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n
es
s
ap
p
licatio
n
s
,
etc.
Sin
ce
n
u
m
b
er
s
o
f
co
n
n
ec
ti
n
g
d
ev
ices
ar
e
i
n
cr
ea
s
in
g
d
a
y
b
y
d
a
y
,
th
er
e
f
o
r
e
it
i
s
a
b
ig
c
h
allen
g
e
to
s
o
lv
e
t
h
e
is
s
u
e
s
o
f
t
h
e
r
eso
u
r
c
e
m
an
a
g
e
m
e
n
t
ac
r
o
s
s
t
h
e
n
et
w
o
r
k
s
an
d
also
o
t
h
er
i
m
p
o
r
tan
t
is
s
u
e
is
t
h
e
e
n
er
g
y
co
n
s
u
m
p
tio
n
w
h
ich
s
h
o
u
ld
b
e
m
i
n
i
m
ized
ac
r
o
s
s
t
h
e
n
et
w
o
r
k
s
.
Fo
r
co
n
n
ec
tin
g
t
h
e
d
e
v
ices,
s
tatic
a
n
d
d
y
n
a
m
ic
in
ter
co
n
n
ec
tio
n
tech
n
iq
u
e
s
ar
e
u
s
ed
w
h
ic
h
ar
e
k
n
o
w
n
a
s
t
h
e
to
p
o
lo
g
ies.
I
n
th
e
p
r
ese
n
t
p
ap
er
,
th
e
af
o
r
esaid
t
w
o
p
r
o
b
le
m
s
s
h
all
b
e
s
o
l
v
ed
an
al
y
ticall
y
an
d
cr
itical
o
b
s
er
v
atio
n
s
s
h
all
b
e
r
ep
o
r
ted
.
C
lo
u
d
co
m
p
u
t
in
g
is
d
escr
ib
ed
as
s
h
ar
in
g
o
f
co
m
p
u
ti
n
g
r
eso
u
r
ce
s
ac
r
o
s
s
th
e
n
et
w
o
r
k
s
w
i
t
h
d
if
f
er
en
t
co
n
f
i
g
u
r
atio
n
s
o
f
s
er
v
er
s
,
s
to
r
ag
e
m
ed
ia,
m
ed
ia
f
ile
s
,
etc
.
an
d
ap
p
licatio
n
s
o
n
d
e
m
an
d
ar
e
d
eliv
er
ed
to
th
e
d
if
f
er
e
n
t
o
r
g
an
izatio
n
s
.
T
h
e
clo
u
d
s
m
a
y
b
e
p
r
iv
ate,
p
u
b
li
c
an
d
h
y
b
r
id
an
d
co
n
s
is
t
s
o
f
th
e
v
ar
io
u
s
la
y
er
s
n
a
m
e
l
y
So
f
t
w
ar
e
as
a
Ser
v
ice
(
SaaS)
la
y
er
,
P
latf
o
r
m
as
a
Ser
v
ice
(
P
aa
S)
la
y
er
,
I
n
f
r
astr
u
ctu
r
e
a
s
a
Se
r
v
ice
(
I
aa
S)
lay
er
an
d
d
ata
Sto
r
ag
e
as
a
Ser
v
ice
(
d
SaaS)
lay
er
f
o
r
i
m
p
le
m
en
t
in
g
th
e
s
er
v
ices
to
th
e
u
s
er
s
.
T
h
er
e
ar
e
n
u
m
b
er
o
f
ch
al
len
g
es o
n
ea
ch
o
f
th
e
ab
o
v
e
la
y
er
s
an
d
s
o
m
e
o
f
th
e
c
h
alle
n
g
e
s
ar
e
g
i
v
en
b
el
o
w
:
a.
C
o
n
f
id
en
tia
lit
y
o
f
in
f
o
r
m
at
io
n
s
h
o
u
ld
b
e
m
ain
t
a
in
ed
an
d
in
f
o
r
m
atio
n
s
h
o
u
ld
b
e
s
h
ar
ed
am
o
n
g
t
h
e
p
r
iv
ileg
ed
u
s
er
s
an
d
n
o
t to
ir
r
elev
an
t u
s
er
s
;
b.
I
f
an
y
d
is
aster
o
cc
u
r
s
t
h
e
n
clo
u
d
p
r
o
v
id
er
s
h
o
u
ld
r
ec
o
v
er
in
f
o
r
m
at
io
n
t
h
r
o
u
g
h
e
f
f
ic
ien
t
m
e
ch
an
i
s
m
;
c.
T
h
e
d
ata
ar
e
s
eg
r
eg
ated
in
s
u
ch
a
m
a
n
n
er
s
o
th
a
t
o
n
e
i
n
s
ta
n
ce
o
f
i
n
f
o
r
m
atio
n
s
h
o
u
ld
b
e
d
if
f
er
e
n
t
f
r
o
m
o
th
er
o
n
e;
d.
R
eso
u
r
ce
m
an
a
g
e
m
en
t
f
o
r
ex
e
cu
tio
n
o
f
ap
p
licatio
n
s
o
n
d
e
m
an
d
is
a
b
ig
ch
allen
g
e
f
o
r
g
ett
in
g
t
h
e
r
esu
lts
w
it
h
i
n
m
in
i
m
u
m
ti
m
e.
e.
Sin
ce
all
th
e
d
ev
ice
s
co
n
n
ec
t
ed
ac
r
o
s
s
n
et
w
o
r
k
s
esp
ec
iall
y
f
o
r
clo
u
d
s
er
v
er
s
y
s
te
m
s
,
t
h
e
r
ef
o
r
e
it
i
s
b
i
g
ch
alle
n
g
e
to
m
i
n
i
m
ize
t
h
e
e
n
e
r
g
y
u
s
ed
w
h
ic
h
is
k
n
o
w
n
a
s
r
u
n
ti
m
e
en
er
g
y
co
n
s
u
m
p
t
io
n
a
cr
o
s
s
n
et
w
o
r
k
s
an
d
b
ased
o
n
th
e
w
o
r
k
lo
ad
;
f.
Secu
r
e
v
ir
t
u
aliza
tio
n
is
an
o
t
h
er
k
in
d
o
f
p
r
o
b
lem
s
f
o
r
m
o
n
i
to
r
in
g
v
ir
tu
al
m
ac
h
in
e
s
(
VM
s
)
an
d
it
allo
w
s
ea
s
ier
m
a
n
ag
e
m
e
n
t o
f
s
ec
u
r
it
y
o
r
co
m
p
lex
cl
u
s
ter
o
f
s
er
v
er
s
;
g.
W
h
en
t
h
e
s
er
v
er
is
i
n
s
leep
m
o
d
e
th
en
en
er
g
y
g
ai
n
is
to
b
e
s
tu
d
ied
an
d
it
is
a
b
i
g
ch
alle
n
g
e
to
w
a
k
e
u
p
th
e
s
leep
m
o
d
e
i
n
th
e
co
m
p
le
x
clu
s
ter
s
o
f
clo
u
d
s
.
h.
T
h
e
clo
u
d
p
r
o
v
id
er
s
s
h
o
u
ld
r
e
co
r
d
u
s
ag
e
s
o
f
d
ata
b
y
u
s
er
s
i
n
e
f
f
icien
t
m
an
n
er
h
o
w
ev
er
,
u
s
er
s
ca
n
u
s
e
t
h
e
clo
u
d
s
as
a
s
er
v
ice
f
o
r
i
n
f
o
r
m
atio
n
s
h
ar
in
g
,
r
eso
u
r
ce
s
h
ar
in
g
,
f
iles
s
h
ar
in
g
,
a
u
d
io
an
d
v
id
eo
s
h
ar
in
g
,
d
atab
ase
s
to
r
ag
e,
co
llab
o
r
ativ
e
r
esear
ch
w
o
r
k
,
ac
ce
s
s
in
g
o
f
d
ig
ital
lib
r
ar
ies,
class
r
o
o
m
s
,
I
n
s
titu
tio
n
s
,
h
o
s
p
itals
,
etc.
2.
RE
L
AT
E
D
WO
RK
T
h
e
p
r
o
p
o
s
ed
p
r
o
b
lem
s
co
n
s
i
s
t
o
f
t
h
e
t
w
o
p
ar
ts
o
n
e
i
s
t
h
e
m
o
d
eli
n
g
a
n
d
o
t
h
er
is
t
h
e
co
m
p
u
tat
io
n
o
f
ex
ten
s
i
v
e
r
esu
lts
f
o
r
m
i
n
i
m
i
za
tio
n
o
f
e
n
er
g
y
co
n
s
u
m
p
ti
o
n
an
d
r
eso
u
r
ce
m
a
n
a
g
e
m
e
n
t.
Ob
j
ec
t
-
o
r
ien
ted
m
o
d
eli
n
g
ap
p
r
o
ac
h
w
as
i
n
v
en
ted
b
y
th
e
Gr
ee
d
y
B
o
o
ch
[
1
]
,
v
ar
io
u
s
d
ia
g
r
a
m
s
ar
e
p
r
o
p
o
s
ed
b
y
B
o
o
ch
et
al.
[
2
]
an
d
v
er
s
io
n
s
o
f
UM
L
ar
e
r
elea
s
ed
b
y
an
ac
ti
v
e
O
b
j
ec
t M
an
a
g
e
m
e
n
t
Gr
o
u
p
(
OM
G)
[
3
]
,
[
4
]
.
