T
E
L
K
O
M
NIKA
T
elec
o
mm
un
ica
t
io
n Co
m
pu
t
i
ng
E
lect
ro
nics
a
nd
Co
ntr
o
l
Vo
l.
24
,
No
.
5
,
Octo
b
er
20
26
,
p
p
.
1
5
0
4
~
1
5
1
2
I
SS
N:
1
6
9
3
-
6
9
3
0
,
DOI
:
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0
.
1
2
9
2
8
/
T
E
L
KOM
NI
K
A
.
v
24
i
5
.
27549
1504
J
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na
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m
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h
ttp
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//telko
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y:
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Sep
14
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2
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5
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ev
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Ma
y
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2026
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cc
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ted
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n
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2026
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h
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stu
d
y
d
e
sig
n
s
a
n
d
im
p
le
m
e
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ts
a
v
irt
u
a
l
n
e
tw
o
rk
b
a
se
d
o
n
so
f
tw
a
r
e
-
d
e
f
in
e
d
n
e
tw
o
rk
in
g
(S
DN
)
in
th
e
P
r
o
x
m
o
x
V
irt
u
a
l
E
n
v
iro
n
m
e
n
t
(
V
E)
u
si
n
g
Op
e
n
v
S
w
it
c
h
(OV
S
)
a
n
d
Op
e
n
Da
y
li
g
h
t
(OD
L
)
c
o
n
tro
ll
e
r,
w
it
h
p
e
rf
o
r
m
a
n
c
e
tes
ti
n
g
o
f
q
u
a
li
t
y
o
f
se
rv
i
c
e
(Qo
S
).
T
h
e
p
a
r
a
m
e
t
e
rs
tes
ted
in
c
lu
d
e
ra
te
li
m
it
e
r,
t
h
ro
u
g
h
p
u
t,
p
a
c
k
e
t
lo
ss
,
a
n
d
f
o
rw
a
rd
in
g
ra
te.
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ro
x
m
o
x
V
E
is
se
lec
ted
f
o
r
it
s
c
e
n
tralize
d
v
irt
u
a
li
z
a
ti
o
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a
n
d
c
l
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ste
rin
g
c
a
p
a
b
il
it
ies
,
w
h
il
e
OV
S
m
a
n
a
g
e
s
n
e
tw
o
rk
tra
ff
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a
m
o
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g
v
irt
u
a
l
m
a
c
h
in
e
s
(V
M
s
)
.
OD
L
is
c
h
o
se
n
f
o
r
it
s
c
o
m
p
a
ti
b
il
it
y
w
it
h
Op
e
n
F
lo
w
a
n
d
OVS
d
a
tab
a
se
(OV
S
DB)
p
ro
t
o
c
o
ls,
e
ss
e
n
ti
a
l
f
o
r
OV
S
m
a
n
a
g
e
m
e
n
t.
T
e
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se
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iP
e
rf
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ly
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a
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se
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ice
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c
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a
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ti
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a
d
s.
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o
rw
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in
g
ra
te
m
e
a
su
re
s
th
e
sy
st
e
m
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s
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k
e
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rd
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a
p
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e
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u
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e
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ro
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m
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re
h
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siv
e
n
e
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p
e
r
fo
rm
a
n
c
e
o
v
e
rv
ie
w
.
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e
su
lt
s
c
o
n
tri
b
u
te
to
o
p
ti
m
ize
d
S
DN
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b
a
se
d
v
irt
u
a
l
n
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tw
o
rk
i
m
p
le
m
e
n
tatio
n
s
in
P
r
o
x
m
o
x
e
n
v
iro
n
m
e
n
ts
a
n
d
p
ro
v
i
d
e
sc
ien
ti
f
ic
a
n
d
p
ra
c
ti
c
a
l
re
f
e
re
n
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e
s
f
o
r
d
e
v
e
lo
p
in
g
Qo
S
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b
a
se
d
v
irt
u
a
l
n
e
tw
o
rk
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g
s
y
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tem
s.
K
ey
w
o
r
d
s
:
H
y
p
er
v
i
s
o
r
Op
en
v
S
w
itc
h
Op
en
Da
y
lig
h
t
Qu
alit
y
o
f
s
er
v
ice
So
f
t
w
ar
e
-
d
ef
i
n
ed
n
et
w
o
r
k
in
g
P
r
o
x
m
o
x
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Sh
a
f
ir
a
Feb
r
ian
i
Dep
ar
t
m
en
t o
f
I
n
f
o
r
m
atic
s
E
n
g
in
ee
r
i
n
g
,
ST
MI
K
A
MI
K
B
an
d
u
n
g
B
an
d
u
n
g
,
I
n
d
o
n
es
ia
E
m
ail:
s
h
a
f
ir
a
@
s
t
m
i
k
-
a
m
i
k
b
a
n
d
u
n
g
.
ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
ex
p
o
n
en
tial
g
r
o
w
th
o
f
clo
u
d
co
m
p
u
ti
n
g
,
v
ir
t
u
aliz
atio
n
,
an
d
d
is
tr
ib
u
ted
ap
p
licatio
n
s
h
as
r
esh
ap
ed
th
e
w
a
y
m
o
d
er
n
d
ata
ce
n
ter
s
ar
e
d
esig
n
ed
an
d
m
an
ag
ed
.
T
r
ad
itio
n
al
in
f
r
astru
c
tu
r
es
w
er
e
in
itiall
y
o
p
tim
ized
f
o
r
n
o
r
th
–
s
o
u
t
h
tr
a
f
f
ic,
w
h
er
e
co
m
m
u
n
icatio
n
o
cc
u
r
r
ed
p
r
im
ar
il
y
b
et
w
ee
n
clie
n
ts
a
n
d
ce
n
tr
alize
d
s
er
v
er
s
[
1
]
.
Ho
w
e
v
er
,
th
e
r
is
e
o
f
ea
s
t
–
w
e
s
t
tr
af
f
ic,
d
r
iv
en
b
y
m
icr
o
s
er
v
ices,
v
ir
tu
aliza
tio
n
,
an
d
co
n
tain
er
izatio
n
,
r
eq
u
ir
es
d
ata
ce
n
ter
s
to
h
a
n
d
le
m
o
r
e
i
n
te
n
s
iv
e
later
al
f
lo
w
s
a
m
o
n
g
v
ir
tu
a
l
m
ac
h
i
n
es
(
VM
s
)
[
2
]
,
[
3
]
.
T
h
is
tr
af
f
ic
s
h
if
t
i
n
tr
o
d
u
ce
s
n
e
w
ch
al
len
g
es
f
o
r
p
e
r
f
o
r
m
an
ce
,
s
ca
lab
ilit
y
,
a
n
d
f
le
x
ib
ilit
y
o
f
n
et
w
o
r
k
in
f
r
astru
ct
u
r
es.
Mo
r
eo
v
er
,
em
er
g
i
n
g
p
ar
ad
ig
m
s
s
u
c
h
as
ed
g
e
co
m
p
u
t
in
g
,
in
ter
n
et
o
f
th
i
n
g
s
(
I
o
T
)
,
an
d
ar
tif
icial
i
n
tel
lig
e
n
ce
(
AI
)
-
d
r
i
v
en
w
o
r
k
lo
ad
s
d
e
m
a
n
d
p
r
ed
ictab
le
an
d
p
r
o
g
r
a
m
m
ab
le
n
et
w
o
r
k
s
er
v
ice
s
[
4
]
.
