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.
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4
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SS
N:
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Enha
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sp
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t
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p
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m
m
in
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(
A
OP
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a
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m
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in
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m
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t
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t
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A
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t
h
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in
ter
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t
of
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in
g
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ro
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n
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t,
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n
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p
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ti
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n
d
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se
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p
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r
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p
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OP
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d
e
l
f
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r
Io
T
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ste
m
s
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a
se
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e
P
e
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e
t
re
p
re
se
n
tat
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n
s.
T
h
e
m
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d
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l
stra
teg
ica
ll
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teg
ra
tes
th
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c
o
re
A
OP
a
d
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a
n
tag
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s
of
m
o
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u
sa
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a
n
d
e
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ten
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ty
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icro
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r
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se
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d
sp
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a
n
d
li
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g
of
se
n
so
r
-
sp
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c
if
ic
re
q
u
irem
e
n
ts
in
I
o
T
e
n
v
iro
n
m
e
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ts
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K
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s
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C
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I
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Mic
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Dép
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1.
I
NT
RO
D
UCT
I
O
N
T
h
e
in
ter
n
et
of
th
i
n
g
s
(
I
o
T
)
[
1
]
is
a
co
n
te
m
p
o
r
ar
y
tech
n
o
lo
g
y
t
h
at
m
a
k
es
it
p
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s
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ib
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to
b
u
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a
co
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ec
ted
w
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ld
b
ased
on
p
h
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ical
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b
j
ec
ts
th
at
can
be
u
s
ed
in
s
m
ar
t
v
eh
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les,
w
a
ter
s
y
s
te
m
s
,
s
m
ar
t
h
o
m
e
ap
p
lian
ce
s
,
a
n
d
o
th
er
e
x
te
n
s
i
o
n
s
t
h
at
ar
e
in
te
g
r
ated
w
it
h
s
o
f
t
w
ar
e,
elec
tr
o
n
ic
s
,
an
d
v
ar
i
o
u
s
s
o
r
ts
of
s
e
n
s
o
r
s
an
d
n
et
w
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r
k
s
t
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at
allo
w
t
h
ese
o
b
j
ec
ts
to
co
m
m
u
n
icate
an
d
s
h
ar
e
d
ata
[
2
]
,
[
3
]
.
No
w
ad
a
y
s
,
I
o
T
is
an
im
p
o
r
tan
t
an
d
w
id
el
y
u
s
ed
lo
w
-
ar
ea
n
et
w
o
r
k
c
h
ar
ac
ter
ized
by
lo
w
e
n
er
g
y
co
n
s
u
m
p
tio
n
,
lo
w
m
e
m
o
r
y
,
a
n
d
th
e
ab
ilit
y
to
u
s
e
a
lar
g
e
n
u
m
b
er
of
s
e
n
s
o
r
s
.
Dev
elo
p
m
e
n
t
of
th
e
s
e
d
if
f
er
en
t
s
y
s
te
m
s
in
a
s
in
g
le
I
o
T
ap
p
licatio
n
can
be
d
o
n
e
by
m
ic
r
o
s
er
v
ices
[
4
]
,
[
5
]
.
E
ac
h
s
en
s
o
r
can
o
f
f
e
r
o
n
ly
o
n
e
m
icr
o
s
er
v
ices
d
u
e
to
its
lo
w
m
e
m
o
r
y
;
on
th
e
o
th
er
s
id
e,
o
n
e
s
en
s
o
r
can
d
ea
l
w
ith
s
e
v
er
al
m
icr
o
s
e
r
v
ices
[
6
]
.
T
h
is
w
ill
c
au
s
e
r
ed
u
n
d
a
n
c
y
co
d
es
an
d
m
a
n
y
cr
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s
s
-
c
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tti
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g
co
n
ce
r
n
s
th
at
a
f
f
ec
t
v
ar
io
u
s
I
o
T
d
ev
ice
co
d
es.
To
tack
le
t
h
is
p
r
o
b
le
m
u
s
i
n
g
asp
ec
t
o
r
ien
ted
p
r
o
g
r
a
m
m
i
n
g
(
AOP
)
[
7
]
,
a
n
o
v
el
ab
s
tr
ac
tio
n
d
esi
g
n
tec
h
n
iq
u
e
in
I
o
T
tech
n
o
lo
g
y
w
as
r
eq
u
ir
ed
to
s
o
lv
e
cr
o
s
s
-
cu
tti
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g
is
s
u
es,
p
r
o
v
id
e
en
titi
e
s
th
at
ar
e
s
i
m
u
l
tan
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u
s
l
y
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eu
s
ab
le,
m
o
d
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lar
,
an
d
ad
ap
tab
le,
p
r
o
d
u
ce
co
d
e
th
at
c
an
be
d
y
n
a
m
ica
ll
y
d
ep
lo
y
ed
,
an
d
i
m
p
r
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v
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t
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d
ata
ex
ch
a
n
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w
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v
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s
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r
s
an
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t
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ca
lib
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of
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wo
r
k
ed
d
ev
ices.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
3
,
No
v
e
m
b
er
2
0
2
5
:
745
-
753
746
A
OP
is
a
m
et
h
o
d
o
lo
g
y
t
h
at
p
r
o
v
id
es
s
ep
ar
atio
n
of
cr
o
s
s
c
u
t
tin
g
co
n
ce
r
n
s
by
i
n
tr
o
d
u
cin
g
a
n
e
w
u
n
it
of
m
o
d
u
lar
izatio
n
an
a
s
p
ec
t.
E
ac
h
asp
ec
t
f
o
c
u
s
es
on
a
s
p
ec
if
ic
cr
o
s
s
c
u
tti
n
g
f
u
n
ctio
n
al
it
y
[
8
]
.
T
h
ese
asp
ec
ts
ar
e
d
esig
n
ed
to
be
r
eu
s
ab
le
a
n
d
allo
w
ad
d
in
g
at
an
y
ti
m
e
a
n
e
w
b
eh
a
v
io
r
to
a
s
o
u
r
ce
co
d
e
w
it
h
o
u
t
alter
in
g
or
in
ter
ac
ti
n
g
w
i
th
t
h
e
o
th
er
asp
e
cts
[
9
]
.
In
ad
d
itio
n
to
th
e
n
o
tio
n
of
asp
ec
t,
asp
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
in
g
o
f
f
er
s
s
o
m
e
i
m
p
o
r
ta
n
t
k
e
y
s
co
n
ce
p
ts
[
1
0
]
,
[
1
1
]
:
−
J
o
in
p
o
in
t
is
a
p
r
ec
is
e
d
ef
in
itio
n
of
a
p
o
in
t
w
i
th
i
n
an
ap
p
licatio
n
co
d
e
w
h
er
e
it
can
be
eith
er
a
f
u
n
ctio
n
or
a
p
r
o
ce
d
u
r
e
w
h
er
e
it
w
ill
be
a
cr
o
s
s
-
c
u
tti
n
g
co
n
ce
r
n
.
−
P
o
in
tcu
t
is
an
e
x
p
r
ess
io
n
u
s
ed
to
be
m
a
tch
ed
w
it
h
j
o
in
p
o
in
t
s
.
T
h
e
p
o
in
tcu
t
u
s
e
t
h
r
ee
k
in
d
s
of
e
x
p
r
ess
io
n
s
(
b
ef
o
r
e,
af
ter
,
an
d
ar
o
u
n
d
)
.
−
A
d
v
ice
is
a
p
ar
t
of
th
e
ap
p
licat
io
n
co
d
e
d
ef
in
i
n
g
a
cr
o
s
s
-
c
u
tti
n
g
co
n
ce
r
n
t
h
at
r
elies
on
a
j
o
in
p
o
in
t.
−
Asp
ec
t
is
th
e
m
o
s
t
i
m
p
o
r
tan
t
m
ec
h
a
n
i
s
m
in
AOP
;
it
is
a
u
n
it
allo
w
i
n
g
m
o
d
u
lar
izatio
n
of
th
e
co
d
e
r
elate
d
to
a
f
in
al
ap
p
licatio
n
co
d
e.