T
h
e
d
if
f
er
e
n
t to
o
ls
ar
e
av
ailab
le
f
o
r
th
e
d
esig
n
s
wh
ich
ar
e
b
ased
o
n
th
e
co
n
ce
p
ts
g
iv
e
n
b
y
th
e
Gr
ee
d
y
B
o
o
ch
,
e
t
al.
T
h
e
n
a
m
es
o
f
to
o
ls
ar
e
R
atio
n
al
R
o
s
e,
S
m
a
r
t
Dr
a
w
,
E
-
Dr
a
w
,
M
s
-
Vis
io
,
etc.
I
n
th
e
p
r
o
p
o
s
ed
r
esear
ch
w
o
r
k
,
a
n
y
o
n
e
s
aid
to
o
l sh
all
b
e
u
s
ed
f
o
r
m
o
d
elin
g
o
f
p
r
o
b
lem
s
.
I
n
2
0
0
2
,
P
llan
a
an
d
Fah
r
i
n
g
er
[
5
]
,
[
6
]
u
s
ed
th
e
UM
L
f
o
r
o
b
tain
in
g
t
h
e
p
er
f
o
r
m
an
ce
o
f
t
h
e
p
ar
allel
an
d
d
is
tr
ib
u
ted
ar
ch
itect
u
r
e
p
r
o
b
lem
s
.
Sax
e
n
a
a
n
d
A
r
o
r
a
[
7
]
also
u
s
ed
t
h
e
UM
L
f
o
r
f
in
d
i
n
g
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
o
b
j
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
in
g
la
n
g
u
a
g
es.
P
o
o
ley
an
d
Kin
g
[
8
]
h
av
e
u
s
ed
t
h
e
o
b
j
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
mmi
n
g
lan
g
u
ag
e
f
o
r
s
o
lu
tio
n
o
f
en
g
i
n
ee
r
in
g
p
r
o
b
lem
s
.
Go
m
m
a
[
9
]
d
escr
ib
ed
c
o
n
cu
r
r
en
t,
d
is
tr
ib
u
ted
an
d
r
ea
l
ti
m
e
s
y
s
te
m
s
b
y
t
h
e
u
s
e
o
f
Un
i
f
ied
Mo
d
elin
g
L
a
n
g
u
ag
e.
Fro
m
th
e
r
ev
ie
w
o
f
liter
at
u
r
e,
it
is
o
b
s
er
v
ed
th
at
m
a
n
y
o
f
Scie
n
ti
s
ts
an
d
E
n
g
i
n
ee
r
s
h
a
v
e
u
s
ed
th
e
U
M
L
i
n
th
e
n
e
t
w
o
r
k
i
n
g
f
ield
als
o
.
Z
h
a
n
g
et
al.
[
1
0
]
co
m
p
u
ted
th
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
n
et
w
o
r
k
to
p
o
lo
g
ies
f
o
r
ag
en
t
b
ased
o
p
en
co
n
n
ec
ti
v
it
y
ar
ch
itect
u
r
e
f
o
r
th
e
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
te
m
an
d
t
h
e
y
u
s
ed
th
e
U
ML
f
o
r
co
m
p
u
t
in
g
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
n
et
w
o
r
k
to
p
o
lo
g
ies.
UM
L
is
also
u
s
ed
f
o
r
o
b
s
er
v
in
g
n
et
w
o
r
k
p
er
f
o
r
m
a
n
ce
b
y
tr
af
f
ic
r
ed
u
ctio
n
an
d
lo
ad
s
ar
e
a
ls
o
s
h
ar
ed
f
o
r
th
e
d
is
tr
ib
u
ted
s
y
s
te
m
s
[
1
1
]
,
[
1
2
]
.
T
h
e
co
m
p
lex
it
y
o
f
th
e
n
et
w
o
r
k
is
b
ased
u
p
o
n
t
h
e
h
eter
o
g
en
eo
u
s
k
i
n
d
s
o
f
to
p
o
lo
g
ical
s
tr
u
ctu
r
e
o
f
n
et
w
o
r
k
an
d
h
eter
o
g
e
n
e
o
u
s
d
ev
ices
w
h
ic
h
ar
e
in
ter
co
n
n
ec
ted
ac
r
o
s
s
d
is
tr
ib
u
ted
n
e
t
wo
r
k
s
w
h
ic
h
ca
n
b
e
f
u
r
t
h
er
en
h
a
n
ce
d
to
w
ar
d
s
th
e
clo
u
d
n
et
w
o
r
k
s
.
T
h
er
e
ar
e
n
u
m
b
er
s
o
f
f
ac
to
r
s
w
h
ic
h
m
a
y
v
ar
y
f
r
o
m
o
n
e
d
ev
ic
e
to
an
o
th
er
d
ev
ice
an
d
p
r
o
d
u
c
es
ef
f
ec
ts
o
n
th
e
e
n
er
g
y
p
r
o
d
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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8
8
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8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
201
8
:
3
4
4
–
3
5
4
346
ar
e
ex
p
lain
ed
b
y
Sh
i
n
et
al.
[
1
3
]
.
Yan
g
et
al.
[
1
4
]
h
av
e
ex
p
lain
ed
co
n
s
u
m
p
tio
n
o
f
en
er
g
y
u
ti
lized
at
th
e
r
u
n
ti
m
e
w
it
h
s
c
h
ed
u
li
n
g
tech
n
iq
u
es
f
o
r
em
b
ed
d
ed
m
icr
o
p
r
o
c
ess
o
r
.
Mo
d
elin
g
is
also
p
r
o
p
o
s
ed
f
o
r
s
av
in
g
th
e
d
y
n
a
m
ic
v
o
lta
g
e
an
d
f
o
r
th
i
s
p
u
r
p
o
s
e
s
tatis
tical
tec
h
n
iq
u
es
ar
e
u
s
ed
b
y
t
h
e
au
t
h
o
r
s
[
1
5
]
.
C
o
n
ce
p
ts
o
f
g
r
ap
h
th
eo
r
y
[
1
6
]
,
[
1
7
]
a
r
e
u
s
ed
f
o
r
s
ch
ed
u
l
in
g
o
f
p
o
w
er
co
n
s
u
m
p
tio
n
f
o
r
th
e
r
ea
l
t
i
m
e
ap
p
l
icatio
n
s
ac
r
o
s
s
th
e
d
is
tr
ib
u
ted
n
et
w
o
r
k
.
D
y
n
a
m
i
c
task
s
ar
e
also
s
c
h
ed
u
led
t
h
r
o
u
g
h
al
g
o
r
ith
m
s
f
o
r
o
p
ti
m
i
za
tio
n
o
f
u
s
a
g
e
o
f
v
o
ltag
e
[
1
8
]
,
[
1
9
]
.
I
n
I
n
d
ia
o
r
ab
r
o
ad
,
telec
o
m
m
u
n
ica
tio
n
n
et
w
o
r
k
i
s
v
a
s
t
n
et
w
o
r
k
a
n
d
s
u
f
f
icie
n
t
li
ter
atu
r
e
is
av
ailab
le
o
n
th
i
s
k
i
n
d
o
f
n
e
t
w
o
r
k
b
u
t sa
v
in
g
t
h
e
en
er
g
y
i
s
t
h
e
k
e
y
is
s
u
e
w
h
ic
h
h
as b
ee
n
p
r
o
p
o
s
ed
b
y
th
e
v
ar
io
u
s
a
u
th
o
r
s
[
2
0
-
2
2
]
.
R
o
u
tin
g
tec
h
n
iq
u
es
p
lay
a
n
i
m
p
o
r
ta
n
t
r
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le
in
th
e
p
o
w
er
co
n
s
u
m
p
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io
n
o
n
t
h
e
n
et
w
o
r
k
,
C
h
ab
ar
ek
et
al.
[
2
3
]
h
av
e
ex
p
lai
n
e
d
a
n
et
w
o
r
k
d
esi
g
n
a
n
d
r
o
u
tin
g
t
ec
h
n
iq
u
e
f
o
r
s
a
v
in
g
t
h
e
co
n
s
u
m
ed
p
o
w
er
b
y
t
h
e
d
ev
ices.
T
h
er
e
ar
e
n
u
m
b
er
s
o
f
o
p
en
c
h
alle
n
g
e
s
f
o
r
i
m
p
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v
i
n
g
th
e
e
n
er
g
y
e
f
f
icie
n
c
y
ac
r
o
s
s
th
e
n
et
w
o
r
k
[
2
4
]
.
On
e
o
f
t
h
e
ch
a
llen
g
es i
s
to
o
p
ti
m
ize
t
h
e
p
o
w
er
ac
r
o
s
s
f
ib
r
e
o
p
tics
n
et
w
o
r
k
s
[
2
5
]
w
h
i
le
an
o
t
h
er
o
n
th
e
w
ir
ele
s
s
n
et
w
o
r
k
i
n
w
h
ic
h
n
u
m
b
er
s
o
f
w
ir
ele
s
s
d
e
v
ices
ar
e
co
n
s
u
m
i
n
g
th
e
e
n
er
g
y
[
2
6
]
.
E
n
er
g
y
s
a
v
in
g
tec
h
n
iq
u
e
f
o
r
f
lo
w
b
ased
r
o
u
tin
g
i
s
w
ell
e
x
p
lain
ed
b
y
[
2
7
]
.