T
h
ese
ap
p
licatio
n
s
r
eq
u
ir
e
g
u
ar
an
teed
q
u
alit
y
o
f
s
er
v
ice
(
Qo
S)
to
en
s
u
r
e
lo
w
laten
c
y
,
m
i
n
i
m
al
p
ac
k
et
lo
s
s
,
an
d
s
tab
le
th
r
o
u
g
h
p
u
t.
U
n
f
o
r
t
u
n
ate
l
y
,
co
n
v
en
t
io
n
al
n
et
w
o
r
k
in
g
ap
p
r
o
ac
h
es
b
ased
o
n
s
tatic
co
n
f
ig
u
r
atio
n
a
n
d
m
an
u
al
m
a
n
ag
e
m
e
n
t a
r
e
in
ad
e
q
u
ate
f
o
r
m
ee
ti
n
g
th
e
s
e
d
y
n
a
m
ic
r
eq
u
ir
e
m
en
t
s
[
5
]
.
P
r
o
x
m
o
x
Vir
tu
a
l
E
n
v
ir
o
n
m
e
n
t
(
VE
)
h
as
g
a
in
ed
p
o
p
u
lar
it
y
as
an
o
p
en
-
s
o
u
r
ce
h
y
p
er
v
is
o
r
co
m
b
i
n
i
n
g
Ker
n
el
-
b
a
s
ed
v
ir
t
u
al
m
ac
h
i
n
e
(
KVM
)
an
d
L
i
n
u
x
c
o
n
tain
er
s
(
L
XC
)
.
I
t
o
f
f
er
s
cl
u
s
ter
i
n
g
,
li
v
e
m
ig
r
atio
n
,
h
i
g
h
av
ailab
ilit
y
,
an
d
ce
n
tr
alize
d
m
an
a
g
e
m
e
n
t
th
r
o
u
g
h
a
w
eb
in
ter
f
ac
e
[
6
]
.
Pro
x
m
o
x
VE
is
w
id
el
y
ad
o
p
ted
in
ac
ad
em
ic
i
n
s
tit
u
tio
n
s
,
r
esear
ch
lab
o
r
ato
r
ies,
an
d
s
m
all
-
to
-
m
ed
i
u
m
en
ter
p
r
is
e
s
d
u
e
t
o
its
lo
w
co
s
t
a
n
d
f
le
x
ib
ilit
y
.
Ho
w
e
v
er
,
its
n
et
wo
r
k
m
a
n
a
g
e
m
e
n
t
ca
p
ab
ilit
ies
ar
e
lim
i
ted
to
tr
a
d
itio
n
al
L
i
n
u
x
b
r
id
g
es
an
d
s
tatic
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
A
n
a
lysi
s
o
f so
ftw
a
r
e
-
d
efin
ed
n
etw
o
r
k
o
n
P
r
o
xmo
x
w
ith
q
u
a
li
ty
-
of
-
s
ervice
… (
S
h
a
fir
a
F
eb
r
ia
n
i
)
1505
v
ir
tu
a
l
lo
ca
l
ar
ea
n
e
t
w
o
r
k
(
V
L
A
N)
co
n
f
i
g
u
r
atio
n
s
[
7
]
.
T
h
ese
li
m
itatio
n
s
b
ec
o
m
e
cr
itical
w
h
e
n
m
u
lti
-
ten
a
n
t
w
o
r
k
lo
ad
s
o
r
ti
m
e
-
s
en
s
iti
v
e
s
e
r
v
ices r
eq
u
ir
e
g
u
ar
an
teed
b
an
d
w
id
t
h
o
r
tr
af
f
ic
p
r
io
r
itizatio
n
.
T
o
ad
d
r
ess
th
ese
ch
alle
n
g
e
s
,
s
o
f
t
w
ar
e
-
d
ef
i
n
ed
n
e
t
w
o
r
k
i
n
g
(
SDN)
h
as
e
m
er
g
ed
as
a
p
ar
a
d
ig
m
t
h
at
s
ep
ar
ates
th
e
co
n
tr
o
l
p
lan
e
f
r
o
m
t
h
e
d
ata
p
lan
e,
p
r
o
v
id
in
g
ce
n
tr
alize
d
p
r
o
g
r
am
m
ab
ili
t
y
a
n
d
au
to
m
at
io
n
[
8
]
.
B
y
d
ec
o
u
p
lin
g
co
n
tr
o
l
lo
g
ic
f
r
o
m
f
o
r
w
ar
d
in
g
d
ev
ice
s
,
SDN
en
ab
les
ad
m
in
is
tr
ato
r
s
t
o
en
f
o
r
ce
p
o
licies
d
y
n
a
m
icall
y
,
o
p
ti
m
ize
tr
a
f
f
ic
r
o
u
tin
g
,
an
d
allo
ca
te
b
an
d
w
id
th
b
ased
o
n
s
er
v
ice
-
lev
el
a
g
r
e
e
m
en
ts
(
S
L
As)
[
9
]
.
Op
en
Da
y
lig
h
t
(
OD
L
)
,
o
n
e
o
f
th
e
m
o
s
t
w
id
el
y
u
s
ed
o
p
en
-
s
o
u
r
ce
SDN
co
n
tr
o
ller
s
,
p
r
o
v
id
es
m
o
d
u
lar
it
y
a
n
d
ex
ten
s
ib
ilit
y
,
en
ab
li
n
g
co
m
m
u
n
ica
tio
n
w
it
h
p
r
o
g
r
a
m
m
ab
l
e
s
w
i
tch
e
s
s
u
c
h
as
Op
en
v
S
w
itc
h
(
OVS)
v
ia
Op
en
Flo
w
an
d
OVS
d
atab
ase
(
OVSDB
)
[
1
0
]
.
A
g
r
o
w
i
n
g
b
o
d
y
o
f
liter
at
u
r
e
h
i
g
h
lig
h
t
s
th
e
p
o
ten
tial
o
f
SDN
f
o
r
en
h
a
n
ci
n
g
d
ata
ce
n
ter
p
er
f
o
r
m
a
n
ce
.
Mc
Keo
w
n
et
a
l.
[
1
1
]
in
tr
o
d
u
ce
d
th
e
Op
en
Flo
w
s
tan
d
ar
d
,
en
ab
lin
g
p
r
o
g
r
am
m
ab
le
s
w
itc
h
e
s
f
o
r
th
e
f
ir
s
t
ti
m
e.
Pf
af
f
e
t
a
l
.
[
3
]
d
em
o
n
s
t
r
a
t
e
d
th
e
s
c
al
a
b
i
li
ty
o
f
OV
S
in
p
r
o
d
u
c
ti
o
n
c
l
o
u
d
en
v
i
r
o
n
m
en
t
s
.
S
e
z
e
r
e
t
a
l
.
[
4
]
em
p
h
a
s
iz
e
d
t
h
e
a
b
i
l
ity
o
f
S
D
N
t
o
p
r
o
v
i
d
e
d
e
te
r
m
in
is
t
i
c
Q
o
S
in
l
a
r
g
e
-
s
ca
l
e
d
e
p
l
o
y
m
en
ts
.