−
W
ea
v
in
g
is
t
h
e
p
r
o
ce
s
s
th
at
al
lo
w
s
ad
v
ice
to
be
in
s
er
ted
i
n
t
o
th
e
f
u
n
ctio
n
al
ap
p
licatio
n
e
x
ac
tl
y
at
th
e
j
o
in
p
o
in
ts
.
A
p
p
l
y
in
g
A
OP
as
a
p
r
o
g
r
a
m
m
i
n
g
ap
p
r
o
ac
h
is
an
i
m
p
o
r
tan
t
f
o
cu
s
ar
ea
f
o
r
d
ev
elo
p
er
s
es
p
ec
iall
y
in
I
o
T
p
ar
a
d
ig
m
.
Ho
w
ev
er
,
th
er
e
is
a
v
er
y
f
e
w
of
liter
at
u
r
e
on
t
h
e
u
s
e
of
A
OP
in
t
h
e
I
o
T
p
ar
a
d
ig
m
.
−
Ma
in
g
r
et
et
a
l.
[
1
2
]
s
u
g
g
es
te
d
a
d
y
n
a
m
ic
ex
ter
n
al
b
eh
av
i
o
r
s
is
s
u
e.
T
h
e
y
s
ep
ar
ate
an
d
in
ter
co
n
n
ec
t
th
e
co
n
tex
t
tr
ac
k
in
g
f
r
o
m
t
h
e
co
n
tr
o
l
p
r
o
ce
s
s
in
an
I
o
T
ap
p
li
ca
tio
n
.
T
h
e
u
s
e
of
A
OP
w
a
s
to
m
a
n
ag
e
t
h
e
d
y
n
a
m
ic
e
x
ter
n
a
l
b
eh
a
v
io
r
s
d
ef
i
n
ed
as
asp
ec
t
s
.
In
th
i
s
w
o
r
k
,
t
h
e
au
th
o
r
s
d
id
n
o
t
d
is
c
u
s
s
th
e
p
r
o
b
le
m
s
of
m
icr
o
s
er
v
ice
s
or
d
ata
tr
an
s
ac
ti
o
n
s
.
−
B
alak
r
is
h
n
a
n
an
d
Sa
n
g
aiah
[
1
3
]
d
is
cu
s
s
ed
s
o
m
e
p
o
in
t
s
b
ased
on
th
e
n
ee
d
f
o
r
th
e
I
o
T
d
o
m
ain
in
d
is
tr
ib
u
ted
ap
p
licatio
n
s
.
T
h
e
y
p
r
o
p
o
s
ed
an
asp
ec
t
o
r
ien
ted
f
r
am
e
w
o
r
k
f
o
r
I
o
T
co
n
tex
t
to
s
o
lv
in
g
th
e
li
m
ita
tio
n
of
t
h
e
ex
is
ti
n
g
p
r
o
to
co
l
in
s
er
v
ice
d
is
co
v
er
y
.
−
Vela
n
[
1
4
]
p
r
esen
ted
a
liter
at
u
r
e
r
ev
ie
w
of
s
er
v
ice
d
is
co
v
e
r
y
in
I
o
T
ap
p
licatio
n
s
.
In
t
h
is
w
o
r
k
,
t
h
e
AOP
w
a
s
u
s
ed
to
ev
alu
ate
t
h
e
r
ec
o
n
f
ig
u
r
atio
n
s
er
v
ice
in
ter
m
s
of
asp
ec
t
m
an
a
g
e
m
e
n
t,
u
p
d
atin
g
th
e
p
ar
a
m
eter
s
r
eq
u
ir
ed
f
o
r
th
e
s
er
v
ice,
an
d
a
d
d
in
g
an
d
r
e
m
o
v
i
n
g
co
m
p
o
n
e
n
ts
.
−
B
alak
r
is
h
n
a
n
an
d
San
g
aia
h
[
1
5
]
p
r
o
p
o
s
ed
an
A
OP
ap
p
r
o
ac
h
to
ad
d
r
ess
th
e
is
s
u
es
i
n
v
o
lv
ed
in
th
e
an
a
l
y
s
is
an
d
tr
ea
t
m
e
n
t
of
d
ata
in
I
o
T
r
e
s
ea
r
ch
.
−
B
an
s
o
d
e
[
1
6
]
em
p
lo
y
s
A
O
P
to
en
h
an
ce
s
y
s
te
m
s
ec
u
r
it
y
an
d
o
p
ti
m
ize
p
er
f
o
r
m
an
ce
w
it
h
i
n
I
o
T
en
v
ir
o
n
m
e
n
t
s
.
−
Kh
ali
f
a
a
n
d
Gu
el
ta
[
1
7
]
p
r
o
p
o
s
ed
an
A
OP
m
o
d
el
in
an
I
o
T
-
b
ased
P
etr
i
n
et
g
r
ap
h
t
h
at
i
n
v
o
lv
es
t
h
e
u
s
e
of
an
asp
ec
t
en
t
it
y
to
s
at
is
f
y
t
h
e
r
eq
u
ir
e
m
e
n
ts
of
th
e
w
eb
s
er
v
ic
es
co
m
p
o
s
itio
n
.
To
h
ig
h
l
ig
h
t
th
e
co
n
tr
ib
u
tio
n
of
th
e
u
s
e
of
A
OP
by
m
icr
o
s
e
r
v
ices
in
I
o
T
.
T
h
er
e
ar
e
s
o
m
e
i
m
p
o
r
tan
t
p
o
in
ts
s
h
ar
ed
by
a
s
p
ec
t
-
o
r
ien
t
ed
d
esig
n
in
th
e
g
o
als
of
m
icr
o
s
er
v
ices
u
tili
ze
d
in
I
o
T
tech
n
o
lo
g
y
,
n
a
m
el
y
:
−
L
i
g
h
t
w
ei
g
h
t
co
m
m
u
n
icatio
n
:
co
m
m
u
n
icatio
n
b
et
w
ee
n
d
if
f
er
en
t
s
en
s
o
r
s
in
I
o
T
tec
h
n
o
lo
g
y
n
ee
d
s
lig
h
t
w
ei
g
h
t
co
m
m
u
n
icat
io
n
,
wh
ich
is
o
f
f
er
ed
by
a
s
p
ec
t
-
o
r
ie
n
ted
d
esig
n
.
−
I
n
d
ep
en
d
en
t
d
ep
lo
y
ab
le
u
n
i
ts
:
f
o
r
m
icr
o
s
er
v
ice
s
u
s
e
s
in
I
o
T
tech
n
o
lo
g
y
,
it
is
v
er
y
i
m
p
o
r
tan
t
th
at
th
e
s
er
v
ices
o
f
f
er
ed
by
ea
c
h
s
en
s
o
r
be
in
d
ep
en
d
en
t
an
d
d
ep
l
o
y
ab
le.
A
s
p
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
in
g
o
f
f
er
s
"
u
n
its
"
n
a
m
ed
asp
ec
t
s
th
at
ar
e
d
ep
lo
y
ab
le
in
d
ep
en
d
en
tl
y
.
−
C
en
tr
alize
d
m
a
n
ag
e
m
e
n
t:
b
o
t
h
I
o
T
tech
n
o
lo
g
y
a
n
d
asp
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
i
n
g
ar
e
b
ased
on
ce
n
tr
al
m
an
a
g
e
m
e
n
t.
−
I
n
d
ep
en
d
en
t
d
ev
elo
p
m
e
n
t
tec
h
n
o
lo
g
ies
.