L
o
o
p
f
r
ee
r
o
u
t
in
g
tech
n
iq
u
e
is
u
s
ed
b
y
L
ee
e
t
al.
[
2
8
]
to
u
p
d
ate
t
h
e
lin
k
s
tate
r
o
u
ti
n
g
tec
h
n
iq
u
e
f
o
r
s
av
in
g
th
e
en
er
g
y
ac
r
o
s
s
n
et
w
o
r
k
s
.
P
ar
alleliza
tio
n
o
f
task
s
m
a
y
s
a
v
e
th
e
co
n
s
u
m
ed
en
er
g
y
d
u
r
in
g
t
h
e
ex
ec
u
t
io
n
o
f
ta
s
k
s
[
2
9
]
.
T
h
e
co
n
ce
p
t
o
f
g
a
m
e
t
h
eo
r
y
i
s
also
u
s
ed
f
o
r
o
p
tim
izin
g
t
h
e
e
n
er
g
y
co
n
s
u
m
p
tio
n
a
n
d
m
i
n
i
m
izi
n
g
th
e
r
esp
o
n
s
e
ti
m
e
ac
r
o
s
s
t
h
e
co
m
p
u
tatio
n
a
l g
r
id
n
et
w
o
r
k
s
[
3
0
]
.
C
h
iar
a
v
i
g
lio
et
al.
[
3
1
]
h
av
e
p
r
o
p
o
s
ed
a
tech
n
iq
u
e
f
o
r
o
p
ti
m
izi
n
g
t
h
e
e
n
er
g
y
co
s
t
f
o
r
th
e
I
n
ter
n
et
Ser
v
ice
P
r
o
v
i
d
er
(
I
SP
)
n
et
w
o
r
k
.
Sh
o
r
tes
t p
ath
tec
h
n
iq
u
e
f
o
r
th
e
I
n
ter
n
et
P
r
o
to
co
l
(
I
P
)
tr
af
f
ic
i
s
u
s
ed
f
o
r
o
p
ti
m
izi
n
g
t
h
e
e
n
er
g
y
p
at
h
s
[
3
2
]
.
Valid
atio
n
o
f
e
x
ec
u
t
io
n
o
f
ta
s
k
o
n
s
tep
n
et
w
o
r
k
h
a
s
b
ee
n
d
o
n
e
b
y
Z
aid
i
an
d
s
ax
e
n
a
[
3
3
]
.
R
elia
b
le
m
et
h
o
d
to
co
m
p
ar
e
t
h
e
p
er
f
o
r
m
an
ce
o
f
clo
u
d
s
er
v
ices
h
as
b
ee
n
d
o
n
e
b
y
A
l
h
a
m
ad
et
al.
[
3
4
]
an
d
d
i
f
f
er
en
t
t
y
p
e
s
o
f
m
et
r
ics
ar
e
g
en
er
ated
an
d
a
m
et
h
o
d
o
lo
g
y
is
p
r
o
p
o
s
ed
to
m
ea
s
u
r
e
th
e
e
x
p
an
d
ab
ilit
y
o
f
clo
u
d
s
er
v
ices
a
n
d
co
m
p
ar
is
o
n
o
f
clo
u
d
p
r
o
v
id
er
s
w
it
h
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
h
as b
ee
n
d
o
n
e.
Ag
r
aj
[
3
5
]
h
as
p
r
o
p
o
s
ed
an
alg
o
r
ith
m
f
o
r
lo
ad
b
alan
cin
g
o
f
clo
u
d
b
y
co
n
s
id
er
in
g
r
esp
o
n
s
e
ti
m
e
o
f
ev
er
y
r
eq
u
e
s
t
an
d
o
n
th
e
b
a
s
is
o
f
r
esp
o
n
s
e
ti
m
e
n
ex
t
a
llo
ca
tio
n
is
d
o
n
e,
t
h
i
s
ap
p
r
o
ac
h
r
ed
u
ce
s
th
e
e
x
tr
a
co
m
p
u
tatio
n
lo
s
s
o
n
s
er
v
er
.
C
h
itra
D.
a
n
d
R
h
y
m
en
d
[
3
6
]
p
r
o
p
o
s
ed
a
s
ch
ed
u
li
n
g
a
n
d
lo
ad
b
alan
cin
g
al
g
o
r
it
h
m
f
o
r
ev
al
u
ati
n
g
t
h
e
ca
p
ab
ilit
ies
o
f
v
ir
tu
a
l
m
ac
h
i
n
e
s
a
n
d
also
in
ter
d
ep
en
d
en
c
y
o
f
m
u
l
tip
le
t
ask
s
is
an
al
y
ze
d
a
s
w
ell
as
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
co
m
p
ar
ed
w
it
h
e
x
is
tin
g
m
et
h
o
d
s
.
T
y
n
g
-
Ye
u
J
ie
L
i
[
3
7
]
p
r
o
p
o
s
e
d
an
al
g
o
r
ith
m
b
ased
o
n
K
-
Me
an
s
f
o
r
C
lo
u
d
l
ets a
n
d
p
er
f
o
r
m
a
n
ce
o
f
al
g
o
r
ith
m
s
h
o
w
s
th
a
t t
h
is
a
lg
o
r
it
h
m
r
ed
u
ce
s
t
h
e
n
et
w
o
r
k
laten
c
y
as
w
ell
as
n
u
m
b
er
o
f
s
er
v
ice
i
n
s
tan
ce
s
to
to
ler
ate
n
et
w
o
r
k
late
n
c
y
.
D
y
n
a
m
ic
T
i
m
e
Sli
ce
C
a
lcu
la
tio
n
f
o
r
R
o
u
n
d
R
o
b
in
P
r
o
ce
s
s
Sch
ed
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lin
g
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s
i
n
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f
i
n
e
t
u
n
in
g
ti
m
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s
lici
n
g
o
f
p
r
o
ce
s
s
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w
h
ic
h
d
id
n
'
t
co
m
p
leted
i
n
allo
tted
ti
m
e
s
l
o
t
w
a
s
w
ell
e
x
p
lain
ed
th
r
o
u
g
h
a
n
e
w
m
et
h
o
d
p
r
o
p
o
s
ed
in
[
3
8
]
.
E
x
p
er
i
m
en
ts
o
n
clo
u
d
s
i
m
to
o
lk
it
h
as
b
ee
n
d
e
m
o
n
s
tr
ated
b
y
Gib
et
a
n
d
Am
r
an
i
[
3
9
]
,
as
w
ell
as
t
w
o
n
e
w
s
c
h
ed
u
li
n
g
s
tr
ateg
ie
s
h
as
b
ee
n
p
r
o
p
o
s
ed
th
at
d
ep
icts
th
e
s
tr
e
n
g
th
a
n
d
w
ea
k
n
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s
o
f
s
c
h
ed
u
lin
g
alg
o
r
it
h
m
s
.
T
h
e
p
r
esen
t
p
ap
er
is
b
ased
u
p
o
n
th
e
a
n
al
y
tical
s
t
u
d
y
o
n
b
eh
av
io
r
o
f
clo
u
d
s
er
v
er
s
w
h
ic
h
s
h
all
b
e
in
ter
co
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ec
ted
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Ma
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en
s
io
n
s
f
o
r
f
u
t
u
r
e
r
esear
ch
i
n
clo
u
d
co
m
p
u
t
in
g
.
T
h
e
cu
r
r
en
t
p
ap
er
e
m
p
h
asized
o
n
m
ap
p
in
g
b
et
w
ee
n
clo
u
d
let
to
VM
to
b
alan
ce
th
e
w
o
r
k
lo
ad
an
d
s
ch
ed
u
li
n
g
o
f
w
o
r
k
lo
ad
o
n
R
o
u
n
d
r
o
b
in
allo
ca
tio
n
p
o
licy
.
T
h
e
p
r
esen
t
w
o
r
k
f
o
cu
s
es
o
n
tas
k
b
in
d
in
g
to
VM
f
o
r
p
r
o
v
id
in
g
h
ig
h
s
p
ee
d
o
r
less
ex
ec
u
tio
n
ti
m
e
t
o
t
h
e
tas
k
s
.
T
h
e
u
s
er
b
ase
tr
af
f
ic
is
r
o
u
ted
b
y
d
atac
en
ter
u
s
i
n
g
s
er
v
ice
p
r
o
x
i
m
it
y
p
o
lic
y
an
d
i
t
s
e
lects
clo
s
est
d
ata
ce
n
te
r
h
av
i
n
g
lo
w
es
t
n
et
w
o
r
k
d
ela
y
.
Si
m
u
lat
io
n
r
es
u
lt
s
d
ep
ict
th
e
r
eg
io
n
s
w
it
h
r
esp
o
n
s
e
to
ti
m
e
r
esu
lt
s
.
R
eq
u
est
s
er
v
ici
n
g
t
i
m
e
f
o
r
d
ata
c
en
ter
s
an
d
co
s
t d
etails r
ep
r
esen
ted
i
n
T
ab
les.
3.
UM
L
M
O
DE
L
I
N
G
T
h
e
s
y
s
te
m
atic
ac
ce
s
s
i
n
g
o
f
th
e
NKN
clo
u
d
s
is
also
r
ep
r
esen
ted
in
th
e
F
ig
u
r
e
1
.
