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8708
I
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8
:
1
2
4
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1255
1248
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ex
p
r
ess
iv
e
d
o
m
a
in
s
p
ec
if
ic
lan
g
u
a
g
e
(
DS
L
)
f
o
r
th
e
m
u
ltit
u
d
e
o
f
th
e
i
n
co
m
i
n
g
s
en
s
o
r
s
tr
ea
m
s
o
f
d
ata.
T
h
ese
r
u
les
ca
n
t
h
e
n
b
e
u
s
ed
to
p
r
ev
en
t
co
s
tl
y
m
ac
h
i
n
e
f
a
ilu
r
e
s
o
r
d
o
w
n
t
i
m
e
a
s
well
as
i
m
p
r
o
v
e
th
e
ef
f
icien
c
y
an
d
s
a
f
et
y
o
f
i
n
d
u
s
tr
ial
o
p
er
atio
n
s
an
d
p
r
o
ce
s
s
es
in
r
ea
l
tim
e.
T
h
e
s
er
v
ices
ar
e
d
ep
lo
y
ed
in
clo
u
d
s
er
v
er
as
w
e
ll
as
in
f
o
g
s
e
r
v
er
lo
ca
ted
in
DM
Z
n
et
w
o
r
k
.
T
h
ese
s
er
v
ice
s
d
ep
lo
y
ed
in
t
h
ese
t
w
o
tier
co
m
m
u
n
icate
w
i
th
ea
ch
o
t
h
er
as
p
er
r
eq
u
ir
e
m
e
n
t.
U
s
er
p
er
f
o
r
m
m
o
n
ito
r
in
g
a
n
d
co
n
tr
o
lli
n
g
o
p
er
atio
n
w
h
e
r
e
d
ata
ar
e
ex
ch
an
g
ed
f
r
o
m
b
o
th
s
er
v
ices
d
ep
lo
y
ed
in
d
if
f
er
e
n
t
la
y
er
s
.
T
h
is
p
ap
er
is
f
o
cu
s
e
d
o
n
ex
p
lain
in
g
th
e
d
etails
o
f
ap
p
licatio
n
d
ev
e
lo
p
m
en
t
an
d
d
ep
lo
y
m
en
t
w
i
th
th
e
ex
is
ti
n
g
tec
h
n
o
lo
g
y
u
s
i
n
g
b
lo
ck
d
iag
r
a
m
w
it
h
tech
n
o
lo
g
ies
d
etai
ls
,
ar
ch
itect
u
r
al
d
iag
r
a
m
w
it
h
w
ir
ed
an
d
w
ir
ele
s
s
n
et
w
o
r
k
o
f
t
h
i
n
g
s
w
i
th
tier
s
d
etails,
f
lo
w
ch
ar
t d
iag
r
a
m
a
n
d
w
it
h
th
e
f
lo
w
o
f
s
y
s
te
m
.
2.
L
I
T
E
R
AT
U
RE
SU
RVE
Y
2
.
1
.
E
dg
e
Co
m
pu
t
i
ng
E
d
g
e
co
m
p
u
ti
n
g
is
an
ap
p
r
o
ac
h
to
p
u
s
h
p
r
o
ce
s
s
in
g
o
f
ce
r
ta
in
d
ata
at
ed
g
e
n
et
w
o
r
k
.
An
a
p
p
licatio
n
h
av
i
n
g
r
eq
u
ir
e
m
e
n
t to
h
an
d
le
an
d
p
r
o
ce
s
s
r
ea
l
-
ti
m
e
d
ata
t
h
e
n
s
u
c
h
p
r
o
ce
s
s
i
n
g
ca
n
n
o
t to
ler
ate
n
et
w
o
r
k
late
n
c
y
d
elay
.
P
r
o
ce
s
s
i
n
g
o
f
s
u
c
h
d
ata
in
clo
u
d
w
i
ll
i
n
cr
ea
s
e
r
esp
o
n
s
e
ti
m
e,
w
h
ic
h
is
n
o
t
ac
ce
p
tab
l
e
in
p
r
ac
tical
ca
s
e.
P
r
o
ce
s
s
in
g
o
f
s
u
ch
d
ata
lo
ca
ll
y
,
w
i
ll
r
ed
u
ce
t
h
e
d
ata
t
h
at
n
ee
d
to
b
e
s
e
n
d
f
o
r
p
r
o
ce
s
s
in
g
w
h
ic
h
h
elp
to
d
ec
r
ea
s
e
th
e
n
et
w
o
r
k
tr
af
f
ic
as
w
ell
a
s
i
n
cr
ea
s
e
p
er
f
o
r
m
an
ce
.
T
h
e
h
ar
d
w
ar
e
d
ev
ice
in
ed
g
e
n
et
w
o
r
k
h
a
v
e
v
er
y
less
m
e
m
o
r
y
a
n
d
p
r
o
ce
s
s
in
g
ca
p
ac
it
y
.