In
th
i
s
p
ap
er
we
p
r
esen
t
a
f
ir
s
t
atte
m
p
t
to
ap
p
l
y
i
n
g
AOP
in
I
o
T
tech
n
o
lo
g
y
f
o
r
co
n
s
id
er
cr
o
s
s
cu
t
tin
g
co
n
ce
r
n
s
in
I
o
T
tech
n
o
lo
g
y
b
ased
P
etr
i
n
et
m
o
d
el
p
r
esen
ti
n
g
in
d
etail
th
e
h
ar
d
w
ar
e
an
d
s
o
f
t
w
ar
e
i
m
p
le
m
en
ta
tio
n
,
t
h
u
s
o
u
r
co
n
t
r
ib
u
tio
n
f
o
cu
s
e
s
on
s
ep
ar
ati
n
g
all
cr
o
s
s
cu
tt
in
g
co
n
ce
r
n
s
f
r
o
m
de
m
icr
o
s
er
v
ice
s
u
s
ed
by
t
h
e
I
o
T
ap
p
licatio
n
an
d
th
e
s
o
l
u
tio
n
f
o
u
n
d
to
in
teg
r
ate
t
h
e
m
in
Asp
ec
t
co
d
e.
T
h
e
m
et
h
o
d
an
d
p
r
o
p
o
s
ed
alg
o
r
ith
m
,
d
is
c
u
s
s
io
n
w
it
h
a
co
n
clu
s
io
n
ar
e
p
r
o
p
o
s
ed
.
2.
P
RO
P
O
SE
D
AL
G
O
R
I
T
H
M
In
th
i
s
s
ec
tio
n
,
we
in
tr
o
d
u
ce
an
alg
o
r
ith
m
t
h
at
ap
p
lies
th
e
A
OP
co
n
ce
p
t
to
s
ep
ar
ate
c
r
o
s
s
cu
tti
n
g
co
n
ce
r
n
s
o
cc
u
r
r
i
n
g
in
m
icr
o
s
er
v
ices
u
s
ed
f
o
r
I
o
T
s
y
s
t
e
m
s
,
u
s
i
n
g
P
etr
i
n
et
-
b
ased
f
o
r
m
al
s
e
m
a
n
tic
s
.
A
l
g
o
r
ith
m
1
illu
s
tr
ates
t
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
.
Giv
en
as
in
p
u
t
th
r
ee
s
et
L
(
r
ep
r
esen
ti
n
g
s
e
n
s
o
r
s
)
,
A
(
r
ep
r
esen
tin
g
cr
o
s
s
c
u
tti
n
g
co
n
ce
r
n
s
i
m
p
le
m
en
t
in
g
as
an
a
s
p
ec
t
co
d
e)
an
d
μS
(
r
ep
r
e
s
en
tin
g
t
h
e
d
ec
o
m
p
o
s
ed
s
er
v
ices
r
eq
u
e
s
ted
by
u
s
er
s
)
.
T
h
e
alg
o
r
ith
m
is
b
ased
on
g
e
n
er
atin
g
t
h
e
d
ata
co
llected
by
t
h
e
s
e
n
s
o
r
s
:
−
(
,
)
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
E
n
h
a
n
ci
n
g
cro
s
s
-
cu
ttin
g
co
n
c
ern
s
in
th
e
in
tern
et
o
f th
in
g
s
w
ith
a
p
p
lyin
g
a
s
p
ec
t
…
(
K
h
a
lifa
F
a
tih
a
)
747
First
th
e
d
ata
is
co
llected
a
n
d
r
ec
o
r
d
ed
b
ased
on
th
e
ty
p
e
an
d
r
eq
u
ir
em
e
n
t
s
of
th
e
s
en
s
o
r
s
,
we
h
av
e:
.
T
h
is
f
u
n
ctio
n
allo
w
d
at
a
to
be
s
to
r
ed
in
a
d
atab
ase
a
cc
o
r
d
in
g
to
t
h
e
s
e
n
s
o
r
'
s
I
D,
t
y
p
e,
a
n
d
s
p
ec
if
ic
r
eq
u
ir
e
m
en
ts
:
(
′
,
)
(
2
)
T
h
is
f
u
n
ctio
n
en
ab
les
to
cr
ea
te
s
er
v
ices
as
n
ee
d
ed
.
Fo
r
ex
a
m
p
le,
if
a
te
m
p
er
atu
r
e
co
n
tr
o
l
s
e
r
v
ice
is
r
eq
u
ir
ed
,
th
is
s
er
v
ice
w
i
ll
be
au
to
m
at
ica
ll
y
ad
d
ed
:
(
,
S
,
)
(
3
)
Af
ter
d
ata
co
llectio
n
an
d
s
er
v
i
ce
p
r
o
ce
s
s
in
g
t
h
e
al
g
o
r
ith
m
f
i
n
alize
s
t
h
e
tr
an
s
itio
n
p
o
in
ts
in
th
e
P
etr
i
n
et
g
r
ap
h
(
lin
es
15
–
2
0
)
.
ℎ
=
ℎ
.
(
4
)
A
lg
o
r
ith
m
1
.
AOP
f
o
r
I
o
T
b
as
ed
P
e
tr
i
n
et
g
r
a
p
h
Input:
Graphstart
(Petri
graph
net
start),
S
(Set
of
available
mi
c
ro
se
rv
ic
es
)
→
S
=
{
S
1
,
S
2
,
S
3
,
.
.
,
S
n
}
,
A
(Set
of
Aspects)
→
A
=
{
A
1
,
A
2
,
A
3
,
.
.
,
A
n
}
,
L
(Set
of
Sensors)
→
L=
{
1
,
2
,
3
,
…
.
.
,
}
n
(maximum
number
of
Sensor)
A
Sensor
S
a
=
(
D
a
,
T
a
,
A
a
,
W
a
,
ID
a
,
OD
a
,
S
a
)
,
Data
D
a
=
{
D
1
,
D
2
,
D
3
,
.
.
,
D
n
}
Output:
Graphend
(completed
or
failure)
1:
Graphend=empty;
2:
ID
a
∈
D
a
3:
m
=
∑Services
∈
S
//
A
mi
cr
os
er
vi
ce
can
i
nt
er
ve
ne
in
one
or
more
sensors.
4:
0
=null
5:
for
i=1
to
n
do
L=
{
1
,
2
,
3
,
…
.
.
,
}
6:
for
each
sensor
∈
do:
7:
function
Get
-
data
(
ID
i
,
OD
i
)
8
:
function
AddService
(
i
,
)
9:
for
each
∈
do
10:
if
(
.
)
=
(
.
)
then
//
:
Crosscutting
Concerns
11:
function
AspectADD
(
,
,
)
12:
end
if
13:
end
for
14:
end
for
15:
OutputParameters=OutputParameters
∪
.
16:
AddService
(
i
,
)
17:
Graphend=
Graphend.proceed
18:
end
for
19:
Graphend=
Graphend.Completed
20:
return
failure
2
.
1
.
L
a
y
er
dia
g
ra
m
Fig
u
r
e
1
s
h
o
w
s
o
u
r
p
r
o
p
o
s
ed
A
OP
lay
er
-
b
ased
I
o
T
a
r
ch
itectu
r
e,
w
h
er
e
asp
ec
ts
f
o
r
m
ic
r
o
s
er
v
ices
th
at
ar
e
r
ea
d
il
y
r
eu
s
ab
le
in
I
o
T
a
p
p
licatio
n
s
can
be
g
e
n
er
at
ed
,
th
e
d
ev
ice
la
y
er
,
co
m
m
u
n
icatio
n
la
y
er
,
d
ata
ac
q
u
is
itio
n
la
y
er
,
asp
ec
t
-
o
r
ien
ted
ab
s
tr
ac
t
la
y
er
,
a
n
d
ap
p
lic
atio
n
la
y
er
ar
e
t
h
e
f
i
v
e
la
y
er
s
th
at
m
a
k
e
up
t
h
is
la
y
er
d
iag
r
a
m
.
T
h
e
d
ev
ice
lay
er
co
n
s
is
ts
of
s
en
s
o
r
s
an
d
ac
tu
ato
r
s
th
at
in
ter
ac
t
w
it
h
th
e
I
o
T
ar
ea
n
et
w
o
r
k
to
co
llect
d
ata
e.
g
.