I
n
th
is
f
i
g
u
r
e
u
s
er
is
w
ell
co
n
n
ec
ted
t
h
r
o
u
g
h
th
e
v
ar
io
u
s
Vir
t
u
al
L
o
ca
l
A
r
ea
Ne
t
w
o
r
k
(
V
L
A
N)
s
y
s
te
m
.
A
U
ML
cla
s
s
m
o
d
el
i
s
d
esig
n
ed
f
o
r
co
m
p
u
tat
io
n
o
f
en
er
g
y
co
n
s
u
m
p
tio
n
a
n
d
f
o
r
ac
ce
s
s
i
n
g
t
h
e
cl
o
u
d
s
er
v
er
s
a
n
d
r
ep
r
esen
ted
i
n
F
ig
u
r
e
2
.
I
n
th
is
ca
s
e
th
e
clo
u
d
s
er
v
er
s
ar
e
ar
r
an
g
ed
th
r
o
u
g
h
s
tep
n
et
w
o
r
k
an
d
in
I
n
d
ia
t
h
e
p
r
o
j
ec
t
is
in
itiated
b
y
t
h
e
g
o
v
er
n
m
e
n
t o
f
I
n
d
ia
to
estab
lis
h
n
atio
n
w
id
e
n
e
t
w
o
r
k
ca
lled
as a
Natio
n
al
K
n
o
w
led
g
e
Net
w
o
r
k
(
NK
N)
.
T
h
e
m
ai
n
p
u
r
p
o
s
e
is
to
co
n
n
ec
t
all
t
h
e
h
i
g
h
er
ed
u
ca
tio
n
al
I
n
s
tit
u
tio
n
s
,
p
ath
o
lo
g
ical
l
ab
s
,
r
esear
ch
lab
s
,
s
h
ar
i
n
g
o
f
d
i
g
ital l
ib
r
ar
ies,
v
ir
t
u
al
cla
s
s
es,
e
tc.
Fo
r
r
ep
r
esen
ti
n
g
th
e
s
tatic
b
eh
a
v
io
r
o
f
t
h
e
p
r
o
b
lem
,
U
M
L
clas
s
f
o
r
ac
ce
s
s
i
n
g
t
h
e
NKN
clo
u
d
s
is
s
h
o
w
n
b
elo
w
i
n
Fi
g
u
r
e
1
w
h
ic
h
co
n
s
is
t
s
o
f
th
ir
tee
n
m
aj
o
r
class
es.
Ma
n
y
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:
2088
-
8708
V
ir
tu
a
l Ma
ch
in
e
A
llo
ca
tio
n
P
o
licy
in
C
lo
u
d
C
o
mp
u
tin
g
E
n
v
ir
o
n
men
t U
s
in
g
C
lo
u
d
S
im
(
Ta
s
ke
en
Za
id
i
)
347
u
s
er
s
h
a
v
e
t
h
e
co
m
p
u
ter
s
y
s
te
m
s
o
r
h
an
d
-
h
eld
d
ev
ice
s
co
n
n
ec
ted
ac
r
o
s
s
th
e
d
is
tr
ib
u
t
ed
n
et
w
o
r
k
s
.
T
h
e
co
m
m
u
n
icatio
n
n
et
w
o
r
k
s
ar
e
w
e
ll
co
n
n
ec
ted
t
h
r
o
u
g
h
s
witch
b
y
m
ea
n
s
o
f
to
p
o
lo
g
y
.
T
h
is
is
s
h
o
w
n
b
y
co
n
s
id
er
in
g
th
e
f
iv
e
clas
s
es
c
a
lled
as
USER,
C
OM
P
UT
E
R
_
SYST
E
M,
C
OM
MU
NI
C
A
T
I
ON_
NE
T
W
OR
K,
SW
I
T
C
H
an
d
T
OP
OL
OGY.
Mu
ltip
le
s
w
itc
h
es
ar
e
w
ell
co
n
n
ec
ted
to
th
e
r
o
u
ter
w
h
ich
is
co
n
tr
o
lled
b
y
m
an
y
s
er
v
er
s
tak
e
n
as
a
clo
u
d
s
er
v
er
s
.
T
h
e
s
er
v
er
s
co
n
s
u
m
ed
th
e
s
tatic
an
d
d
y
n
a
m
ic
en
er
g
y
r
ep
r
esen
ted
b
y
t
w
o
class
es
ca
lled
as
ST
A
T
E
_
E
N
E
R
GY_
C
ON
SUMP
T
I
ON
an
d
DYN
A
MI
C
_
E
NE
R
G
Y
_
C
O
NSUMP
T
I
ON.
T
h
e
clo
u
d
s
er
v
er
s
ar
e
co
n
n
ec
ted
t
o
th
e
s
tep
n
et
w
o
r
k
co
n
tr
o
lled
b
y
ST
E
P_
NE
T
W
OR
K
clas
s
an
d
r
eso
u
r
ce
s
ar
e
co
n
tr
o
lled
b
y
R
E
SOU
R
C
E
S
class
.
T
h
e
NK
N
clo
u
d
s
ar
e
p
r
o
v
id
ed
b
y
t
h
e
s
er
v
ice
p
r
o
v
id
e
r
co
n
tr
o
lled
b
y
t
h
e
SERVICE_
P
R
OVI
DE
R
cla
s
s
.
I
n
I
n
d
ia,
t
h
e
s
er
v
ice
p
r
o
v
id
er
is
t
h
e
Natio
n
a
l
I
n
f
o
r
m
a
tic
C
en
tr
e
(
NI
C
)
,
Ne
w
Delh
i.
Fig
u
r
e
1
.
A
cc
es
s
i
n
g
o
f
clo
u
d
s
er
v
er
s
b
y
u
s
er
s
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.
8
,
No
.
1
,
Feb
r
u
ar
y
201
8
:
3
4
4
–
3
5
4
348
Fig
u
r
e
2
.
UM
L
clas
s
m
o
d
el
f
o
r
en
er
g
y
co
n
s
u
m
p
tio
n
an
d
ac
c
ess
i
n
g
N
KN
o
f
clo
u
d
s
er
v
er
s
4.
M
E
T
H
O
DO
L
O
G
Y
T
h
e
Fig
u
r
e
1
s
h
o
w
s
a
m
o
d
el
f
o
r
cr
ea
tio
n
o
f
th
e
clo
u
d
s
f
o
r
th
e
v
ar
io
u
s
k
i
n
d
s
o
f
s
er
v
ice
s
attac
h
ed
d
y
n
a
m
icall
y
t
h
r
o
u
g
h
s
tep
n
et
w
o
r
k
.
On
e
s
h
o
u
ld
m
ea
s
u
r
e
th
e
e
n
er
g
y
e
f
f
ic
ien
c
y
o
f
d
ev
ices
r
eg
u
lar
l
y
e.
g
.
h
o
u
r
l
y
,
d
ail
y
,
m
o
n
th
l
y
o
r
co
n
tin
u
o
u
s
l
y
.
T
h
e
co
n
tin
u
o
u
s
m
ea
s
u
r
e
m
en
t
o
f
en
er
g
y
ef
f
ic
ien
c
y
o
f
th
e
d
ev
ices
ca
n
h
elp
to
d
etec
t th
e
f
o
llo
w
i
n
g
p
a
tter
n
s
:
a.
L
ac
k
o
f
f
u
ll
u
til
izatio
n
o
f
e
n
er
g
y
ex
p
r
ess
ed
i
n
k
ilo
w
att
s
p
er
u
s
er
p
er
d
a
y
(
k
w
h
/u
r
/d
)
w
h
ich
s
h
o
w
s
t
h
at
t
h
e
f
u
ll
u
tili
za
tio
n
o
f
clo
u
d
s
er
v
e
r
s
ar
e
n
o
t
d
o
n
e
a
n
d
a
lo
ts
o
f
s
p
ac
e
ar
e
av
ailab
le
f
o
r
th
e
u
ti
lizatio
n
o
f
t
h
e
r
eso
u
r
ce
s
.
b.
E
n
er
g
y
e
f
f
icie
n
c
y
in
cr
ea
s
ed
wh
en
o
n
e
i
s
u
p
g
r
ad
in
g
ac
r
o
s
s
t
h
e
clo
u
d
s
er
v
er
s
a
n
d
it
is
co
m
p
u
ted
in
ter
m
s
o
f
k
ilo
w
att
s
p
er
ter
a
b
y
te
s
(
k
wh
/tb
)
.
c.
I
f
p
r
o
p
er
co
o
lin
g
i
s
n
o
t
a
v
aila
b
le
at
th
e
w
o
r
k
p
lace
w
h
er
e
t
h
e
s
er
v
er
s
ar
e
in
s
talled
t
h
e
n
c
o
n
s
u
m
p
tio
n
o
f
en
er
g
y
is
m
o
r
e
a
n
d
co
m
p
u
ted
in
ter
m
s
o
f
k
ilo
w
atts
p
er
d
a
y
(
k
w
h
/d
)
.
On
t
h
e
b
asis
o
f
ab
o
v
e,
elec
tr
ic
it
y
ca
n
b
e
co
n
s
u
m
ed
in
t
h
e
f
o
llo
w
i
n
g
ca
s
es:
a.