T
h
er
ef
o
r
e,
it
is
r
ec
o
m
m
en
d
h
an
d
li
n
g
o
n
l
y
d
ed
icat
ed
p
r
o
ce
s
s
in
ed
g
e
co
m
p
u
ti
n
g
n
et
w
o
r
k
.
2
.
2
.
F
o
g
Co
m
pu
t
ing
Data
g
e
n
er
ated
f
r
o
m
I
o
T
d
ev
i
ce
s
h
as
in
cr
ea
s
ed
e
x
p
o
n
e
n
tiall
y
i
n
v
o
lu
m
e
an
d
v
elo
cit
y
.
T
h
e
o
ld
d
ata
w
ar
e
h
o
u
s
e
m
o
d
el
ca
n
n
o
t
m
ee
t
th
e
lo
w
la
ten
c
y
r
esp
o
n
s
e
ti
m
e
s
f
o
r
u
s
er
s
d
e
m
an
d
.
C
lo
u
d
w
a
s
o
n
l
y
as o
p
tio
n
f
o
r
s
en
d
i
n
g
d
ata
to
s
to
r
e,
an
al
y
s
i
s
etc.
t
h
at
m
i
g
h
t
lead
to
d
ata
b
o
ttlen
ec
k
s
.
B
u
s
in
e
s
s
m
o
d
els
n
ee
d
d
ata
a
n
al
y
tics
r
esp
o
n
s
e
as
s
o
o
n
as
p
o
s
s
ib
le
b
u
t
it
g
et
d
ela
y
w
h
en
d
ata
h
a
v
e
to
tr
av
el
to
clo
u
d
,
p
r
o
ce
s
s
it
an
d
s
e
n
d
r
esp
o
n
s
e
b
ac
k
.
Fo
g
C
o
m
p
u
ti
n
g
h
elp
s
t
o
o
v
er
co
m
e
t
h
ese
ch
al
len
g
es.
Fo
g
co
m
p
u
ti
n
g
ar
ch
itect
u
r
e
i
s
al
m
o
s
t
s
a
m
e
a
s
a
clo
u
d
co
m
p
u
ti
n
g
ar
ch
itec
tu
r
e
b
u
t
f
o
g
co
m
p
u
tin
g
i
s
lo
ca
ted
i
n
ed
g
e
n
et
w
o
r
k
.
C
h
ar
ac
ter
is
tic
s
o
f
f
o
g
co
m
p
u
ti
n
g
in
cl
u
d
e
lo
w
la
ten
c
y
,
lo
ca
tio
n
a
w
ar
e
n
ess
,
r
ea
l
-
ti
m
e
a
n
al
y
tics
an
d
s
ec
u
r
it
y
.
F
o
g
co
m
p
u
tin
g
is
lo
ca
ted
in
ed
g
e
n
et
w
o
r
k
b
ec
a
u
s
e
o
f
t
h
at
m
o
n
it
o
r
in
g
,
co
n
tr
o
lli
n
g
a
n
d
m
ai
n
tai
n
in
g
ed
g
e
d
ev
ice
s
ca
n
b
e
d
o
n
e
in
ea
s
e.
T
h
is
g
iv
e
m
o
r
e
f
le
x
ib
ilit
y
i
n
e
n
h
an
c
in
g
ed
g
e
co
m
p
u
tin
g
.
B
ec
au
s
e
o
f
f
o
g
co
m
p
u
tin
g
,
ed
g
e
co
m
p
u
tin
g
ca
n
g
e
t
r
id
o
f
lo
t
o
f
cir
cu
m
s
ta
n
ce
an
d
c
h
allen
g
e
s
th
at
it
m
i
g
h
t f
ac
e.
2
.
3
.
Clo
ud
Co
m
p
uting
C
lo
u
d
co
m
p
u
ti
n
g
i
s
a
p
lat
f
o
r
m
w
h
er
e
it
h
a
v
e
ex
p
o
s
ed
m
u
ltip
le
s
er
v
ices
l
ik
e
P
lat
f
o
r
m
a
s
a
s
er
v
ice(
P
aa
S),
I
n
f
r
astr
u
ct
u
r
e
as
a
s
er
v
ice(
I
aa
S),
So
f
t
w
ar
e
as
a
s
er
v
ice(
Saa
S)
etc.
C
lo
u
d
C
o
m
p
u
ti
n
g
is
a
n
ap
p
r
o
ac
h
to
u
s
e
s
er
v
ice
s
th
r
o
u
g
h
i
n
ter
n
et
u
s
i
n
g
l
ig
h
t
w
ei
g
h
t
p
r
o
to
co
l.