,
te
m
p
er
atu
r
e
an
d
h
u
m
id
it
y
,
w
h
ic
h
w
ill
be
s
en
t
to
t
h
e
d
ata
ac
q
u
is
i
tio
n
la
y
er
th
r
o
u
g
h
th
e
co
m
m
u
n
icatio
n
la
y
er
v
ia
th
e
t
r
an
s
m
is
s
io
n
co
n
tr
o
l
p
r
o
to
co
l
(
T
C
P
)
an
d
u
s
er
d
atag
r
am
p
r
o
to
co
l
(
UDP
)
tr
an
s
f
er
p
r
o
to
co
ls
.
T
h
e
d
ata
ac
q
u
is
itio
n
a
n
d
p
r
o
ce
s
s
in
g
la
y
er
co
n
s
is
t
s
of
a
m
icr
o
co
n
tr
o
ller
t
h
at
all
o
w
s
r
ea
d
d
ata
f
r
o
m
th
e
s
e
n
s
o
r
s
,
co
n
tr
o
ls
t
h
e
ac
tu
a
t
o
r
s
,
an
d
cr
ea
tes
m
icr
o
s
er
v
ice
s
[
1
8
]
.
T
h
e
d
ev
ice
la
y
er
co
n
s
is
t
s
of
p
h
y
s
ical
d
ev
ice
s
b
elo
n
g
in
g
to
th
e
I
o
T
en
v
ir
o
n
m
en
t,
w
h
ic
h
co
llect
an
d
th
e
y
ca
n
also
ch
an
g
e
t
h
e
s
t
ate
of
th
e
en
v
ir
o
n
m
en
t.
T
he
co
llected
d
ata
w
ill
be
tr
an
s
m
itted
to
th
e
d
ata
ac
q
u
is
itio
n
s
y
s
te
m
t
h
r
o
u
g
h
t
h
e
co
m
m
u
n
icatio
n
la
y
er
u
s
in
g
t
h
e
t
w
o
tr
an
s
f
er
p
r
o
to
co
ls
,
T
C
P
an
d
/o
r
UDP
[
1
9
]
.
In
th
i
s
la
y
er
d
iag
r
a
m
,
o
u
r
p
r
o
p
o
s
ed
s
y
s
te
m
u
tili
ze
s
a
w
ea
v
i
n
g
p
r
o
ce
s
s
u
s
in
g
t
h
e
Asp
ec
tJ
of
th
e
AOP
p
r
o
g
r
am
m
i
n
g
lan
g
u
ag
e,
w
h
i
ch
is
an
u
n
d
er
la
y
b
et
w
ee
n
th
e
asp
ec
t
la
y
er
an
d
m
icr
o
s
er
v
ices
la
y
er
.
T
h
is
u
n
d
er
la
y
er
allo
w
s
y
o
u
to
cr
e
ate
an
d
ad
d
asp
ec
ts
in
th
e
asp
ec
t
lay
er
to
s
ep
ar
ate
cr
o
s
s
-
c
u
tti
n
g
co
n
ce
r
n
s
th
a
t
o
cc
u
r
in
d
if
f
er
en
t
m
icr
o
s
er
v
ic
es
of
th
e
I
o
T
ap
p
licatio
n
th
r
o
u
g
h
t
h
e
w
ea
v
in
g
p
r
o
ce
s
s
.
Fi
n
all
y
,
th
e
i
n
f
o
r
m
atio
n
w
il
l
be
s
e
n
t
to
t
h
e
clie
n
t
by
t
h
e
ap
p
licatio
n
la
y
er
in
th
e
f
o
r
m
of
w
eb
s
er
v
ices
v
ia
h
ttp
,
r
est,
co
ap
,
an
d
m
es
s
ag
e
q
u
eu
e
tele
m
etr
y
tr
a
n
s
p
o
r
t
(
MQ
T
T
)
p
r
o
to
co
ls
[
2
0
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
3
,
No
v
e
m
b
er
2
0
2
5
:
745
-
753
748
Fig
u
r
e
1.
L
a
y
er
d
iag
r
a
m
of
AOP
p
r
o
p
o
s
ed
m
o
d
el
in
I
o
T
3.
M
E
T
H
O
D
In
th
i
s
s
ec
t
io
n
,
we
e
x
p
lain
h
o
w
I
o
T
tech
n
o
lo
g
y
u
s
es
t
h
e
A
OP
p
ar
ad
ig
m
to
co
n
s
id
er
cr
o
s
s
-
c
u
tti
n
g
co
n
ce
r
n
s
in
s
e
n
s
o
r
m
icr
o
s
er
v
ices
by
e
m
p
lo
y
i
n
g
a
P
etr
i
n
et
g
r
ap
h
as
th
e
co
n
ce
p
tu
al
m
o
d
el.
We
g
iv
e
s
o
m
e
d
ef
in
i
tio
n
s
to
h
elp
illu
s
tr
ate
t
h
e
co
n
ce
p
ts
th
at
ar
e
n
ec
e
s
s
ar
y
b
ac
k
g
r
o
u
n
d
in
f
o
r
m
atio
n
.
3
.
1
.
Asp
ec
t
o
rient
ed
m
o
del
f
o
r
inte
rnet
of
t
hin
g
s
I
n
tr
o
d
u
cin
g
asp
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
i
n
g
in
I
o
T
tech
n
o
lo
g
y
f
o
r
in
ter
p
r
etin
g
cr
o
s
s
-
cu
tti
n
g
co
n
ce
r
n
s
in
s
e
n
s
o
r
m
icr
o
s
er
v
ices
u
s
i
n
g
th
e
P
etr
i
n
et
m
o
d
el
f
o
c
u
s
e
s
on
f
iv
e
p
o
in
ts
:
as
s
h
o
w
n
in
Fi
g
u
r
e
2.
−
Data
en
tr
y
:
I
o
T
s
en
s
o
r
s
co
llec
t
d
ata
f
r
o
m
th
eir
co
v
er
ar
ea
.
T
h
e
co
llectio
n
of
d
ata
d
ep
en
d
s
on
s
o
m
e
f
ac
to
r
s
,
s
u
c
h
as
t
h
e
r
an
g
e
of
ar
ea
n
ee
d
s
an
d
th
e
u
s
er
r
eq
u
est.
Fo
r
ex
a
m
p
le,
in
t
h
e
ap
p
licatio
n
of
I
o
T
tech
n
o
lo
g
y
in
ag
r
icu
l
tu
r
e,
we
n
ee
d
t
h
e
u
s
e
of
d
ata
on
te
m
p
er
atu
r
e,
h
u
m
id
it
y
,
an
d
w
ater
in
g
.
−
Data
a
n
al
y
s
is
:
t
o
u
til
ize
th
e
d
ata
co
llected
in
th
e
I
o
T
s
y
s
te
m
,
th
e
d
ata
m
u
s
t
be
w
it
h
i
n
th
e
ac
ce
p
tab
le
r
an
g
e.
T
h
e
u
s
er
r
eq
u
est
s
en
d
s
r
eq
u
ests
to
th
e
s
en
s
o
r
n
et
w
o
r
k
to
d
etec
t
tem
p
er
at
u
r
e
v
alu
e
s
w
it
h
in
a
p
r
ed
ef
in
ed
in
ter
v
a
l
(
T
em
p
MI
N
a
n
d
T
em
p
MA
X)
.
E
ac
h
d
ev
ice
ca
n
i
s
s
u
e
s
e
v
er
al
r
eq
u
e
s
ts
w
i
th
d
if
f
e
r
en
t
p
ar
a
m
eter
s
.
An
ex
a
m
p
le
of
a
q
u
er
y
s
en
t
by
a
m
o
n
ito
r
in
g
d
ev
ice:
f
in
d
al
l
s
en
s
o
r
s
w
it
h
te
m
p
er
at
u
r
e
v
al
u
es
in
t
h
e
r
an
g
e
{1
0
–
1
2
}.
−
Asp
ec
ts
cr
ea
tio
n
:
t
h
i
s
s
tep
p
er
m
it
s
asp
ec
ts
to
be
ad
d
ed
.