Of
f
ices o
f
Or
g
a
n
izatio
n
;
b.
R
esear
c
h
L
ab
o
r
ato
r
ies;
c.
Au
d
io
Vis
u
al
E
n
ter
tai
n
m
e
n
t;
d.
Data
C
en
tr
es;
e.
Dig
ital
L
ib
r
ar
ies;
f.
Su
p
er
C
o
m
p
u
ti
n
g
.
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:
2088
-
8708
V
ir
tu
a
l Ma
ch
in
e
A
llo
ca
tio
n
P
o
licy
in
C
lo
u
d
C
o
mp
u
tin
g
E
n
v
ir
o
n
men
t U
s
in
g
C
lo
u
d
S
im
(
Ta
s
ke
en
Za
id
i
)
349
No
w
let
u
s
co
n
s
id
er
v
o
lta
g
e
o
n
th
e
v
o
lta
g
e
li
n
es
v
k
(
t)
,
w
h
er
e
t
is
th
e
ti
m
e
a
n
d
th
ese
d
r
a
w
th
e
cu
r
r
en
t
i
k
(
t)
,
th
e
p
o
w
er
is
d
ef
i
n
ed
f
o
r
t
h
e
lin
e
s
is
p
k
(
t)
=v
k
(
t)
*
i
k
(
t)
(
1
)
No
w
co
n
s
id
er
M
Dir
ec
t
C
u
r
r
en
t
(
D
C
)
o
u
tp
u
t
li
n
es
ar
e
a
v
ailab
le
w
ith
N
v
o
ltag
e
li
n
es,
th
e
n
to
tal
p
o
w
er
is
d
eliv
er
ed
b
et
w
ee
n
ti
m
e
t
1
to
t
2
[
3
4
]
2
1
00
()
j
t
M
N
D
C
k
jk
t
E
p
t
d
t
(2
)
T
h
e
ab
o
v
e
en
er
g
y
i
s
t
h
e
en
er
g
y
co
n
s
u
m
ed
b
y
th
e
s
y
s
te
m
d
e
n
o
ted
b
y
E
=E
DC
w
i
th
s
u
m
o
f
t
h
e
e
n
er
g
y
co
m
p
o
n
e
n
t
s
co
n
s
u
m
ed
b
y
d
if
f
er
en
t su
b
s
y
s
te
m
s
w
h
ich
m
a
y
b
e
o
f
th
e
f
o
llo
w
i
n
g
t
y
p
es:
a.
E
n
er
g
y
co
n
s
u
m
ed
b
y
th
e
p
r
o
ce
s
s
o
r
(
E
p
);
b.
E
n
er
g
y
co
n
s
u
m
ed
b
y
d
y
n
a
m
ic
R
A
M
(
E
d
);
c.
E
n
er
g
y
co
n
s
u
m
ed
b
y
h
ar
d
d
is
k
(
E
h
);
d.
E
n
er
g
y
co
n
s
u
m
ed
b
y
m
o
t
h
er
b
o
ar
d
(
E
m
)
e.
E
n
er
g
y
co
n
s
u
m
ed
b
y
elec
tr
ica
l c
o
m
p
o
n
e
n
t
s
(
E
e
).
T
h
e
to
tal
en
er
g
y
co
n
s
u
m
ed
b
y
th
e
s
y
s
te
m
is
2
1
00
E
=
(
E
)
j
t
M
N
p
d
h
m
e
k
k
k
k
k
jk
t
E
E
E
E
d
t
(3
)
T
h
e
in
ter
v
al
t
1
a
n
d
t
2
ar
e
ex
p
lain
ed
as p
er
th
e
f
o
llo
w
i
n
g
:
a.
A
cti
v
e
T
i
m
e
(
t
a
)
r
ep
r
esen
ts
wh
en
t
h
e
clo
u
d
s
er
v
er
is
in
ac
t
iv
e
m
o
d
e
an
d
p
r
o
ce
s
s
in
g
t
h
e
i
n
f
o
r
m
at
io
n
;
b.
Sleep
T
im
e
(
t
s
)
r
ep
r
esen
ts
w
h
en
th
e
n
o
d
e
is
id
le
i.e
.
n
o
p
r
o
ce
s
s
is
e
x
ec
u
ted
o
n
n
o
d
e
th
e
n
ca
lled
as
s
leep
ti
m
e;
c.
Sh
ar
i
n
g
T
i
m
e
(
t
sh
)
r
ep
r
esen
ts
w
h
e
n
n
o
d
e
ta
k
es
th
e
r
e
s
o
u
r
ce
s
o
r
it
is
s
h
ar
ed
b
y
o
t
h
er
n
o
d
es
an
d
it
i
n
cl
u
d
es
lis
te
n
ti
m
e
also
.
E
n
er
g
y
p
r
o
d
u
ce
d
b
y
o
n
e
s
er
v
e
r
is
g
i
v
en
b
y
(
4
)
L
et
to
tal
n
o
d
es
u
s
ed
f
o
r
en
er
g
y
co
n
s
u
m
p
tio
n
ar
e
N
1
,
N
2
,
…
N
n
w
h
er
e
T
d
en
o
tes
to
tal
n
u
m
b
er
s
o
f
n
o
d
es
w
h
ic
h
ar
e
h
eter
o
g
e
n
eo
u
s
n
o
d
es.
Fo
r
f
ir
s
t n
o
d
e
N
1
E
1,
=E
F
+E
v
(
5
)
L
et
all
n
o
d
es g
e
n
er
ate
f
i
x
ed
am
o
u
n
t
o
f
f
i
x
ed
en
er
g
y
t
h
en
(
6
)
∑
(
7
)
E
n
er
g
y
d
ep
en
d
s
o
n
th
e
t
i
m
e
t
h
en
tak
i
n
g
in
to
v
ar
iab
le
p
ar
t o
f
en
er
g
y
co
n
s
u
m
p
tio
n
(
8
)
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.
8
,
No
.
1
,
Feb
r
u
ar
y
201
8
:
3
4
4
–
3
5
4
350
A
cti
v
e
ti
m
e
o
f
No
d
e
Sh
ar
i
n
g
ti
m
e
=h
+(
1
-
h)
=T
-
(
)
+(
h
+(
1
-
h)
)
5.
CL
O
UD
ANA
L
YS
T
C
lo
u
d
an
al
y
s
t
is
a
s
i
m
u
latio
n
to
o
l
d
ev
elo
p
ed
at
Un
iv
er
s
i
t
y
o
f
Me
lb
o
u
r
n
e
f
o
r
ac
h
ie
v
i
n
g
s
p
ec
if
ic
g
o
al.
I
t
s
h
o
w
s
g
r
ap
h
ical
r
ep
r
es
en
tatio
n
o
f
o
u
tp
u
t.I
t
i
s
u
s
ed
f
o
r
s
i
m
u
latio
n
o
f
d
is
tr
ib
u
ted
a
p
p
licatio
n
s
ca
tter
ed
in
v
ar
io
u
s
d
atac
en
ter
s
an
d
u
s
e
r
g
r
o
u
p
s
.
I
t
also
s
u
p
p
o
r
t
s
i
m
u
l
atio
n
o
f
s
o
cial
n
et
w
o
r
k
to
o
ls
.
W
h
en
a
u
s
er
r
eq
u
e
s
t
f
o
r
a
a
task
,
b
r
o
k
er
en
tit
y
r
o
u
t
e
th
e
u
s
er
tr
a
f
f
ic
to
th
e
d
atac
e
n
ter
ac
co
r
d
in
g
to
r
o
u
n
d
r
o
b
in
p
o
licy
.
Ma
in
en
ti
ties
i
n
clo
u
d
an
al
y
s
t
ar
e
I
n
ter
n
et,
r
eg
io
n
,
u
s
er
b
ase,
I
n
ter
n
et
clo
u
d
lets
,
C
lo
u
d
Ap
p
s
er
v
ice
b
r
o
k
er
,
Data
ce
n
ter
co
n
tr
o
ller
,
VM
lo
ad
b
alan
ce
r
an
d
GUI
.
6.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
NS
I
n
th
i
s
ex
p
er
i
m
e
n
t,
in
ter
n
et
ap
p
licatio
n
is
lo
ca
ted
o
n
s
ix
d
at
a
ce
n
tr
es
g
lo
b
all
y
.
T
h
e
clo
u
d
e
n
v
ir
o
m
en
t
co
n
s
is
ts
o
f
s
i
x
u
s
er
b
ases
w
h
ich
ar
e
d
is
tib
u
ted
an
d
s
i
x
d
ata
ce
n
tr
es
w
it
h
5
,
5
,
5
,
5
,
5
an
d
5
Vir
tu
al
Ma
ch
i
n
e
(
VM
’
s
)
.
Geo
g
r
ap
h
ical
v
ie
w
is
s
h
o
w
n
i
n
Fi
g
u
r
e
3
.
Fig
u
r
e
3
.
A
v
ie
w
o
f
g
eo
g
r
ap
h
i
ca
l r
esp
o
n
s
e
ti
m
e
Dif
f
er
en
t
r
eg
io
n
s
ar
e
ca
te
g
o
r
ized
f
r
o
m
t
h
e
g
eo
g
r
ap
h
ical
ar
ea
an
d
s
i
x
-
u
s
er
b
ase
h
av
e
b
e
en
cr
ea
ted
u
s
i
n
g
t
h
e
s
i
m
u
latio
n
to
o
l.