Kim
an
d
F
e
am
s
te
r
[
7
]
s
h
o
w
e
d
h
o
w
SD
N
im
p
r
o
v
e
s
au
t
o
m
a
ti
o
n
an
d
r
e
d
u
c
es
co
n
f
ig
u
r
a
t
i
o
n
e
r
r
o
r
s
.
M
o
n
t
az
e
r
o
lg
h
a
em
an
d
Y
ag
h
m
a
e
e
[1
2
]
s
u
r
v
ey
e
d
i
n
n
o
v
a
ti
o
n
s
in
O
p
en
F
l
o
w
-
e
n
a
b
l
e
d
n
etw
o
r
k
s
,
i
d
e
n
t
if
y
in
g
t
r
af
f
i
c
e
n
g
in
e
e
r
i
n
g
an
d
Q
o
S
as
k
ey
u
s
e
c
as
e
s
.
A
l
q
ah
t
an
i
e
t
a
l
.
[1
3
]
d
em
o
n
s
t
r
a
t
e
d
S
D
N
’
s
r
o
l
e
in
Q
o
S
-
aw
a
r
e
t
r
af
f
i
c
e
n
g
in
e
e
r
i
n
g
,
w
h
i
l
e
K
am
b
o
j
e
t
a
l
.
[1
4
]
e
x
p
l
o
r
e
d
O
p
en
Fl
o
w
f
o
r
f
in
e
-
g
r
a
in
e
d
b
an
d
w
i
d
th
m
an
ag
em
en
t
.
Desp
ite
th
ese
ad
v
a
n
ce
s
,
m
o
s
t
r
esear
ch
h
as
f
o
cu
s
ed
o
n
SDN
in
teg
r
atio
n
w
ith
p
latf
o
r
m
s
s
u
ch
as
Op
en
Stac
k
[1
5
]
,
VM
w
ar
e
N
S
X
[1
6
]
,
o
r
en
ter
p
r
is
e
clo
u
d
f
r
am
e
w
o
r
k
s
[1
7
]
.
I
n
co
n
tr
ast,
P
r
o
x
m
o
x
VE
r
e
m
ain
s
lar
g
el
y
u
n
d
er
ex
p
lo
r
ed
in
th
e
co
n
tex
t
o
f
SDN
-
e
n
ab
led
Qo
S.
P
r
io
r
w
o
r
k
s
p
r
i
m
ar
il
y
e
v
alu
a
te
P
r
o
x
m
o
x
as
a
lo
w
-
co
s
t
h
y
p
er
v
is
o
r
[
18
]
o
r
as
a
c
lu
s
ter
i
n
g
s
o
lu
tio
n
[
19
]
,
b
u
t
r
a
r
el
y
co
n
s
id
er
its
n
et
w
o
r
k
i
n
g
l
i
m
itat
io
n
s
.
T
o
d
ate,
n
o
co
m
p
r
eh
en
s
i
v
e
s
t
u
d
y
h
as
q
u
an
t
if
ied
th
e
i
m
p
ac
t
o
f
SDN
-
e
n
ab
led
Qo
S
en
f
o
r
ce
m
en
t
in
P
r
o
x
m
o
x
VE
o
n
k
e
y
p
er
f
o
r
m
a
n
ce
m
etr
ics s
u
c
h
as t
h
r
o
u
g
h
p
u
t,
p
ac
k
et
lo
s
s
,
r
ate
li
m
iti
n
g
,
an
d
f
o
r
w
ar
d
in
g
r
ate.
T
h
e
r
e
f
o
r
e
,
t
h
i
s
s
t
u
d
y
a
im
s
t
o
f
il
l
th
is
g
a
p
b
y
d
es
ig
n
in
g
,
im
p
l
em
en
ti
n
g
,
an
d
ev
a
lu
at
in
g
an
S
DN
-
en
a
b
l
e
d
Pr
o
x
m
o
x
V
E
a
r
ch
i
te
c
tu
r
e
.
Sp
e
c
i
f
i
c
a
lly
,
t
h
e
c
o
n
t
r
i
b
u
t
i
o
n
s
o
f
t
h
i
s
p
a
p
e
r
a
r
e
th
r
e
ef
o
l
d
:
(
i
)
s
y
s
t
em
d
es
ig
n
:
i
n
te
g
r
a
t
i
o
n
o
f
O
DL
a
s
th
e
S
DN
c
o
n
t
r
o
l
l
e
r
an
d
OV
S
a
s
th
e
d
a
t
a
p
l
an
e
w
i
th
i
n
Pr
o
x
m
o
x
VE
;
(
i
i
)
p
e
r
f
o
r
m
an
ce
e
v
a
lu
at
i
o
n
:
ex
p
e
r
i
m
en
t
al
m
ea
s
u
r
em
e
n
t
o
f
Q
o
S
en
f
o
r
c
em
en
t
u
s
i
n
g
i
P
e
r
f
3
,
f
o
cu
s
in
g
o
n
th
r
o
u
g
h
p
u
t
s
t
a
b
i
li
ty
,
p
a
c
k
e
t
l
o
s
s
r
e
d
u
c
ti
o
n
,
r
at
e
lim
i
t
e
r
a
c
cu
r
a
cy
,
an
d
f
o
r
w
a
r
d
i
n
g
ef
f
i
c
i
en
cy
;
an
d
(
i
ii
)
c
o
m
p
a
r
a
tiv
e
a
n
a
ly
s
i
s
:
i
n
te
r
p
r
e
t
a
ti
o
n
o
f
r
esu
l
ts
ag
a
in
s
t
u
n
m
an
ag
e
d
s
ce
n
a
r
i
o
s
an
d
p
r
io
r
r
e
s
e
a
r
ch
f
in
d
in
g
s
,
d
em
o
n
s
t
r
a
t
in
g
th
e
n
o
v
e
l
ty
o
f
a
p
p
ly
in
g
SD
N
i
n
Pr
o
x
m
o
x
VE
.
T
h
e
r
em
a
in
d
er
o
f
th
i
s
p
ap
er
i
s
o
r
g
an
ized
as
f
o
llo
w
s
:
s
ec
tio
n
2
p
r
esen
t
s
t
h
e
t
h
eo
r
etica
l
b
ac
k
g
r
o
u
n
d
an
d
r
esear
ch
m
e
th
o
d
o
lo
g
y
.
S
ec
tio
n
3
d
is
cu
s
s
es
th
e
ex
p
er
i
m
en
tal
r
esu
lt
s
,
w
h
ile
s
ect
io
n
4
p
r
o
v
id
es
an
al
y
s
i
s
an
d
d
is
cu
s
s
io
n
.
Sec
tio
n
5
co
n
c
lu
d
es t
h
e
p
ap
er
w
ith
a
s
u
m
m
ar
y
o
f
f
in
d
i
n
g
s
an
d
f
u
tu
r
e
d
ir
ec
ti
o
n
s
.
2.
M
E
T
H
O
D
2
.
1
.
T
heo
re
t
ica
l
ba
ck
g
ro
un
d
2
.
1
.
1
.
SDN
SDN
is
a
n
et
w
o
r
k
i
n
g
p
ar
ad
ig
m
t
h
at
i
n
tr
o
d
u
ce
s
p
r
o
g
r
a
m
m
a
b
ilit
y
b
y
s
ep
ar
atin
g
t
h
e
co
n
tr
o
l
p
lan
e
an
d
th
e
d
ata
p
lan
e.