A
s
p
ec
ts
ar
e
th
e
m
o
s
t
i
m
p
o
r
tan
t
e
n
titi
es
in
asp
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
in
g
b
ec
a
u
s
e
th
e
y
p
er
m
i
t
t
h
e
s
ep
ar
atio
n
a
n
d
r
eu
s
e
of
th
e
cr
o
s
s
-
cu
t
tin
g
c
o
n
ce
r
n
s
e
x
i
s
ti
n
g
in
th
e
m
icr
o
s
er
v
ices
of
t
h
e
s
e
n
s
o
r
co
d
e.
−
Data
w
ea
v
i
n
g
w
it
h
a
s
p
ec
t:
a
s
p
ec
ts
w
ill
be
w
ea
v
ed
d
y
n
a
m
ical
l
y
w
it
h
t
h
e
f
i
n
al
co
d
e
b
ef
o
r
e
th
e
tr
an
s
m
is
s
io
n
of
d
ata
to
th
e
s
in
k
.
−
Data
tr
an
s
m
is
s
io
n
:
t
he
co
lle
cted
an
d
an
a
l
y
ze
d
d
ata
m
u
s
t
u
n
d
er
g
o
t
h
e
p
r
o
ce
s
s
i
n
g
r
eq
u
ir
ed
by
t
h
e
m
icr
o
s
er
v
ice
s
,
an
d
f
in
al
l
y
,
it
w
il
l
be
tr
an
s
m
itted
to
th
e
w
eb
s
er
v
ice.
Def
i
n
itio
n
1:
a
s
en
s
o
r
(
S)
is
d
ef
i
n
ed
by
a
7
tu
p
le.
−
S
=
(
D
,
TP
,
A
,
DA
,
ID
,
OD
,
S
)
,
w
h
er
e,
−
D
=
{
D
1
,
D
2
,
D
3
,
…
,
D
n
}
r
ep
r
esen
ts
th
e
d
ata
co
llected
,
−
TP
=
{
TP
1
,
TP
2
,
TP
3
,
…
,
TP
n
}
r
ep
r
esen
ts
th
e
p
r
o
to
co
l
u
s
ed
to
tr
an
s
m
i
t
d
ata
to
th
e
s
i
n
k
,
−
A
=
{
A
1
,
A
2
,
A
3
,
…
,
A
n
}
r
ep
r
esen
ts
asp
ec
ts
t
h
at
co
n
s
i
d
er
cr
o
s
s
cu
ttin
g
co
n
ce
r
n
s
in
m
icr
o
s
er
v
ice
s
u
s
ed
by
th
e
s
e
n
s
o
r
s
,
−
DA
⊆
(
D
×
TP
)
∪
(
TP
×
D
)
d
ir
ec
ted
ar
cs
,
−
ID
:
i
n
p
u
t
d
ata
,
−
OD
:
o
u
tp
u
t
d
ata
af
ter
a
n
al
y
s
is
a
n
d
tr
ea
t
m
en
t
,
−
S
:
s
en
s
o
r
m
icr
o
s
er
v
ice
s
.
Def
i
n
itio
n
2:
w
ea
v
i
n
g
p
r
o
ce
s
s
es
(
W
P
)
.
E
ac
h
asp
ec
t
A
i
∈
A
is
r
ep
r
esen
ted
by
th
e
tu
p
le
A
i
=
<
CCC
,
J
poi
n
t
,
Pc
ut
,
A
dv
>
,
−
CCC
:
r
ep
r
esen
ts
th
e
cr
o
s
s
cu
t
tin
g
c
o
n
ce
r
n
s
t
h
at
o
cc
u
r
in
m
icr
o
s
er
v
ices
,
−
A
dv
:
is
a
f
u
n
ct
io
n
alit
y
d
esi
g
n
ed
to
en
ca
p
s
u
la
tes
CCC
,
−
J
poi
n
t
:
s
p
ec
if
ic
p
o
in
t
s
in
t
h
e
m
icr
o
s
e
r
v
ices
co
d
e
th
at
co
r
r
esp
o
n
d
to
th
e
asp
ec
t
’
s
p
o
in
tc
u
ts
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
E
n
h
a
n
ci
n
g
cro
s
s
-
cu
ttin
g
co
n
c
ern
s
in
th
e
in
tern
et
o
f th
in
g
s
w
ith
a
p
p
lyin
g
a
s
p
ec
t
…
(
K
h
a
lifa
F
a
tih
a
)
749
−
Pc
ut
:
is
a
f
u
n
ct
io
n
t
h
at
co
n
n
ec
ts
a
j
o
in
p
o
in
t
to
th
e
ad
v
ice
.
A
w
ea
v
in
g
p
r
o
ce
s
s
estab
lis
h
es
an
ex
p
licit
co
n
n
ec
tio
n
b
etw
ee
n
each
S
an
d
th
e
se
cr
o
s
s
-
cu
tti
n
g
co
n
ce
r
n
s
f
u
n
ctio
n
alit
y
CCC
.
W
P
=
ID
i
→
μ
S
i
∆
{
A
1
,
A
2
,
A
3
.
.
,
A
n
}
→
OD
i
−
T
h
e
WP
h
av
e
as
in
p
u
t:
ID
i
(
in
p
u
t
d
ata
of
s
en
s
o
r
n
u
m
b
er
“
i”)
,
−
an
d
as
o
u
tp
u
t
p
ar
a
m
e
ter
:
ID
o
(
o
u
tp
u
t
d
ata
of
s
e
n
s
o
r
n
u
m
b
er
“
i”)
.
T
h
e
WP
p
er
m
it
s
to
w
ea
v
e
all
asp
ec
ts
{
1
,
2
,
3
..,
}
w
it
h
each
S
o
f
f
er
ed
by
s
e
n
s
o
r
s
.
T
h
e
w
ea
v
in
g
p
r
o
ce
s
s
can
be
ex
ec
u
ted
in
th
r
ee
t
y
p
e
s
:
−
A
WP
t
y
p
e
«
b
ef
o
r
e
»
:
in
t
h
is
t
y
p
e
th
e
ad
v
ice
is
e
x
ec
u
ted
b
ef
o
r
e
th
e
th
e
m
icr
o
s
er
v
ice
S
i
.
−
An
WP
ty
p
e
«
af
ter
»
:
t
h
e
ad
v
ic
e
is
ex
ec
u
ted
af
ter
t
h
e
ex
ec
u
ti
o
n
of
th
e
m
icr
o
s
er
v
ice
S
i
.
−
An
WP
ty
p
e
«
ar
o
u
n
d
»
:
th
e
ad
v
ice
ex
e
u
ted
ar
o
u
n
d
e
x
ec
u
tio
n
of
th
e
m
icr
o
s
er
v
ice
S
a
.
Fig
u
r
e
2
.
A
OP
ar
ch
itect
u
r
al
I
o
T
P
etr
i
n
et
g
r
ap
h
In
Fi
g
u
r
e
3,
we
il
lu
s
tr
ate
a
d
ia
g
r
a
m
of
o
u
r
A
OP
m
o
d
el
p
r
o
p
o
s
ed
f
o
r
I
o
T
tech
n
o
lo
g
y
,
t
h
is
f
u
n
ctio
n
al
d
iag
r
a
m
s
h
o
w
s
h
o
w
o
u
r
m
o
d
el
u
s
es
AOP
to
m
a
n
a
g
e
co
r
e
f
u
n
c
tio
n
alit
y
.
Da
ta
is
i
n
itiall
y
co
llected
by
I
o
T
s
en
s
o
r
s
ac
co
r
d
in
g
to
th
e
p
ar
a
m
eter
s
r
eq
u
ir
ed
(
e.
g
.
,
tem
p
er
atu
r
e
r
ea
d
in
g
s
)
.
T
h
e
d
ata
is
th
en
f
ilter
ed
an
d
an
al
y
ze
d
by
th
e
m
icr
o
s
er
v
ic
es
la
y
er
ac
co
r
d
in
g
to
co
n
te
x
tu
al
d
e
m
a
n
d
s
or
t
h
r
esh
o
ld
le
v
els.