R
e
s
p
o
n
s
e
ti
m
e
o
f
ea
ch
u
s
er
b
ase
i
s
r
ec
o
d
ed
in
th
e
tab
le
1
.
T
h
e
l
o
w
est
r
esp
o
n
s
e
ti
m
e
is
r
ec
o
r
d
ed
b
y
u
s
er
b
ase
(
UB
1
)
w
h
ich
h
as
r
an
g
e
f
r
o
m
3
7
.
6
3
1
to
6
0
.
1
0
,
h
en
ce
av
er
ag
e
i
s
5
0
.
2
0
4
m
il
lis
ec
o
n
d
s
.
T
h
e
m
a
x
i
m
u
m
is
r
ec
o
r
d
ed
b
y
th
e
u
s
er
b
ase
(
UB
5
)
w
h
ic
h
h
as
r
an
g
e
f
r
o
m
3
7
5
.
1
4
1
to
6
0
7
.
6
4
3
w
it
h
av
er
ag
e
ti
m
e
is
5
0
0
.
5
3
3
m
il
lis
ec
o
n
d
s
.
T
h
e
o
v
er
all
r
esp
o
n
s
e
ti
m
e
is
r
ec
o
r
d
ed
as
o
n
a
v
er
ag
e
o
f
2
5
9
.
8
2
w
it
h
0
.
3
1
m
illi
s
ec
o
n
d
s
p
r
o
ce
s
s
in
g
t
i
m
e.
Fo
r
co
m
p
u
ti
n
g
p
u
r
p
o
s
e
r
o
u
n
d
r
o
b
in
p
o
lic
y
h
a
s
b
ee
n
a
d
o
p
ted
.
T
h
e
r
esu
lts
ar
e
also
d
em
o
n
s
tr
ated
th
r
o
u
g
h
g
r
ap
h
r
ep
r
esen
ted
in
Fi
g
u
r
e
4
.
Data
ce
n
tr
e
r
eq
u
es
t
s
er
v
ice
ti
m
e
is
a
ls
o
co
m
p
u
ted
in
r
o
u
n
d
r
o
b
in
m
a
n
n
er
f
o
r
s
i
x
r
e
g
io
n
s
a
n
d
it
i
s
o
b
s
er
v
ed
th
at
th
e
m
i
n
i
m
u
m
s
er
v
ice
r
eq
u
est
is
p
er
f
o
r
m
ed
b
y
d
ata
ce
n
ter
1
(
DC
1
)
w
h
i
le
m
a
x
i
m
u
m
i
s
d
ata
ce
n
ter
4
(
DC
4
)
,
g
r
ap
h
ical
r
ep
r
esen
tat
io
n
is
s
h
o
w
n
in
f
i
g
u
r
e
4
,
lo
ad
in
g
o
n
s
i
x
d
ata
ce
n
ter
s
is
also
r
ep
r
esen
ted
in
Fi
g
u
r
e
5
.
Sin
ce
lo
ad
in
g
i
s
d
o
n
e
o
n
ea
ch
m
ac
h
in
e
h
e
n
ce
co
s
ti
n
g
is
o
n
e
o
f
t
h
e
m
aj
o
r
f
ac
to
r
i
n
co
m
p
u
ti
n
g
th
r
o
u
g
h
r
o
u
n
d
r
o
b
in
m
a
n
n
er
f
o
r
s
ix
u
s
er
b
ase
(
UB
)
,
it
is
r
ep
r
esen
ted
in
f
i
g
u
r
e
6
.
Si
m
u
latio
n
r
esu
lt
s
h
o
w
s
t
h
at
v
ir
tu
a
l
m
ac
h
i
n
e
co
s
t is $
3
.
0
1
w
h
ile
d
ata
tr
an
s
f
er
co
s
t i
s
$
0
.
3
8
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
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n
g
I
SS
N:
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8708
V
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in
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lo
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n
v
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men
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u
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o
f
r
esp
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s
e
t
i
m
e
f
o
r
UB
Fig
u
r
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5
.
R
esu
lts
o
f
lo
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n
g
o
n
DC
Fig
u
r
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6
.
T
o
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t D
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s
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r
an
s
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is
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f
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n
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m
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en
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n
m
e
n
t
is
s
h
o
w
n
in
f
i
g
u
r
e
8
,
s
o
b
an
d
w
id
th
an
d
d
ela
y
in
n
et
w
o
r
k
is
i
m
p
o
r
ta
n
t
f
ac
t
o
r
.
B
an
d
w
id
th
m
atr
ix
is
s
h
o
w
n
i
n
tab
le1
f
o
r
s
ix
r
eg
io
n
s
a
n
d
d
ela
y
m
atr
i
x
r
ep
r
esen
ted
in
T
ab
le
1
an
d
T
a
b
le
2
.
T
h
ese
t
w
o
r
ep
r
esen
t i
n
te
r
n
et
ch
ar
ac
ter
is
t
ics.
T
ab
le
1
.
R
ep
r
esen
tatio
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o
f
I
n
t
er
n
et
C
h
ar
ac
ter
is
tic
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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n
t J
E
lec
&
C
o
m
p
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n
g
,
Vo
l.
8
,
No
.
1
,
Feb
r
u
ar
y
201
8
:
3
4
4
–
3
5
4
352
T
ab
le
2
.
R
ep
r
esen
tatio
n
s
o
f
C
o
n
f
i
g
u
r
ed
Si
m
u
latio
n
C
o
m
p
lete
s
i
m
u
latio
n
r
esu
lt
s
a
r
e
r
ep
r
esen
ted
in
T
a
b
le
3
as
d
ata
s
ize
p
er
r
eq
u
est
is
1
0
0
b
y
t
es
w
h
ic
h
is
alo
n
g
w
it
h
r
eg
u
lar
s
ize.
Me
m
o
r
y
co
s
t
is
$
0
.
0
5
p
er
u
s
er
b
ase
(
UB
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w
it
h
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ata
tr
an
s
f
er
co
s
t
is
$
0
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1
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o
r
ea
ch
u
s
er
b
ase(
UB
)
.
T
ab
le
3
.
C
o
m
p
lete
Si
m
u
latio
n
R
es
u
lt f
o
r
Data
ce
n
ter
5
.
CO
NCLUS
I
O
N
S
T
h
e
ab
o
v
e
ap
p
r
o
a
ch
is
u
s
e
f
u
l
f
o
r
f
in
d
i
n
g
th
e
s
i
m
u
latio
n
r
es
u
lts
f
o
r
th
e
v
ar
iab
le
en
er
g
y
co
n
s
u
m
p
tio
n
s
b
y
t
h
e
d
ev
ice
s
u
s
ed
in
t
h
e
co
m
p
u
ter
ce
n
tr
es
o
f
a
n
o
r
g
an
iza
t
io
n
.
I
n
th
i
s
w
o
r
k
u
s
er
b
ases
h
a
v
e
b
ee
n
cr
ea
ted
an
d
test
ed
an
d
r
esp
o
n
s
e
ti
m
e
alo
n
g
w
it
h
in
ter
n
et
ch
ar
ac
ter
is
t
ics
h
av
e
b
ee
n
d
ef
i
n
ed
.
A
ct
iv
e
ti
m
e
o
f
th
e
n
o
d
e
h
as
b
ee
n
co
m
p
u
ted
a
n
d
r
esu
lts
ar
e
r
ep
r
esen
ted
w
ith
th
e
h
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ap
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u
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w
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s
u
p
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t.
RE
F
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NC
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[1
]
Bo
o
c
h
,
G
.
,
Ob
jec
t
-
Orie
n
ted
A
n
a
ly
sis a
n
d
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sig
n
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it
h
A
p
p
li
c
a
ti
o
n
s,
Ad
d
iso
n
W
e
sle
y
(1
9
9
4
).
[2
]
Bo
o
c
h
,
G
.
,
Ra
m
b
a
u
g
h
,
J.
a
n
d
Ja
c
o
b
so
n
,
J.
,
T
h
e
Un
if
ied
M
o
d
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li
n
g
L
a
n
g
u
a
g
e
,
Ad
d
iso
n
W
e
sle
y
(1
9
9
9
).
[3
]
OMG
,
Un
if
ied
M
o
d
e
li
n
g
L
a
n
g
u
a
g
e
S
p
e
c
if
ic
a
ti
o
n
,
h
tt
p
://
www.
o
mg
.
o
rg
(
2
0
0
1
).
[4
]
OMG
,
X
M
L
M
e
tad
a
ta In
terc
h
a
n
g
e
(X
M
L
)
S
p
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c
if
ica
ti
o
n
,
h
tt
p
:/
/ww
w.
o
mg
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rg
(
2
0
0
2
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N:
2088
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V
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tu
a
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ch
in
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A
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ca
tio
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P
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licy
in
C
lo
u
d
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mp
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g
E
n
v
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o
n
men
t U
s
in
g
C
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u
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(
Ta
s
ke
en
Za
id
i
)
353
[5
]
P
l
lan
a
,
S
.
a
n
d
F
a
h
ri
n
g
e
r,
T
.