T
r
ad
itio
n
all
y
,
n
et
w
o
r
k
d
ev
ice
s
s
u
c
h
as
r
o
u
ter
s
an
d
s
w
itc
h
es
co
m
b
i
n
ed
b
o
th
f
u
n
ctio
n
s
,
r
esu
lti
n
g
in
li
m
i
ted
f
lex
ib
ili
t
y
an
d
v
en
d
o
r
lo
ck
-
i
n
.
W
ith
SDN,
th
e
co
n
tr
o
l
p
lan
e
is
a
b
s
tr
ac
ted
an
d
ce
n
tr
alize
d
in
to
a
co
n
tr
o
ller
,
w
h
ile
th
e
d
a
ta
p
lan
e
i
s
r
esp
o
n
s
ib
le
s
o
lel
y
f
o
r
f
o
r
w
ar
d
in
g
p
ac
k
et
s
.
C
o
n
tr
o
ller
s
s
u
c
h
a
s
OD
L
co
m
m
u
n
icate
w
it
h
p
r
o
g
r
a
m
m
ab
le
s
w
i
tch
e
s
th
r
o
u
g
h
s
o
u
th
b
o
u
n
d
p
r
o
to
co
ls
lik
e
Op
en
F
lo
w
a
n
d
OVSDB
.
T
h
is
ar
ch
itect
u
r
e
p
r
o
v
id
es sev
er
al
a
d
v
an
ta
g
es:
−
C
en
tr
alize
d
p
o
lic
y
co
n
tr
o
l: a
d
m
i
n
is
tr
ato
r
s
ca
n
d
ep
lo
y
g
lo
b
al
tr
af
f
ic
r
u
les
f
r
o
m
a
s
i
n
g
le
p
o
in
t.
−
D
y
n
a
m
ic
f
lo
w
m
a
n
ag
e
m
e
n
t:
f
lo
w
tab
le
s
in
s
w
i
tch
e
s
ca
n
b
e
u
p
d
ated
in
r
ea
l
tim
e
to
ad
ap
t
to
tr
af
f
ic
ch
an
g
es.
−
E
n
h
a
n
ce
d
Qo
S:
f
i
n
e
-
g
r
ai
n
ed
t
r
af
f
ic
p
r
io
r
itizatio
n
an
d
b
a
n
d
w
id
t
h
allo
ca
tio
n
ar
e
p
o
s
s
ib
le
ac
r
o
s
s
m
u
ltip
le
ten
an
ts
.
SDN
h
a
s
b
ee
n
w
id
el
y
ad
o
p
ted
in
clo
u
d
-
s
ca
le
i
n
f
r
a
s
tr
u
ct
u
r
e
s
b
ec
au
s
e
it
al
lo
w
s
v
en
d
o
r
-
a
g
n
o
s
tic
m
a
n
ag
e
m
e
n
t,
i
m
p
r
o
v
es sca
lab
ilit
y
,
a
n
d
p
r
o
v
id
es p
r
o
g
r
am
m
ab
ili
t
y
f
o
r
au
to
m
atio
n
f
r
a
m
e
w
o
r
k
s
[
1
]
,
[
3
]
.
2
.
1
.
2
.
P
ro
x
m
o
x
V
E
P
r
o
x
m
o
x
VE
is
a
n
o
p
en
-
s
o
u
r
ce
v
ir
tu
al
izatio
n
p
lat
f
o
r
m
t
h
a
t
co
m
b
i
n
es
K
VM
an
d
L
XC
t
o
p
r
o
v
id
e
b
o
th
f
u
ll
v
ir
t
u
aliza
tio
n
a
n
d
lig
h
t
w
ei
g
h
t
co
n
ta
in
er
izatio
n
.
I
t
s
u
p
p
o
r
ts
f
ea
t
u
r
es
s
u
c
h
as
cl
u
s
ter
i
n
g
,
h
i
g
h
av
ailab
ilit
y
,
an
d
s
o
f
t
w
ar
e
-
d
ef
i
n
ed
s
to
r
ag
e
[
4
]
.
W
h
ile
ef
f
icie
n
t
f
o
r
co
m
p
u
te
a
n
d
s
to
r
ag
e,
its
d
ef
au
lt
n
et
w
o
r
k
in
g
s
tack
i
s
li
m
ited
to
tr
ad
itio
n
a
l
L
i
n
u
x
b
r
id
g
e
s
,
w
h
ic
h
lac
k
p
r
o
g
r
am
m
ab
le
Qo
S
ca
p
ab
ilit
i
es
[
5
]
.
Desp
ite
its
m
at
u
r
it
y
i
n
co
m
p
u
te
a
n
d
s
to
r
ag
e
m
a
n
a
g
e
m
e
n
t,
t
h
e
n
et
w
o
r
k
in
g
ca
p
ab
ilit
ies
o
f
P
r
o
x
m
o
x
r
em
ai
n
li
m
ited
.
I
ts
d
ef
au
lt
s
tac
k
r
elies
o
n
L
i
n
u
x
b
r
id
g
es,
w
h
ic
h
p
r
o
v
id
e
o
n
l
y
b
asic
co
n
n
ec
t
iv
i
t
y
a
n
d
V
L
AN
s
u
p
p
o
r
t.
Featu
r
e
s
s
u
c
h
as
p
r
o
g
r
am
m
ab
le
Qo
S
en
f
o
r
ce
m
en
t,
d
y
n
a
m
ic
f
lo
w
s
ch
ed
u
li
n
g
,
o
r
ce
n
t
r
alize
d
tr
af
f
ic
en
g
in
ee
r
i
n
g
ar
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
24
,
No
.
5
,
Octo
b
e
r
20
26
:
1
5
0
4
-
1512
1506
ab
s
en
t
[
4
]
,
[
5
]
.
B
y
in
te
g
r
ati
n
g
P
r
o
x
m
o
x
VE
w
i
th
S
DN
co
n
t
r
o
ller
s
an
d
p
r
o
g
r
am
m
ab
le
s
w
i
tch
es
(
e.
g
.
,
OVS)
,
th
e
p
latf
o
r
m
ca
n
b
e
en
h
a
n
c
ed
to
d
eliv
er
Qo
S
g
u
ar
an
tee
s
co
m
p
ar
ab
le
to
en
ter
p
r
is
e
-
g
r
ad
e
v
ir
tu
aliza
tio
n
p
latf
o
r
m
s
s
u
c
h
as VM
w
ar
e
NSX
o
r
Op
en
Stack
Ne
u
tr
o
n
.
2
.
1
.
3
.
Q
o
S
Qo
S
r
ef
er
s
to
m
ec
h
a
n
is
m
s
e
n
s
u
r
i
n
g
p
r
ed
ictab
le
n
et
w
o
r
k
p
er
f
o
r
m
an
ce
ac
r
o
s
s
d
iv
er
s
e
ap
p
licatio
n
s
.
