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s/re
d
_
h
a
t
_
e
n
t
e
rp
rise
_
li
n
u
x
/5
/
h
tm
l/
v
irt
u
a
li
z
a
ti
o
n
/ch
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p
-
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irt
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n
-
x
e
n
_
li
v
e
_
m
ig
ra
ti
o
n
[2
4
]
A
.
Be
lo
g
laz
o
v
a
n
d
R.
B
u
y
y
a
,
“
O
p
ti
m
a
l
On
li
n
e
De
term
in
isti
c
A
lg
o
rit
h
m
s
a
n
d
A
d
a
p
ti
v
e
He
u
risti
c
s
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o
r
En
e
rg
y
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n
d
P
e
rf
o
rm
a
n
c
e
E
ff
icie
n
t
D
y
n
a
m
ic
Co
n
so
l
id
at
i
o
n
o
f
V
irt
u
a
l
M
a
c
h
in
e
s
in
Cl
o
u
d
Da
ta
Ce
n
ters
,
”
Co
n
c
u
rr
e
n
c
y
a
n
d
Co
mp
u
t
a
ti
o
n
:
Pra
c
ti
c
e
a
n
d
Exp
e
rie
n
c
e
,
v
o
l.
2
4
,
p
p
.
1
3
9
7
-
1
4
2
0
,
2
0
1
2
.
[2
5
]
A
.
R.
M
o
h
a
z
a
b
i
y
e
h
a
n
d
K
.
H.
Am
iri
z
a
d
e
h
,
“
En
e
rg
y
-
Aw
a
re
A
d
a
p
ti
v
e
F
o
u
r
T
h
re
sh
o
ld
s
T
e
c
h
n
iq
u
e
f
o
r
Op
ti
m
a
l
V
irt
u
a
l
M
a
c
h
i
n
e
P
lac
e
m
e
n
t,
”
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