,
On
Cu
sto
m
izin
g
th
e
UML
f
o
r
M
o
d
e
l
in
g
P
e
rf
o
rm
a
n
c
e
Ori
e
n
ted
A
p
p
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c
a
ti
o
n
s,
S
p
rin
g
e
r
-
Ver
leg
(2
0
0
2
)
.
[6
]
P
l
lan
a
,
S
.
a
n
d
F
a
h
rin
g
e
r,
T
.
,
UM
L
Ba
se
d
M
o
d
e
li
n
g
o
f
P
e
rf
o
r
m
a
n
c
e
Orie
n
ted
P
a
ra
ll
e
l
a
n
d
Distri
b
u
ted
A
p
p
li
c
a
ti
o
n
s,
W
in
ter
S
imu
l
a
ti
o
n
C
o
n
fer
e
n
c
e
(2
0
0
2
).
[7
]
S
a
x
e
n
a
,
V
.
a
n
d
A
ro
ra
,
D.,
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
f
o
r
Ob
jec
t
-
Orie
n
ted
S
o
f
tw
a
re
S
y
ste
m
s,
ACM
-
S
IGS
OFT
(2
0
0
9
),
3
4
(
2
).
[8
]
P
o
o
ley
,
R.
a
n
d
Kin
g
,
P
.
,
T
h
e
Un
if
ied
M
o
d
e
li
n
g
a
n
d
P
e
rf
o
rm
a
n
c
e
E
n
g
in
e
e
rin
g
,
IEE
E
S
o
ft
wa
re
(
1
9
9
9
),
1
4
6
(
1
).
[9
]
G
o
o
m
a
,
H.,
De
sig
n
in
g
Co
n
c
u
rr
e
n
t,
Distrib
u
ted
a
n
d
Rea
l
T
ime
Ap
p
li
c
a
ti
o
n
s
wit
h
UM
L
,
IEE
E
2
3
rd
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
S
o
f
twa
re
En
g
in
e
e
rin
g
(2
0
0
1
)
.
[1
0
]
Z
h
a
n
g
,
H.
L
.
,
Leu
n
g
,
H.
C.
a
n
d
Ra
ik
u
n
d
a
li
a
,
G
.
K.,
Per
fo
rm
a
n
c
e
An
a
lys
is
o
f
Ne
two
rk
T
o
p
o
lo
g
ies
in
Ag
e
n
t
Ba
se
d
Op
e
n
Co
n
n
e
c
ti
v
it
y
Arc
h
it
e
c
tu
re
fo
r
DS
S
,
27
th
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
A
d
v
a
n
c
e
d
In
f
o
r
m
a
ti
o
n
Ne
tw
o
rk
in
g
a
n
d
A
p
p
li
c
a
ti
o
n
(
2
0
0
8
).
[1
1
]
Zh
e
n
,
S
.
G
.
a
n
d
Zh
u
a
n
g
,
Y.,
Im
p
ro
v
in
g
Ne
tw
o
rk
P
e
r
-
f
o
r
m
a
n
c
e
b
y
T
ra
ff
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Re
d
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o
n
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I
n
fo
rm
a
ti
o
n
Co
mm
u
n
ica
ti
o
n
an
d
S
i
g
n
a
l
Pr
o
c
e
ss
in
g
,
(1
9
9
7
),
Vo
l.
2
,
1
2
2
6
-
1
2
3
0
.
[1
2
]
Yu
n
g
,
W
.
T
.
a
n
d
M
o
ris,
R.
T
.
J.,
L
o
a
d
S
h
a
rin
g
in
Distr
ib
u
ted
S
y
st
e
m
s”
,
IEE
E
T
ra
n
sa
c
ti
o
n
o
n
Co
mp
u
ter
s
,
(1
9
8
5
),
3
4
(
3
),
2
0
4
-
2
1
7
.
[1
3
]
S
h
in
,
D.,
Kim
,
J.,
a
n
d
L
e
e
,
S
.
,
In
t
ra
T
a
sk
V
o
lt
a
g
e
S
c
h
e
-
d
u
li
n
g
f
o
r
L
o
w
-
En
e
r
g
y
H
a
rd
Re
a
l
-
T
i
m
e
A
p
p
li
c
a
ti
o
n
s,
IEE
E
De
s T
e
st Co
mp
u
ter
,
(
2
0
0
1
)
,
1
8
(2
):
2
0
–
3
0
.
[1
4
]
Ya
n
g
,
P
.
,
W
o
n
g
,
C.
,
M
a
rc
h
a
l,
P
.
,
Ca
tt
h
o
o
r,
F
.
,
De
sm
e
t,
D.,
V
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rk
e
st
,
D.
a
n
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L
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in
s,
R.
,
E
n
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rg
y
Aw
a
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Ru
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d
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Em
b
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d
d
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d
M
u
lt
i
p
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ss
o
r
S
OCs
,
IEE
E
De
s T
e
st Co
mp
u
ter
,
(2
0
0
1
),
1
8
(5
)
,
4
6
–
5
8
.
[1
5
]
Zh
o
n
g
,
X.
a
n
d
Xu
,
C
.
Z.
,
En
e
rg
y
Aw
a
re
M
o
d
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li
n
g
a
n
d
S
c
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d
u
li
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g
f
o
r
D
y
n
a
m
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V
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lt
a
g
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S
c
a
li
n
g
w
it
h
S
tatisti
c
a
l
Re
a
l
T
i
m
e
G
u
a
ra
n
tee
,
IEE
E
T
ra
n
sa
c
ti
o
n
Co
mp
u
ter
Ne
two
rk
in
g
,
(
2
0
0
7
),
5
6
(
3
),
3
5
8
–
3
7
2
.
[1
6
]
Zh
u
,
D
.
,
M
e
l
h
e
m
,
R.
a
n
d
Ch
il
d
e
rs,
B.
R.
,
S
c
h
e
d
u
l
in
g
w
i
th
Dy
n
a
m
ic
V
o
lt
a
g
e
/S
p
e
e
d
A
d
ju
stm
e
n
t
T
u
sin
g
S
lac
k
Re
c
la
m
a
ti
o
n
in
M
u
lt
i
p
ro
c
e
ss
o
r
Re
a
l
-
T
i
m
e
S
y
ste
m
s,
IEE
E
T
ra
n
sa
c
ti
o
n
o
f
Pa
ra
l
lel
Distrib
u
ti
n
g
S
y
ste
m
,
(2
0
0
3
)
,
1
4
(
7
):6
8
6
–
7
0
0
.
[1
7
]
Zh
u
,
D.,
M
o
ss
e
,
D.
a
n
d
M
e
lh
e
m
,
R.
,
P
o
w
e
r
-
Aw
a
r
e
S
c
h
e
d
u
li
n
g
f
o
r
A
ND
/OR
G
r
a
p
h
s
in
Re
a
l
-
T
ime
S
y
ste
m
s,
IEE
E
T
ra
n
sa
c
ti
o
n
o
f
Pa
r
a
ll
e
l
a
n
d
Distr
ib
u
te
d
S
y
ste
m
,
(
2
0
0
4
),
1
5
(
9
),
8
4
9
–
8
6
4
.
[1
8
]
Zh
u
o
,
J.
a
n
d
Ch
a
k
ra
b
a
rti
,
C
.
,
E
n
e
rg
y
-
E
ff
icie
n
t
Dy
n
a
m
i
c
T
a
sk
S
c
h
e
d
u
l
in
g
A
lg
o
rit
h
m
s
f
o
r
DV
S
S
y
ste
m
s,
AC
M
T
ra
n
sa
c
ti
o
n
o
n
Emb
e
d
d
e
d
Co
mp
u
ter
S
y
ste
m
,
(2
0
0
8
),
7
(2
),
A
rti
c
le No
.
1
7
.
[1
9
]
Ba
rn
e
tt
,
J.A
.
,
Dy
n
a
m
i
c
Tas
k
-
L
e
v
e
l
V
o
lt
a
g
e
S
c
h
e
d
u
li
n
g
Op
ti
m
iza
ti
o
n
s,
IE
EE
T
r
a
n
sa
c
ti
o
n
o
n
Co
m
p
u
ter
Ne
two
rk
in
g
,
(2
0
0
5
),
5
4
(5
),
5
0
8
–
5
2
0
.
[2
0
]
V
e
re
e
c
k
e
n
,
W
.
,
De
b
o
o
se
re
,
L
.
,
Co
ll
e
,
D.,
V
e
rm
e
u
le
n
,
B.
,
P
ick
a
v
e
t,
M
.
,
Dh
o
e
d
t
,
B.
a
n
d
De
m
e
e
ste
r,
P
.
,
En
e
rg
y
Eff
icie
n
c
y
in
T
e
le
c
o
m
m
u
n
ica
ti
o
n
Ne
tw
o
rk
s
,
Pro
c
e
e
d
in
g
s NOC
,
Kr
e
m
s,
A
u
stria (2
0
0
8
),
p
p
.
4
4
–
5
1
.
[2
1
]
L
u
b
rit
to
,
C.
,
P
e
trag
li
a
,
A
.
,
V
e
tro
m
il
e
,
C.
,
Ca
terin
a
,
F
.
,
D’O
n
o
f
rio
,
A
.
,
L
o
g
o
re
ll
i,
M
.
,
M
a
rsic
o
,
G
.
a
n
d
Cu
rc
u
r
u
to
,
S
.