Ke
y
p
ar
a
m
eter
s
in
c
lu
d
e
t
h
r
o
u
g
h
p
u
t
(
r
ate
o
f
s
u
cc
e
s
s
f
u
l
d
ata
d
eliv
er
y
)
,
late
n
c
y
(
d
ela
y
i
n
t
r
an
s
m
is
s
io
n
)
,
j
itter
(
v
ar
iab
ilit
y
i
n
d
elay
)
,
an
d
p
ac
k
et
lo
s
s
(
d
r
o
p
p
e
d
p
ac
k
ets
d
u
r
in
g
tr
an
s
m
is
s
io
n
)
[
6
]
,
[
7
]
.
E
f
f
e
ctiv
e
Qo
S
is
cr
itical
f
o
r
r
ea
l
-
ti
m
e
ap
p
licatio
n
s
s
u
ch
as
v
id
eo
co
n
f
er
en
c
in
g
,
v
o
ice
o
v
er
in
ter
n
et
p
r
o
to
co
l
(
Vo
I
P
)
,
an
d
clo
u
d
w
o
r
k
lo
ad
s
.
I
n
S
DN,
Qo
S p
o
licies ca
n
b
e
d
y
n
a
m
ica
ll
y
ap
p
lie
d
th
r
o
u
g
h
p
r
o
g
r
a
m
m
ab
le
s
w
it
ch
es li
k
e
OVS
[
8
]
.
2
.
2
.
Resea
rc
h
m
et
ho
do
lo
g
y
T
h
e
m
et
h
o
d
o
l
o
g
y
o
f
th
i
s
s
tu
d
y
f
o
llo
w
s
a
s
tr
u
ct
u
r
ed
r
esear
ch
p
r
o
ce
s
s
(
Fig
u
r
e
1
)
co
n
s
is
tin
g
o
f
s
i
x
s
tag
e
s
:
p
r
o
b
lem
id
e
n
ti
f
icatio
n
,
liter
atu
r
e
s
tu
d
y
,
s
y
s
te
m
d
esi
g
n
,
s
y
s
te
m
i
m
p
le
m
e
n
tatio
n
,
s
y
s
te
m
tes
tin
g
,
an
d
an
al
y
s
is
.
−
Step
1
.
Pro
b
lem
id
en
ti
f
icat
io
n
T
h
e
s
tu
d
y
b
eg
i
n
s
w
it
h
id
en
t
if
y
in
g
t
h
e
li
m
itatio
n
s
o
f
P
r
o
x
m
o
x
VE
in
p
r
o
v
id
in
g
p
r
o
g
r
a
m
m
ab
le
n
et
w
o
r
k
i
n
g
an
d
g
u
ar
an
teed
Qo
S.
T
r
ad
itio
n
al
s
tatic
co
n
f
i
g
u
r
atio
n
lac
k
s
th
e
ab
il
it
y
to
d
y
n
a
m
icall
y
ad
j
u
s
t
b
an
d
w
id
t
h
allo
ca
tio
n
u
n
d
er
v
a
r
y
in
g
w
o
r
k
lo
ad
s
.
−
Step
2
.
L
iter
atu
r
e
s
t
u
d
y
A
co
m
p
r
eh
e
n
s
i
v
e
r
e
v
ie
w
o
f
ex
i
s
ti
n
g
w
o
r
k
s
o
n
SDN,
Qo
S,
an
d
v
ir
tu
a
lizatio
n
p
lat
f
o
r
m
s
w
as
co
n
d
u
cted
.
Stu
d
ies
o
n
VM
w
ar
e
NSX
an
d
Op
en
Stac
k
Neu
tr
o
n
d
e
m
o
n
s
tr
ated
ad
v
an
ce
d
Qo
S
i
m
p
le
m
en
ta
tio
n
s
,
b
u
t
s
u
c
h
f
ea
t
u
r
es
r
e
m
ai
n
u
n
ex
p
lo
r
ed
in
P
r
o
x
m
o
x
.
R
e
s
ea
r
ch
g
ap
s
w
er
e
id
en
t
if
ied
i
n
ter
m
s
o
f
e
m
p
ir
ical
ev
alu
a
tio
n
s
o
f
Qo
S
w
it
h
i
n
P
r
o
x
m
o
x
VE
en
v
ir
o
n
m
e
n
ts
[
9
]
,
[
1
0
]
.
−
Step
3
.
Sy
s
te
m
d
esi
g
n
T
h
e
ex
p
er
i
m
en
tal
d
esi
g
n
in
v
o
lv
es
i
n
te
g
r
atin
g
O
D
L
as
t
h
e
SDN
co
n
tr
o
ller
w
i
th
OVS
a
s
th
e
d
ata
p
lan
e
in
s
id
e
P
r
o
x
m
o
x
VE
.
i
P
er
f
3
is
u
s
ed
as
t
h
e
tr
af
f
ic
g
e
n
er
ato
r
.
T
h
e
s
y
s
te
m
ar
c
h
itect
u
r
e,
as
illu
s
tr
ated
in
Fig
u
r
e
1
,
en
s
u
r
es th
a
t Q
o
S c
an
b
e
d
y
n
a
m
ical
l
y
e
n
f
o
r
ce
d
an
d
m
o
n
ito
r
ed
.
Fig
u
r
e
1
.
S
y
s
te
m
ar
ch
itect
u
r
e
T
h
e
p
r
o
p
o
s
ed
ar
ch
itectu
r
e
co
n
s
i
s
ts
o
f
t
w
o
m
ain
co
m
p
o
n
e
n
ts
:
th
e
p
h
y
s
ical
i
n
f
r
astru
ct
u
r
e
an
d
th
e
v
ir
tu
a
lizatio
n
e
n
v
ir
o
n
m
en
t.
I
n
th
e
p
h
y
s
ical
in
f
r
astr
u
ct
u
r
e,
th
e
n
et
w
o
r
k
b
e
g
in
s
w
it
h
an
in
ter
n
et
co
n
n
ec
tio
n
r
o
u
ted
th
r
o
u
g
h
a
Mik
ro
T
ik
r
o
u
ter
an
d
s
w
itc
h
es
co
n
f
ig
u
r
e
d
w
i
th
V
L
A
N
s
eg
m
e
n
tatio
n
.
T
h
is
s
e
g
m
en
tatio
n
s
er
v
es
a
s
t
h
e
b
asi
s
f
o
r
lo
g
ica
ll
y
s
ep
ar
atin
g
d
ata
tr
af
f
ic
b
e
f
o
r
e
it
r
ea
ch
es
t
h
e
P
r
o
x
m
o
x
-
b
ased
v
ir
t
u
aliza
tio
n
s
er
v
er
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
A
n
a
lysi
s
o
f so
ftw
a
r
e
-
d
efin
ed
n
etw
o
r
k
o
n
P
r
o
xmo
x
w
ith
q
u
a
li
ty
-
of
-
s
ervice
… (
S
h
a
fir
a
F
eb
r
ia
n
i
)
1507
−
Step
4
.
Sy
s
te
m
i
m
p
le
m
e
n
tatio
n
P
r
o
x
m
o
x
VE
w
as
i
n
s
tal
led
o
n
p
h
y
s
ical
h
ar
d
w
ar
e
(
I
n
tel
i5
-
8
4
0
0
,
2
4
GB
R
A
M,
2
5
6
GB
S
SD)
.
VM
s
w
er
e
co
n
f
i
g
u
r
ed
f
o
r
th
e
OD
L
co
n
tr
o
ller
,
OVS
s
w
i
tch
e
s
,
a
n
d
tr
af
f
ic
g
en
er
ato
r
s
.