Asp
ec
ts
h
o
ld
cr
o
s
s
cu
tti
n
g
co
n
ce
r
n
s
o
cc
u
r
e
d
in
th
e
ap
p
licatio
n
,
an
d
th
ey
ar
e
i
m
p
le
m
e
n
ted
an
d
d
ep
l
o
y
ed
s
ep
ar
atel
y
to
p
r
o
m
o
te
m
o
d
u
lar
it
y
a
n
d
co
d
e
r
eu
s
ab
ilit
y
.
W
ea
v
in
g
p
r
o
ce
s
s
,
p
r
o
v
id
ed
by
th
e
A
OP
,
in
te
g
r
ates
th
o
s
e
co
n
ce
r
n
s
in
to
th
e
p
r
i
m
ar
y
ap
p
licatio
n
by
i
n
tr
o
d
u
cin
g
t
h
eir
b
eh
av
io
r
at
s
p
ec
if
ic
p
o
in
ts
in
t
h
e
ex
e
cu
tio
n
(
j
o
in
tp
o
in
t,
p
o
in
tcu
t
a
n
d
ad
v
ice)
,
b
ased
on
th
e
in
f
o
r
m
at
io
n
lo
g
g
ed
an
d
on
th
e
s
etu
p
of
t
h
e
f
in
a
l
ap
p
licatio
n
.
Fig
u
r
e
3
.
Fu
n
c
tio
n
ali
t
y
d
ia
g
r
am
of
a
b
asic
A
OP
m
o
d
el
f
o
r
I
o
T
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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2
0
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I
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t J
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o
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f
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&
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m
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ed
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ed
Sy
s
t
,
Vo
l.
14
,
No
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3
,
No
v
e
m
b
er
2
0
2
5
:
745
-
753
750
4.
RE
SU
L
T
S
AND
D
I
SCU
SS
I
O
N
4
.
1
.
E
x
peri
m
ent
a
l
a
na
ly
s
is
Ou
r
A
OP
m
o
d
el
I
o
T
is
i
m
p
le
m
en
ted
an
d
d
e
v
elo
p
ed
by
t
h
e
J
av
a
lan
g
u
ag
e
u
s
in
g
th
e
s
o
f
t
war
e
E
clip
s
e
Ku
r
a,
in
s
p
ir
ed
f
r
o
m
[
2
1
]
,
w
h
i
ch
u
tili
ze
s
a
g
ate
w
a
y
f
o
r
th
e
I
o
T
,
th
e
A
s
p
ec
tJ
[
2
2
]
lan
g
u
a
g
e
f
o
r
asp
ec
t
-
o
r
ien
ted
p
r
o
g
r
am
m
i
n
g
,
an
d
by
u
s
i
n
g
th
e
E
cl
ip
s
e
P
ah
o
MQ
T
T
li
b
r
ar
y
,
t
h
e
s
o
f
t
w
ar
e
K
u
r
a
p
r
o
v
id
es
a
m
ea
n
s
of
co
m
m
u
n
icatio
n
f
o
r
t
h
o
s
e
ap
p
li
ca
tio
n
s
to
tak
e
th
e
d
ata
g
a
th
er
ed
f
r
o
m
t
h
e
s
en
s
o
r
s
to
t
h
e
g
ate
w
a
y
by
t
h
e
MQ
T
T
b
r
o
k
er
s
an
d
w
eb
s
er
v
ices
[
2
3
]
-
[
2
5
]
.
4
.
2
.
I
llu
s
t
ra
t
io
n
a
nd
dis
cus
s
i
o
n
An
ex
a
m
p
le
w
ill
be
g
i
v
en
in
th
is
s
ec
tio
n
to
b
etter
illu
s
tr
ate
th
e
p
r
o
p
o
s
ed
A
OP
m
o
d
el
f
o
r
th
e
I
o
T
-
b
ased
P
etr
i
n
et
g
r
ap
h
.
C
o
n
s
i
d
er
,
f
o
r
ex
a
m
p
le,
a
s
m
ar
t
ag
r
icu
lt
u
r
e
ar
ea
eq
u
ip
p
ed
w
it
h
d
ata
co
llectio
n
f
o
r
te
m
p
er
atu
r
e
co
n
tr
o
l,
g
a
s
co
n
tr
o
l,
s
m
ar
t
w
ater
s
er
v
ice,
s
m
ar
t
w
ea
t
h
er
s
er
v
ice,
a
n
d
en
er
g
y
m
an
ag
e
m
e
n
t
s
er
v
ice.
C
o
n
s
id
er
th
e
f
o
llo
w
i
n
g
s
er
v
ic
es
th
at
ca
n
be
u
s
ed
in
t
h
i
s
ag
r
i
cu
lt
u
r
e
ar
ea
:
a.
T
em
p
er
atu
r
e
m
o
n
ito
r
in
g
s
er
v
i
ce
:
m
an
a
g
e
s
an
d
p
r
o
ce
s
s
es
t
h
e
te
m
p
er
atu
r
e
m
o
n
ito
r
in
g
(
T
M)
d
ata
.
b.
W
ea
th
er
s
er
v
ice:
m
an
a
g
e
s
an
d
p
r
o
ce
s
s
es
th
e
w
i
n
d
s
p
ee
d
(
W
S)
d
ata
.
c.
W
ater
in
g
s
er
v
ice:
m
an
a
g
es
a
n
d
p
r
o
ce
s
s
es
th
e
s
o
il
m
o
i
s
t
u
r
e
(
SM)
d
ata
.
d.
L
i
g
h
tin
g
s
er
v
ice:
m
an
a
g
es
a
n
d
p
r
o
ce
s
s
es
th
e
n
at
u
r
al
li
g
h
t
m
e
asu
r
ed
(
NL
M)
d
ata
.
e.
E
n
er
g
y
m
a
n
a
g
e
m
e
n
t
s
er
v
ice:
m
an
a
g
e
s
an
d
p
r
o
ce
s
s
es
t
h
e
ele
ctr
ical
v
o
ltag
e
m
ea
s
u
r
ed
(
E
VM
)
d
ata
.
L
et
co
n
s
id
er
f
iv
e
t
y
p
es
of
s
en
s
o
r
s
:
S
1
,
S
2
,
S
3
,
S
4
,
a
n
d
S
5
an
d
let
r
e
m
e
m
b
er
t
h
at
s
en
s
o
r
is
d
ef
i
n
ed
b
y
:
S
(
D
,
TP
,
DA
,
,
ID
,
OD
,
S
)
.
A
ll
i
n
f
o
r
m
atio
n
is
g
iv
e
n
in
T
ab
le
1
.
T
ab
le
1.
Sen
s
o
r
s
in
f
o
r
m
atio
n
S
e
n
so
r
t
y
p
e
D
a
t
a
(
D
)
ID
S
A
sp
e
c
t
c
r
o
ss
-
c
u
t
t
i
n
g
c
o
n
c
e
r
n
s
S
1
TM
TM
{0
-
1
0
0
}/
°
D
a
t
a
c
e
n
t
e
r
e
d
on
t
e
mp
e
r
a
t
u
r
e
If
T
e
m
<
1
0
°
or
T
e
m
>
4
0
°
t
h
e
n
c
a
l
l
A1
S
2
WS
WS
{0
,
.