,
T
e
lec
o
mm
u
n
ica
ti
o
n
Po
we
r
S
y
ste
ms
:
En
e
rg
y
S
a
v
in
g
,
Ren
e
w
a
b
le
S
o
u
rc
e
s
a
n
d
E
n
v
iro
n
me
n
t
a
l
M
o
n
it
o
ri
n
g
,
P
r
o
c
e
e
d
in
g
s o
f
IEE
E
INT
EL
EC
(2
0
0
8
),
p
p
.
1
–
4
.
[2
2
]
M
a
rsa
n
,
M
.
C.
,
Ch
iara
v
ig
li
o
,
L
.
,
Ciu
ll
o
,
D.
a
n
d
M
e
o
,
M
.
,
Op
ti
m
a
l
E
n
e
rg
y
S
a
v
in
g
s
in
Ce
ll
u
l
a
r
A
c
c
e
ss
Ne
two
rk
s,
P
r
o
c
e
e
d
in
g
s IE
EE
ICC
(2
0
0
9
),
p
p
.
1
–
5
.
[2
3
]
Ch
a
b
a
re
k
,
J.,
S
o
m
m
e
rs,
J.,
Ba
rf
o
rd
,
P
.
,
Estan
,
C.
,
T
sia
n
g
,
D.
a
n
d
W
rig
h
t,
S
.
,
P
o
we
r
Awa
re
n
e
ss
in
Ne
two
rk
De
sig
n
a
n
d
Ro
u
ti
n
g
,
P
r
o
c
e
e
d
in
g
s 2
7
t
h
IE
EE
INFOCOM,
(
2
0
0
8
),
p
p
.
4
5
7
–
4
6
5
.
[2
4
]
M
o
rik
a
w
a
,
H.
a
n
d
M
in
a
m
i,
M
.
,
S
o
me
Op
e
n
Ch
a
ll
e
n
g
e
s
fo
r
Imp
ro
v
in
g
th
e
En
e
rg
y
Ef
fi
c
ien
c
y
o
f
T
h
e
In
ter
n
e
t,
P
r
o
c
e
e
d
in
g
s o
f
3
rd
CFI
,
2
0
0
8
.
[2
5
]
Hin
to
n
,
K.,
S
o
ri
n
,
W
.
V
.
,
T
u
c
k
e
r,
R.
S
,
Ba
li
g
a
,
A
.
J.
a
n
d
A
y
r
e
,
R.
,
En
e
rg
y
Co
n
su
m
p
ti
o
n
i
n
Op
ti
c
a
l
in
Ne
tw
o
rk
s,
J
o
u
rn
a
l
L
i
g
h
tweig
h
t
T
e
c
h
n
o
l
o
g
y
,
(2
0
0
9
)
Vo
l.
2
7
(
1
3
),
p
p
.
2
3
9
1
–
2
4
0
3
.
[2
6
]
L
o
rin
c
z
,
J.,
Ca
p
o
n
e
,
A
.
a
n
d
Be
g
u
sic
,
D.,
“
Op
ti
m
ize
d
Ne
t
w
o
rk
M
a
n
a
g
e
m
e
n
t
f
o
r
En
e
rg
y
S
a
v
in
g
s
o
f
W
irele
ss
Ac
c
e
ss
Ne
tw
o
rk
s,
J
o
u
rn
a
l
o
f
Co
mp
u
ti
n
g
Ne
two
rk
,
(2
0
1
1
),
Vo
l.
5
5
(
3
),
p
p
.
5
1
4
–
5
4
0
.
[2
7
]
A
d
d
is,
B.
,
Ca
p
o
n
e
,
A
.
,
Ca
re
ll
o
,
G
.
,
G
ian
o
li
,
L
.
G
.
a
n
d
S
a
n
so
,
B.
,
E
n
e
rg
y
Awa
re
M
u
lt
ip
e
rio
d
T
ra
ff
ic E
n
g
i
n
e
e
rin
g
wit
h
Fl
o
w
-
B
a
se
d
Ro
u
ti
n
g
,
P
r
o
c
e
e
d
in
g
s o
f
IEE
E
ICC,
(J
u
n
.
2
0
1
2
)
,
p
p
.
5
9
5
7
–
5
9
6
1
.
[2
8
]
L
e
e
,
S
.
S
.
W
.
,
Tse
n
g
,
P
.
K.
a
n
d
C
h
e
n
,
A
.
,
“
L
in
k
Weig
h
t
A
ss
ig
n
m
e
n
t
a
n
d
L
o
o
p
-
F
re
e
Ro
u
ti
n
g
T
a
b
le
Up
d
a
te
f
o
r
L
in
k
S
tate
Ro
u
t
in
g
P
r
o
to
c
o
ls
in
En
e
r
g
y
-
Aw
a
re
In
tern
e
t,
Fu
t
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re
Ge
n
e
ra
l
Co
m
p
u
ter
S
y
ste
m,
(
2
0
1
2
),
Vo
l.
2
8
(2
)
,
p
p
.
4
3
7
–
4
4
5
.
[2
9
]
Ch
o
,
S
.
a
n
d
M
e
lh
e
m
,
R.
G
.
,
“
On
th
e
In
ter
p
lay
o
f
P
a
ra
ll
e
li
z
a
ti
o
n
,
P
ro
g
ra
m
P
e
rf
o
rm
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n
c
e
,
a
n
d
En
e
rg
y
Co
n
s
u
m
p
ti
o
n
,
IEE
E
T
ra
n
s P
a
ra
ll
e
l
Distri
b
u
te
d
S
y
ste
m,
(2
0
1
0
),
2
1
(3
)
,
3
4
2
–
3
5
3
.
[3
0
]
Kh
a
n
,
S
.
U.
a
n
d
A
h
m
a
d
,
I.
,
A
Co
o
p
e
ra
ti
v
e
Ga
m
e
T
h
e
o
re
ti
c
a
l
T
e
c
h
n
iq
u
e
f
o
r
Jo
in
t
Op
ti
m
iza
ti
o
n
o
f
En
e
rg
y
Co
n
su
m
p
ti
o
n
a
n
d
Re
sp
o
n
se
T
ime
in
Co
m
p
u
tatio
n
a
l
G
rid
s,
IEE
E
T
ra
n
sa
c
ti
o
n
Pa
ra
ll
e
l
Distrib
u
ted
S
y
ste
m
(2
0
0
9
),
2
0
(
3
),
3
4
6
–
3
6
0
.
[3
1
]
Ch
iara
v
ig
li
o
,
L
.
,
M
e
ll
ia,
M
.
,
a
n
d
Ne
ri,
F
.
,
M
in
im
izin
g
IS
P
Ne
tw
o
rk
En
e
rg
y
Co
st:
F
o
rm
u
latio
n
a
n
d
S
o
lu
ti
o
n
s,
IEE
E/
ACM
T
ra
n
sa
c
ti
o
n
o
n
Ne
two
rk
in
g
,
(2
0
1
2
),
Vo
l.
2
0
(
2
),
p
p
.
4
6
3
–
4
7
6
.
[3
2
]
Am
a
ld
i,
E.
,
Ca
p
o
n
e
,
A
.
a
n
d
G
ian
o
li
,
L
.
G
.
,
En
e
rg
y
-
Aw
a
re
IP
T
ra
ff
ic
En
g
in
e
e
rin
g
w
it
h
S
h
o
rtes
t
P
a
th
R
o
u
t
in
g
,
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
Ne
two
rk
i
n
g
,
(2
0
1
3
)
,
p
p
.
1
–
6
.
[3
3
]
Zaid
i,
T
.
a
n
d
S
a
x
e
n
a
,
V
.
,
M
o
d
e
li
n
g
a
n
d
V
a
li
d
a
ti
o
n
o
f
Ex
e
c
u
ti
o
n
o
f
T
a
s
k
s
o
n
Hig
h
S
p
e
e
d
Ne
tw
o
rk
u
n
d
e
r
Distr
ib
u
ted
En
v
iro
n
m
e
n
t,
ACM
-
S
IGS
OF
T
,
(
M
a
y
2
0
1
3
),
3
8
(
3
).
[3
4
]
M
o
h
a
m
m
e
d
A
lh
a
m
a
d
,
T
h
a
ra
m
Di
ll
o
n
,
Ch
e
n
W
u
a
n
d
El
iza
b
e
th
C
h
a
n
g
;
Res
p
o
n
se
ti
me
fo
r clo
u
d
c
o
mp
u
ti
n
g
p
r
o
v
id
e
rs
in
P
r
o
c
e
e
d
in
g
s o
f
1
2
th
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
In
f
o
rm
a
ti
o
n
In
t
e
g
ra
ti
o
n
a
n
d
W
e
b
b
a
se
d
A
p
p
li
c
a
ti
o
n
s&
S
e
rv
ice
s.
[3
5
]
Ag
ra
j
S
h
a
r
m
a
&
S
a
te
e
sh
k
.
P
e
d
d
o
ju
,
Re
sp
o
n
se
ti
m
e
b
a
se
d
lo
a
d
b
a
lan
c
in
g
in
c
l
o
u
d
c
o
m
p
u
ti
n
g
,
iee
e
x
p
lo
re
.
iee
e
.
o
rg
/x
p
l/
a
rti
c
leD
e
t
a
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s.jsp
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tp
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&
a
rn
u
m
b
e
r=
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9
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.
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