C
o
n
n
ec
ti
v
i
t
y
w
a
s
estab
li
s
h
ed
u
s
i
n
g
OVS
b
r
id
g
es (
o
v
s
b
r
0
)
,
f
o
llo
w
i
n
g
t
h
e
SD
N
n
et
w
o
r
k
d
e
s
ig
n
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
Fig
u
r
e
2
.
SDN
n
et
w
o
r
k
d
esi
g
n
On
th
e
d
ata
p
lan
e
s
id
e,
th
er
e
ar
e
s
ev
er
al
v
ir
tu
al
s
w
itc
h
es
(
OVS_
1
,
OVS_
2
,
an
d
OVS_
3
)
r
u
n
n
i
n
g
in
s
ep
ar
ate
VM
s
,
ea
ch
co
n
n
ec
te
d
u
s
in
g
t
h
e
o
v
s
b
r
0
b
r
id
g
e.
T
h
ese
s
w
itc
h
es
ar
e
f
u
ll
y
co
n
tr
o
lled
b
y
th
e
OD
L
,
w
h
ic
h
m
an
a
g
es
tr
af
f
ic
f
lo
w
a
n
d
ap
p
lies
Qo
S
p
o
licies
a
s
n
ee
d
ed
.
C
o
m
m
a
n
d
s
s
u
c
h
as
o
v
s
-
v
s
ctl
ar
e
u
s
ed
to
co
n
n
ec
t
t
h
e
OV
S
to
th
e
co
n
t
r
o
ller
an
d
s
et
o
th
er
tech
n
ical
p
ar
am
eter
s
.
T
h
is
d
es
ig
n
all
o
w
s
t
h
e
s
y
s
te
m
to
s
ep
ar
ate
th
e
co
n
tr
o
l
p
lan
e
an
d
th
e
d
ata
p
lan
e,
s
i
m
p
li
f
y
in
g
n
e
t
w
o
r
k
p
er
f
o
r
m
a
n
ce
test
in
g
a
n
d
Qo
S
i
m
p
le
m
en
ta
tio
n
i
n
a
v
ir
t
u
alize
d
en
v
ir
o
n
m
e
n
t.
−
Step
5
.
Sy
s
te
m
t
esti
n
g
T
esti
n
g
w
a
s
d
iv
id
ed
i
n
to
t
w
o
s
ce
n
ar
io
s
:
b
ase
lin
e
(
w
i
th
o
u
t
Q
o
S)
an
d
SDN
-
en
ab
led
(
w
it
h
Q
o
S).
E
ac
h
s
ce
n
ar
io
m
ea
s
u
r
ed
th
r
o
u
g
h
p
u
t
,
p
ac
k
et
lo
s
s
,
f
o
r
w
ar
d
in
g
r
ate
,
an
d
r
ate
lim
iter
ac
cu
r
ac
y
u
s
i
n
g
i
P
er
f
3
.
A
ll
tes
ts
w
er
e
co
n
d
u
cted
u
s
in
g
iP
er
f
3
.
Fo
r
th
r
o
u
g
h
p
u
t
test
s
,
w
e
u
s
e
d
a
s
tan
d
ar
d
6
0
-
s
ec
o
n
d
T
C
P
s
tr
ea
m
w
i
th
d
e
f
au
lt
w
i
n
d
o
w
s
ize
s
to
s
i
m
u
la
te
b
u
l
k
d
ata
tr
a
n
s
f
er
.
P
ac
k
et
lo
s
s
w
a
s
m
ea
s
u
r
ed
co
n
c
u
r
r
en
tl
y
.
E
ac
h
s
ce
n
ar
io
(
D
P
1
,
DP
2
,
D
P
3
)
r
ep
r
esen
ts
an
av
er
ag
e
o
f
f
iv
e
te
s
t r
u
n
s
to
en
s
u
r
e
s
tatis
t
ical
r
eliab
ilit
y
.
W
h
ile
late
n
c
y
an
d
j
itter
ar
e
cr
itical
Qo
S
m
etr
ic
s
,
t
h
is
s
t
u
d
y
’
s
s
co
p
e
is
f
o
cu
s
ed
o
n
b
an
d
w
id
th
-
in
te
n
s
i
v
e,
m
u
lti
-
ten
a
n
t
ap
p
lic
atio
n
s
(
e.
g
.
,
clo
u
d
s
to
r
ag
e,
V
M
m
i
g
r
atio
n
)
w
h
er
e
t
h
r
o
u
g
h
p
u
t,
p
ac
k
et
lo
s
s
,
a
n
d
f
o
r
w
ar
d
i
n
g
s
tab
ilit
y
ar
e
th
e
p
r
i
m
ar
y
p
er
f
o
r
m
a
n
ce
i
n
d
icato
r
s
.
Fu
t
u
r
e
w
o
r
k
w
il
l
ex
te
n
d
th
is
an
al
y
s
is
to
i
n
clu
d
e
laten
c
y
-
s
en
s
iti
v
e
w
o
r
k
lo
ad
s
.
−
Step
6
.
A
n
al
y
s
is
C
o
llected
d
ata
w
a
s
av
er
ag
ed
an
d
co
m
p
ar
ed
ag
ain
s
t
b
en
ch
m
a
r
k
r
esu
lts
f
r
o
m
liter
atu
r
e.
I
m
p
r
o
v
e
m
e
n
t
s
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er
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l.
3
.
2
.
I
nte
rpre
t
a
t
io
n
o
f
re
s
ults
T
h
e
r
esu
lts
d
e
m
o
n
s
tr
ate
th
a
t
SDN
-
e
n
ab
led
Qo
S
p
r
o
v
id
es
s
ig
n
i
f
ican
t
i
m
p
r
o
v
e
m
en
ts
i
n
n
et
w
o
r
k
s
tab
ilit
y
a
n
d
p
r
ed
ictab
ilit
y
w
i
th
i
n
a
P
r
o
x
m
o
x
VE
en
v
ir
o
n
m
en
t.
Alth
o
u
g
h
r
a
w
t
h
r
o
u
g
h
p
u
t
d
ec
r
ea
s
ed
d
u
e
to
r
ate
-
li
m
iti
n
g
p
o
licies,
t
h
e
r
es
u
lti
n
g
s
tab
ili
t
y
a
lig
n
s
w
it
h
t
h
e
i
n
ten
d
ed
f
u
n
cti
o
n
o
f
Qo
S
,
w
h
ic
h
p
r
io
r
itizes
co
n
s
is
ten
t
p
er
f
o
r
m
a
n
ce
o
v
er
p
ea
k
th
r
o
u
g
h
p
u
t
[1
6
]
.
T
h
e
r
ed
u
ctio
n
i
n
p
ac
k
et
lo
s
s
a
n
d
th
e
s
tab
ilizatio
n
o
f
f
o
r
w
ar
d
i
n
g
r
ates
in
d
icate
th
at
co
n
g
esti
o
n
co
n
tr
o
l
an
d
q
u
eu
e
s
c
h
ed
u
li
n
g
m
ec
h
an
i
s
m
s
w
er
e
f
u
n
ctio
n
in
g
ef
f
ec
tiv
e
l
y
u
n
d
er
SDN
m
a
n
a
g
e
m
en
t,
co
n
s
i
s
te
n
t
w
i
t
h
f
in
d
i
n
g
s
r
ep
o
r
ted
b
y
Ke
s
h
ar
i
et
a
l.