1
5
}
/
ms
D
a
t
a
c
e
n
t
e
r
e
d
on
w
i
n
d
sp
e
e
d
If
w
e
a
t
h
e
r
st
a
t
e
=
W
S
c
a
l
l
A2
S
3
SM
SM
{0
–
1
0
0
%}
D
a
t
a
c
e
n
t
e
r
e
d
on
so
i
l
me
a
su
r
e
If
S
M
<
3
0
°
c
a
l
l
A3
(
a
l
e
r
t
t
h
r
e
sh
o
l
d
)
S
4
N
L
M
N
L
M
{1
,
1
0
,
3
0
,
1
0
0
}
m
i
l
l
e
l
u
x
L
i
g
h
t
i
n
g
se
r
v
c
i
e
If
N
L
M
<
1
0
c
a
l
l
A4
f
o
r
su
p
p
l
e
me
n
t
a
l
l
i
g
h
t
i
n
g
S
5
EV
M
EV
M
{0
-
250
v}
En
e
r
g
y
man
a
g
e
me
n
t
se
r
v
c
i
e
If
EV
M
>
2
5
0
c
a
l
l
se
r
v
i
c
e
A5
Un
d
er
s
ta
n
d
in
g
th
e
co
n
tr
ib
u
tio
n
of
asp
ec
t
-
o
r
ie
n
ted
p
r
o
g
r
a
m
m
i
n
g
to
I
o
T
a
p
p
licatio
n
s
n
ec
e
s
s
itate
s
th
e
ca
r
ef
u
l
d
e
f
in
itio
n
of
a
s
p
ec
t
en
titi
e
s
an
d
th
eir
r
o
le
in
s
ep
ar
atin
g
cr
o
s
s
c
u
tt
in
g
co
n
ce
r
n
s
w
ith
in
t
h
e
m
icr
o
s
er
v
ice
s
.
T
h
e
asp
ec
ts
a
r
e
p
r
o
g
r
am
m
ed
w
it
h
t
h
e
A
s
p
ec
tJ
.
T
h
ese
asp
ec
ts
h
av
e
b
ee
n
u
tili
ze
d
to
th
e
in
f
o
r
m
atio
n
in
T
ab
le
1.
A
lth
o
u
g
h
b
o
th
T
C
P
an
d
UDP
t
r
an
s
m
is
s
io
n
p
r
o
to
co
ls
can
be
u
s
ed
in
I
o
T
s
y
s
te
m
s
,
we
h
av
e
u
s
ed
o
n
l
y
th
e
T
C
P
p
r
o
to
co
l
in
th
is
w
o
r
k
.
T
h
e
MQ
T
T
p
r
o
to
co
l
w
a
s
e
m
p
lo
y
ed
to
en
ab
le
co
m
m
u
n
icatio
n
b
et
w
ee
n
th
e
s
en
s
o
r
s
an
d
th
e
e
n
d
u
s
er
.
In
o
r
d
er
to
u
n
d
er
s
ta
n
d
t
h
e
co
n
tr
ib
u
tio
n
of
ap
p
l
y
i
n
g
asp
ec
t
s
f
o
r
s
ep
ar
ate
cr
o
s
s
cu
tti
n
g
co
n
ce
r
n
s
in
t
h
e
I
o
T
ap
p
licatio
n
,
Fig
u
r
e
4
d
is
p
la
y
s
a
b
ar
g
r
ap
h
th
at
p
r
o
v
id
es
a
s
tatis
tica
l
r
ep
r
esen
tatio
n
of
th
e
u
s
e
of
asp
ec
ts
in
an
I
o
T
ap
p
licatio
n
.
To
s
u
m
up,
ap
p
ly
i
n
g
a
s
p
ec
t
-
o
r
ie
n
ted
p
r
o
g
r
a
m
m
i
n
g
in
I
o
T
ap
p
licatio
n
s
w
it
h
t
h
e
A
s
ec
p
tJ
lan
g
u
a
g
e
h
a
s
s
h
o
w
n
a
co
n
s
id
e
r
ab
le
in
cr
ea
s
e
in
r
eu
s
ab
ili
t
y
a
n
d
m
o
d
u
lar
it
y
,
w
h
ic
h
ar
e
k
e
y
f
ac
to
r
s
co
n
tr
ib
u
ti
n
g
to
a
h
ig
h
er
lev
el
of
p
r
o
g
r
a
m
m
i
n
g
q
u
alit
y
.
Fig
u
r
e
4.
C
o
d
e
r
eu
s
ab
ilit
y
in
Asp
ec
tJ
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
I
SS
N:
2089
-
4864
E
n
h
a
n
ci
n
g
cro
s
s
-
cu
ttin
g
co
n
c
ern
s
in
th
e
in
tern
et
o
f th
in
g
s
w
ith
a
p
p
lyin
g
a
s
p
ec
t
…
(
K
h
a
lifa
F
a
tih
a
)
751
4
.
3
.
Rela
t
iv
e
perf
o
rm
a
nce
a
na
ly
s
is
of
pro
g
ra
m
m
i
ng
m
et
ho
ds
in
inte
r
net
of
t
hin
g
s
I
o
T
ap
p
licatio
n
s
o
f
te
n
r
el
y
on
a
lar
g
e
n
u
m
b
er
of
s
e
n
s
o
r
s
o
p
er
atin
g
u
n
d
er
li
m
ited
r
eso
u
r
ce
s
p
ar
ticu
lar
l
y
m
e
m
o
r
y
a
n
d
e
n
er
g
y
.
Am
o
n
g
th
e
s
e
co
n
s
tr
ai
n
ts
,
m
e
m
o
r
y
a
n
d
en
er
g
y
co
n
s
u
m
p
tio
n
ar
e
esp
ec
iall
y
cr
itical.
w
h
e
n
t
h
ese
s
e
n
s
o
r
s
a
r
e
d
ep
lo
y
ed
u
s
in
g
o
b
j
ec
t
-
o
r
ien
ted
p
r
o
g
r
a
m
m
i
n
g
(
O
OP
)
,
t
he
OOP
h
an
d
le
th
e
cr
o
s
s
cu
tti
n
g
co
n
ce
r
n
s
by
d
u
p
licatin
g
t
h
e
B
u
s
in
e
s
s
lo
g
ic
ac
r
o
s
s
m
u
lt
ip
le
m
o
d
u
le
s
.
T
h
is
lead
s
to
lag
er
co
d
eb
ase,
in
cr
ea
s
ed
C
P
U
u
s
ag
e
an
d
co
n
s
eq
u
e
n
tl
y
h
ig
h
er
m
e
m
o
r
y
co
n
s
u
m
p
tio
n
an
d
en
er
g
y
co
n
s
u
m
p
tio
n
,
v
alu
e
s
p
er
p
er
ce
n
tag
e
is
s
h
o
wn
in
Fig
u
r
e
5
an
d
T
ab
le
2.
Fig
u
r
e
5.
T
h
e
b
en
ch
m
ar
k
m
et
h
o
d
s
co
m
p
ar
is
o
n
T
ab
le
2
.
C
o
m
p
ar
is
o
n
of
m
e
m
o
r
y
co
n
s
u
m
p
tio
n
M
e
t
h
o
d
s
OOP
(
%)
A
O
P
(
%)
M
e
mo
r
y
c
o
n
su
m
p
t
i
o
n
1
0
0
60
Ex
e
c
u
t
i
o
n
e
f
f
i
c
i
e
n
c
y
1
0
0
80
C
o
d
e
r
e
d
u
n
d
a
n
c
y
1
2
0
1
5
.
3
S
c
a
l
a
b
i
l
i
t
y
in
I
o
T
s
y
st
e
ms
60
80
Usi
n
g
t
h
e
c
u
r
r
en
t
A
OP
p
r
o
g
r
am
m
in
g
m
et
h
o
d
,
th
e
m
e
m
o
r
y
c
o
n
s
u
m
p
tio
n
is
lo
w
er
d
u
e
to
its
m
o
d
u
lar
asp
ec
t
d
esig
n
up
to
60%
co
m
p
ar
ed
by
OOP
w
h
ich
is
h
i
g
h
er
b
ec
au
s
e
of
t
h
e
d
u
p
licated
lo
g
ic
ac
r
o
s
s
f
in
a
l
co
d
e
ap
p
r
o
ac
h
in
g
to
1
0
0
%
u
s
e
of
m
e
m
o
r
y
.
T
h
e
ex
ec
u
tio
n
ef
f
ici
en
c
y
in
a
s
i
m
u
la
tio
n
of
an
I
o
T
ap
p
licatio
n
,
last
in
g
10
m
i
n
u
tes
an
d
u
s
i
n
g
500
s
en
s
o
r
s
w
it
h
a
r
ea
d
in
g
e
v
er
y
5
s
ec
o
n
d
s
,
w
as
ev
a
lu
ated
u
s
i
n
g
J
av
a
f
o
r
OOP
an
d
Asp
ec
tJ
f
o
r
A
OP
.