[2
0
]
.
T
h
ese
r
esu
lts
co
n
f
ir
m
th
at
ce
n
tr
alize
d
tr
af
f
i
c
m
a
n
a
g
e
m
en
t
t
h
r
o
u
g
h
OD
L
en
h
a
n
ce
s
t
h
e
r
eliab
ilit
y
o
f
v
ir
tu
alize
d
s
w
itc
h
i
n
g
b
eh
av
io
r
b
y
en
f
o
r
cin
g
d
eter
m
i
n
is
t
ic
b
an
d
w
id
th
allo
ca
tio
n
,
as
also
d
is
cu
s
s
ed
b
y
Se
ze
r
et
a
l.
[
4
]
.
T
h
e
ex
p
er
i
m
en
ta
l
r
esu
lts
co
n
s
i
s
te
n
tl
y
s
h
o
w
th
at
ap
p
l
y
in
g
SDN
-
e
n
ab
led
Qo
S
in
P
r
o
x
m
o
x
VE
i
m
p
r
o
v
es
o
v
er
all
n
et
w
o
r
k
s
tab
ilit
y
co
m
p
ar
ed
to
u
n
m
a
n
ag
ed
co
n
f
i
g
u
r
atio
n
s
.
T
h
r
o
u
g
h
p
u
t
b
ec
a
m
e
s
ig
n
i
f
ica
n
tl
y
m
o
r
e
s
tab
le
af
ter
r
ate
li
m
iti
n
g
w
a
s
en
f
o
r
ce
d
,
p
ac
k
et
lo
s
s
d
ec
r
ea
s
ed
to
b
elo
w
1
%,
a
n
d
f
o
r
w
a
r
d
in
g
r
ates s
h
o
w
ed
m
o
r
e
p
r
ed
ictab
le
b
eh
av
io
r
.
R
ate
-
li
m
iti
n
g
ac
cu
r
ac
y
r
e
m
ai
n
e
d
ab
o
v
e
9
5
%
ac
r
o
s
s
all
s
ce
n
a
r
io
s
,
d
em
o
n
s
tr
ati
n
g
th
e
r
eliab
ilit
y
o
f
OD
L
an
d
O
VS
i
n
ap
p
l
y
i
n
g
tr
af
f
ic
-
s
h
ap
i
n
g
p
o
licies.
As
s
u
m
m
ar
ized
in
T
ab
le
3
,
th
e
SDN
-
Qo
S
co
n
f
i
g
u
r
atio
n
p
r
o
v
id
ed
clea
r
im
p
r
o
v
e
m
e
n
ts
i
n
s
tab
ili
t
y
,
p
r
ed
ictab
ilit
y
,
an
d
co
n
tr
o
lled
r
eso
u
r
ce
u
s
ag
e
ac
r
o
s
s
all
m
ea
s
u
r
ed
p
er
f
o
r
m
an
ce
m
etr
ics.
T
ab
le
3
.
C
o
m
p
ar
ativ
e
a
n
al
y
s
i
s
o
f
n
et
w
o
r
k
p
er
f
o
r
m
a
n
ce
m
etr
i
cs
P
e
r
f
o
r
man
c
e
me
t
r
i
c
U
n
ma
n
a
g
e
d
c
o
n
f
i
g
u
r
a
t
i
o
n
(
ba
se
l
i
n
e
)
S
D
N
-
e
n
a
b
l
e
d
Q
o
S
c
o
n
f
i
g
u
r
a
t
i
o
n
I
mp
r
o
v
e
me
n
t
/
n
o
t
e
s
T
h
r
o
u
g
h
p
u
t
/
s
t
a
b
i
l
i
t
y
H
i
g
h
e
r
r
a
w
b
a
n
d
w
i
d
t
h
L
o
w
e
r
r
a
w
b
a
n
d
w
i
d
t
h
(
r
a
t
e
-
l
i
mi
t
e
d
)
S
t
a
b
i
l
i
t
y
i
n
c
r
e
a
se
d
b
y
~
2
8
%
T
h
r
o
u
g
h
p
u
t
F
l
u
c
t
u
a
t
i
o
n
H
i
g
h
l
y
u
n
st
a
b
l
e
(
1
5
0
M
b
p
s)
H
i
g
h
l
y
st
a
b
l
e
(
f
l
u
c
t
u
a
t
i
o
n
s
e
l
i
mi
n
a
t
e
d
)
F
l
u
c
t
u
a
t
i
o
n
s
e
l
i
mi
n
a
t
e
d
P
a
c
k
e
t
l
o
ss
A
v
e
r
a
g
e
3
%
–
5%
C
o
n
si
s
t
e
n
t
l
y
<
1
%
I
mp
r
o
v
e
me
n
t
o
f
>
7
0
%
F
o
r
w
a
r
d
i
n
g
ra
te
F
l
u
c
t
u
a
t
i
n
g
(
6
0
–
7
5
k
p
p
s)
S
t
a
b
l
e
(
a
r
o
u
n
d
8
0
k
p
p
s)
M
o
r
e
e
f
f
i
c
i
e
n
t
a
n
d
p
r
e
d
i
c
t
a
b
l
e
R
a
t
e
li
m
i
t
i
n
g
A
c
c
u
r
a
c
y
N
o
t
a
p
p
l
i
c
a
b
l
e
(
N
/
A
)
>
9
5
%
(
e
.
g
.
,
6
9
5
.
6
M
b
p
s
o
f
7
0
0
M
b
p
s)
P
o
l
i
c
y
e
n
f
o
r
c
e
me
n
t
i
s
h
i
g
h
l
y
a
c
c
u
r
a
t
e
3
.
3
.
Co
m
pa
ri
s
o
n w
it
h
re
la
t
e
d w
o
rk
T
h
e
o
u
tco
m
e
s
alig
n
w
it
h
s
ev
er
al
s
tu
d
ie
s
in
v
est
ig
at
in
g
SDN
an
d
Qo
S
in
teg
r
at
io
n
in
o
th
er
en
v
ir
o
n
m
e
n
t
s
.
Fo
r
ex
a
m
p
le,
Kr
eu
tz
et
a
l.
[
2
1
]
d
em
o
n
s
tr
ated
th
at
S
DN
en
ab
le
s
d
eter
m
in
i
s
tic
Qo
S
m
an
a
g
e
m
e
n
t
in
d
ata
ce
n
ter
s
,
th
o
u
g
h
th
eir
w
o
r
k
f
o
cu
s
ed
o
n
Op
en
Stack
.
Si
m
i
lar
l
y
,
Ha
m
ad
et
a
l.
[
19
]
i
m
p
le
m
en
ted
b
an
d
w
id
th
-
a
w
ar
e
s
ch
ed
u
li
n
g
i
n
SDN
an
d
ac
h
iev
ed
r
ed
u
ctio
n
s
in
p
ac
k
et
lo
s
s
s
i
m
ilar
to
th
o
s
e
r
ep
o
r
ted
in
th
is
s
tu
d
y
.
C
o
m
p
ar
ed
to
VM
w
ar
e
N
SX,
w
h
i
ch
p
r
o
v
id
es
p
r
o
p
r
ietar
y
Qo
S
m
a
n
ag
e
m
e
n
t
[1
4
]
,
P
r
o
x
m
o
x
w
it
h
OD
L
in
teg
r
ati
o
n
r
ep
r
esen
ts
a
co
s
t
-
ef
f
ec
ti
v
e
an
d
o
p
en
-
s
o
u
r
ce
alter
n
ati
v
e.
P
r
io
r
s
tu
d
ies
b
y
Mo
n
taze
r
o
lg
h
ae
m
an
d
Ya
g
h
m
ae
e
[1
2
]
,
Nu
n
es
e
t
a
l.
[2
2
]
h
av
e
h
i
g
h
l
ig
h
ted
S
DN
’
s
p
r
o
g
r
a
m
m
ab
ilit
y
ad
v
an
ta
g
es,
b
u
t
n
eit
h
er
ex
p
lo
r
ed
Pro
x
m
o
x
VE
.
T
h
is
m
a
k
e
s
th
e
c
u
r
r
en
t
w
o
r
k
o
n
e
o
f
t
h
e
f
ir
s
t
to
p
r
esen
t
a
n
e
m
p
ir
ical
e
v
alu
at
io
n
o
f
SD
N
-
b
ased
Qo
S
in
P
r
o
x
m
o
x
,
a
p
lat
f
o
r
m
p
o
p
u
lar
i
n
ac
ad
e
m
ic
an
d
SME
d
ep
lo
y
m
e
n
t
s
.
Fu
r
t
h
er
m
o
r
e,
Ki
m
an
d
Fea
m
s
ter
[
7
]
em
p
h
a
s
ized
th
e
i
m
p
o
r
tan
ce
o
f
au
to
m
atio
n
i
n
n
et
w
o
r
k
m
an
a
g
e
m
e
n
t
to
r
ed
u
ce
co
n
f
i
g
u
r
atio
n
er
r
o
r
s
,
a
r
esu
lt
ec
h
o
ed
in
th
is
s
tu
d
y
w
h
er
e
Qo
S
en
f
o
r
ce
m
e
n
t
w
a
s
h
a
n
d
led
en
tire
l
y
b
y
t
h
e
co
n
tr
o
ller
r
ath
er
th
a
n
m
a
n
u
a
l
co
n
f
i
g
u
r
atio
n
s
.
C
o
m
p
a
r
e
d
t
o
u
n
m
an
a
g
e
d
v
i
r
t
u
a
l
i
z
at
i
o
n
p
l
at
f
o
r
m
s
,
t
h
e
S
DN
-
e
n
a
b
l
e
d
Pr
o
x
m
o
x
c
o
n
s
i
s
te
n
t
ly
d
e
l
iv
e
r
e
d
m
o
r
e
p
r
e
d
i
c
t
a
b
le
b
a
n
d
w
i
d
t
h
a
ll
o
c
a
t
i
o
n
,
s
h
o
w
in
g
c
l
e
a
r
im
p
r
o
v
em
en
ts
o
v
e
r
s
t
a
t
ic
L
in
u
x
b
r
i
d
g
i
n
g
[2
3
]
.
3
.
4
.
I
m
pli
ca
t
io
ns
f
o
r
clo
ud
a
nd
edg
e
da
t
a
ce
nte
rs
T
h
e
o
u
tco
m
e
s
o
f
th
is
s
tu
d
y
ar
e
co
n
s
is
te
n
t
w
it
h
p
r
ev
io
u
s
r
es
ea
r
ch
o
n
SDN
-
b
ased
Qo
S
m
a
n
ag
e
m
e
n
t.
Seze
r
et
a
l.
[
4
]
d
em
o
n
s
tr
ated
t
h
at
SDN
e
n
ab
les
d
eter
m
i
n
is
t
i
c
an
d
co
n
tr
o
ller
-
d
r
iv
en
b
an
d
wid
th
co
n
tr
o
l
in
d
ata
ce
n
ter
n
et
w
o
r
k
s
,
s
u
p
p
o
r
tin
g
t
h
e
s
tab
ili
t
y
i
m
p
r
o
v
e
m
e
n
ts
o
b
s
er
v
ed
in
th
is
w
o
r
k
.
Si
m
ilar
l
y
,
Ha
m
ad
et
a
l.
[
19
]
r
ep
o
r
ted
s
ig
n
if
ic
an
t
r
ed
u
ct
io
n
s
in
p
ac
k
et
lo
s
s
t
h
r
o
u
g
h
b
an
d
w
id
t
h
-
a
w
ar
e
s
c
h
ed
u
lin
g
m
e
ch
an
i
s
m
s
,
ali
g
n
in
g
w
it
h
t
h
e
p
ac
k
et
lo
s
s
i
m
p
r
o
v
e
m
en
ts
ac
h
ie
v
ed
in
t
h
e
Qo
S
-
e
n
ab
led
P
r
o
x
m
o
x
e
n
v
ir
o
n
m
e
n
t.
C
o
m
p
ar
ed
to
p
r
o
p
r
ietar
y
SD
N
s
o
lu
t
io
n
s
s
u
ch
a
s
VM
w
ar
e
NSX
[1
4
]
t
h
e
i
n
te
g
r
atio
n
o
f
ODL
an
d
OVS
in
P
r
o
x
m
o
x
o
f
f
er
s
a
f
u
l
l
y
o
p
en
-
s
o
u
r
ce
an
d
co
s
t
-
e
f
f
ec
t
iv
e
alter
n
ati
v
e,
w
h
ile
s
till
p
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m
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p
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iii)
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h
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e
rg
ra
d
u
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te
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n
f
o
rm
a
ti
c
s
En
g
in
e
e
rin
g
f
ro
m
S
T
M
IK
A
M
IK
Ba
n
d
u
n
g
,
Ba
n
d
u
n
g
,
In
d
o
n
e
sia
,
w
h
e
re
h
e
is
c
u
rre
n
tl
y
c
o
m
p
letin
g
h
is
f
in
a
l
y
e
a
r
o
f
stu
d
y
.
He
w
a
s
b
o
rn
in
A
p
ril
2
0
0
2
in
Ba
n
d
u
n
g
,
In
d
o
n
e
sia
.
His
u
n
d
e
rg
ra
d
u
a
te
th
e
sis
f
o
c
u
se
s
o
n
s
o
f
twa
re
-
d
e
f
in
e
d
n
e
tw
o
rk
in
g
(S
D
N),
w
it
h
p
a
rti
c
u
lar
e
m
p
h
a
sis
o
n
th
e
i
n
teg
ra
ti
o
n
o
f
S
DN
tec
h
n
o
lo
g
ies
in
to
th
e
P
ro
x
m
o
x
VE
a
n
d
t
h
e
e
v
a
lu
a
ti
o
n
o
f
n
e
tw
o
rk
q
u
a
li
ty
o
f
se
rv
ice
(Qo
S
).
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
v
irt
u
a
li
z
a
ti
o
n
,
c
lo
u
d
c
o
m
p
u
ti
n
g
,
p
ro
g
ra
m
m
a
b
le
n
e
tw
o
rk
s,
a
n
d
d
a
ta
c
e
n
ter
a
rc
h
it
e
c
tu
re
s.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
ri
e
z
k
a
n
a
p
rian
d
a
@g
m
a
il
.
c
o
m
.
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