T
h
e
r
esu
lt
s
s
h
o
w
ed
t
h
at
e
x
ec
u
t
io
n
ti
m
e
was
s
i
g
n
if
ican
t
l
y
h
i
g
h
er
in
th
e
OOP
m
o
d
el
d
u
e
to
r
ed
u
n
d
an
t
lo
g
ic.
In
co
n
tr
ast,
th
e
in
cr
ea
s
e
in
r
eu
s
ab
ilit
y
a
n
d
m
o
d
u
lar
it
y
in
t
h
e
A
OP
a
p
p
r
o
ac
h
en
ab
led
a
r
ed
u
ctio
n
in
e
x
ec
u
tio
n
ti
m
e,
d
ec
r
ea
s
in
g
f
r
o
m
100%
to
8
0
%.
5.
CO
NCLU
SI
O
N
Asp
ec
t
A
OP
en
ab
les
b
etter
s
e
p
ar
atio
n
of
cr
o
s
s
cu
tti
n
g
co
n
c
er
n
s
f
r
o
m
t
h
e
m
ai
n
ap
p
licatio
n
co
d
e
by
en
ca
p
s
u
lati
n
g
th
e
m
in
to
m
o
d
u
lar
asp
ec
ts
.
In
th
is
r
esear
ch
,
we
d
e
m
o
n
s
tr
ate
th
at
ap
p
l
y
i
n
g
A
OP
in
I
o
T
ap
p
licatio
n
s
co
m
p
ar
ed
to
OO
P
can
lead
to
a
r
ed
u
ctio
n
in
m
e
m
o
r
y
a
n
d
en
er
g
y
co
n
s
u
m
p
tio
n
by
up
to
5
0
%,
w
h
ile
also
i
m
p
r
o
v
in
g
co
d
e
r
e
u
s
ab
ilit
y
by
eli
m
i
n
ati
n
g
r
ed
u
n
d
an
t
co
d
e
in
th
e
f
i
n
al
ap
p
licatio
n
.
Fu
r
t
h
er
m
o
r
e,
ex
ec
u
t
io
n
ti
m
e
w
a
s
i
m
p
r
o
v
ed
by
up
to
6
5
%.
In
f
u
tu
r
e
w
o
r
k
,
we
p
r
o
p
o
s
e
to
ex
p
lo
r
e
th
e
d
y
n
a
m
ic
d
ep
lo
y
m
en
t
of
asp
ec
t
-
o
r
ien
ted
co
m
p
o
n
en
t
s
to
f
u
r
th
er
e
n
h
a
n
ce
ad
ap
tab
ilit
y
an
d
ef
f
icie
n
c
y
.
F
UNDIN
G
I
NF
O
RM
AT
I
O
N
T
h
e
au
th
o
r
s
co
n
f
ir
m
t
h
at
no
f
u
n
d
in
g
s
u
p
p
o
r
ted
th
is
r
esear
ch
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
I
n
t J
R
ec
o
n
f
i
g
u
r
ab
le
&
E
m
b
ed
d
ed
Sy
s
t
,
Vo
l.
14
,
No
.
3
,
No
v
e
m
b
er
2
0
2
5
:
745
-
753
752
AUTHO
R
CO
NT
RIB
UT
I
O
NS
ST
A
T
E
M
E
NT
T
h
is
jo
u
r
n
al
u
s
e
s
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT
)
to
r
ec
o
g
n
ize
in
d
i
v
id
u
al
au
t
h
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
t
h
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
lla
b
o
r
atio
n
.
Na
m
e
of
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Kh
ali
f
a
Fati
h
a
✓
✓
✓
✓
✓
✓
✓
✓
✓
Gu
elta
B
o
u
c
h
ib
a
✓
✓
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
si
s
I
:
I
n
v
e
st
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
E
d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
si
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
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n
Fu
:
Fu
n
d
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g
a
c
q
u
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t
i
o
n
CO
NF
L
I
C
T
OF
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
Au
t
h
o
r
s
s
tate
no
co
n
f
lic
t
of
i
n
t
er
est.
DATA
AV
AI
L
AB
I
L
I
T
Y
Data
av
ailab
ilit
y
is
n
o
t
ap
p
licab
le
to
th
is
p
ap
er
as
no
n
ew
d
ata
w
er
e
cr
ea
ted
or
an
aly
ze
d
in
th
i
s
s
tu
d
y
.
RE
F
E
R
E
NC
E
S
[
1
]
P.
G
o
y
a
l
,
A.
K.
S
a
h
o
o
,
a
n
d
T.
K.
S
h
a
r
ma
,
“
I
n
t
e
r
n
e
t
of
t
h
i
n
g
s:
A
r
c
h
i
t
e
c
t
u
r
e
a
n
d
e
n
a
b
l
i
n
g
t
e
c
h
n
o
l
o
g
i
e
s,”
Ma
t
e
r
i
a
l
s
T
o
d
a
y
:
Pro
c
e
e
d
i
n
g
s
,
v
o
l
.
3
4
,
p
p
.
7
1
9
–
7
3
5
,
2
0
1
9
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
m
a
t
p
r
.
2
0
2
0
.
0
4
.
6
7
8
.
[
2
]
Y.
Q
i
a
n
,
D.
W
u
,
W.
B
a
o
,
a
n
d
P.
L
o
r
e
n
z
,
“
T
h
e
I
n
t
e
r
n
e
t
of
T
h
i
n
g
s
f
o
r
S
mart
C
i
t
i
e
s:
T
e
c
h
n
o
l
o
g
i
e
s
a
n
d
A
p
p
l
i
c
a
t
i
o
n
s,
”
I
EE
E
N
e
t
w
o
rk
,
v
o
l
.
3
3
,
n
o
.
2,
p
p
.
4
–
5,
M
a
r
.
2
0
1
9
,
d
o
i
:
1
0
.
1
1
0
9
/
M
N
ET
.
2
0
1
9
.
8
6
7
5
1
6
5
.
[
3
]
C.
V.
M
a
h
a
m
u
n
i
,
“
Ex
p
l
o
r
i
n
g
I
o
T
-
A
p
p
l
i
c
a
t
i
o
n
s:
A
S
u
r
v
e
y
of
R
e
c
e
n
t
P
r
o
g
r
e
ss,
C
h
a
l
l
e
n
g
e
s,
a
n
d
I
mp
a
c
t
of
A
I
,
B
l
o
c
k
c
h
a
i
n
,
a
n
d
D
i
sr
u
p
t
i
v
e
T
e
c
h
n
o
l
o
g
i
e
s,”
in
7
t
h
I
n
t
e
rn
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
on
E
l
e
c
t
r
o
n
i
c
s,
C
o
m
m
u
n
i
c
a
t
i
o
n
a
n
d
Ae
r
o
s
p
a
c
e
T
e
c
h
n
o
l
o
g
y
,
I
C
E
C
A
2
0
2
3
-
Pr
o
c
e
e
d
i
n
g
s
,
N
o
v
.
2
0
2
3
,
p
p
.
1
3
2
4
–
1
3
3
1
,
d
o
i
:
1
0
.
1
1
0
9
/
I
C
EC
A
5
8
5
2
9
.
2
0
2
3
.
1
0
3
9
5
0
6
4
.
[
4
]
T.
C
e
r
n
y
,
M.
J.
D
o
n
a
h
o
o
,
a
n
d
M.
T
r
n
k
a
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5
]
T.
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[
6
]
B.
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[
7
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Z.
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[
8
]
A.
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a
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[
9
]
O.
A.
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1
0
]
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R
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[
1
1
]
A.
A.
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,
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[
1
2
]
B.
M
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Le
M
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l
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P
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C
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L
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[
1
3
]
S.
M.
B
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d
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s:
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[
1
4
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S.
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[
1
5
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S.
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T)
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[
1
6
]
R.
S.
B
a
n
so
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a
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c
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[
1
7
]
F.
K
h
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f
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B.
G
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