C
lo
u
d
co
m
p
u
ti
n
g
p
r
o
v
id
e
r
eso
u
r
ce
s
li
k
e
co
m
p
u
ter
p
r
o
ce
s
s
i
n
g
r
eso
u
r
ce
s
,
d
ata
s
to
r
ag
e
d
e
v
ices
an
d
o
t
h
er
d
ev
ices
o
n
d
e
m
a
n
d
[
4
]
.
T
h
e
s
e
r
eso
u
r
ce
s
ca
n
b
e
u
s
ed
to
b
u
ild
y
o
u
r
o
w
n
SaaS
in
clo
u
d
li
k
e
b
ig
d
ata
an
al
y
tic
s
to
p
er
f
o
r
m
y
o
u
r
r
eq
u
ir
e
m
en
t
ex
p
lain
ed
i
n
[
1
4
]
.
T
h
ese
r
eso
u
r
ce
s
ca
n
b
e
co
n
tr
o
l
an
d
m
o
n
ito
r
u
s
i
n
g
lig
h
t
w
e
ig
h
t
p
r
o
to
co
l.
On
e
ca
n
u
s
e
s
e
r
v
ices
av
ai
lab
le
in
clo
u
d
u
s
i
n
g
li
g
h
t
w
ei
g
h
t
p
r
o
to
co
l
an
d
ca
n
g
et
r
id
o
f
d
ev
elo
p
in
g
y
o
u
r
o
w
n
s
er
v
ice
s
.
O
v
er
al
l,
C
lo
u
d
co
m
p
u
ti
n
g
is
a
p
latf
o
r
m
w
h
ic
h
ex
p
o
s
ed
l
o
t o
f
s
er
v
ices to
d
ev
elo
p
ap
p
licatio
n
o
r
b
u
s
in
e
s
s
lo
g
ic
w
it
h
ea
s
e.
3.
T
I
AR
RAH
CO
M
P
UT
I
NG
S
YST
E
M
CO
M
P
O
NE
NT
T
h
e
C
o
m
p
o
n
e
n
t
s
o
f
T
iar
r
ah
C
o
m
p
u
tin
g
is
s
h
o
w
n
i
n
Fi
g
u
r
e
1
.
T
h
ese
co
m
p
o
n
en
t
s
ar
e
ex
p
lain
ed
b
elo
w
:
3.
1.
H
a
rdw
a
re
,
Net
w
o
rk
T
o
d
ep
l
o
y
an
d
co
m
m
u
n
icate
w
it
h
ap
p
licatio
n
t
h
er
e
is
al
w
a
y
s
n
ee
d
o
f
t
h
e
h
ar
d
w
ar
e
an
d
n
et
w
o
r
k
s
.
T
h
e
m
o
s
t
w
id
el
y
u
s
ed
h
ar
d
w
a
r
e
an
d
n
et
w
o
r
k
i
n
d
ata
C
en
tr
e
ar
e
B
laze
Ser
v
er
,
R
ac
k
s
,
R
o
u
ter
,
S
w
itch
,
ca
b
le
-
w
ir
i
n
g
etc.
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
Tia
r
r
a
h
C
o
mp
u
tin
g
:
Th
e
N
ex
t G
en
era
tio
n
o
f Co
mp
u
tin
g
(
Ya
n
is
h
P
r
a
d
h
a
n
a
n
g
a
)
1249
3
.
2
.
Virt
ua
liza
t
io
n & C
lo
ud
Co
mp
uting
B
esid
es
h
ar
d
w
ar
e,
v
ir
tu
a
lizati
o
n
tech
n
o
lo
g
y
is
u
s
ed
f
o
r
th
e
m
an
a
g
e
m
e
n
t
an
d
co
n
tr
o
l
o
f
r
eso
u
r
ce
s
lik
e
Me
m
o
r
y
,
S
to
r
ag
e,
Net
w
o
r
k
an
d
P
r
o
ce
s
s
o
r
.
B
y
u
s
in
g
v
i
r
tu
aliza
tio
n
,
o
n
e
ca
n
cr
ea
te
v
i
r
tu
al
i
n
s
ta
n
ce
w
i
th
v
ir
tu
a
l
i
m
ag
e
u
s
in
g
a
d
esire
d
h
ar
d
w
ar
e
w
it
h
co
n
f
i
g
u
r
ati
o
n
th
at
ca
n
b
e
v
er
ticall
y
s
ca
led
u
p
o
r
d
o
w
n
a
s
r
eq
u
ir
ed
.
T
h
e
m
o
s
t
p
o
p
u
lar
clo
u
d
co
m
p
u
ti
n
g
to
o
ls
li
k
e
o
p
en
s
tac
k
[
1
2
]
,
[
1
3
]
an
d
clo
u
d
s
tack
ar
e
u
s
ed
to
cr
ea
te
v
ir
tu
a
l
i
n
s
ta
n
ce
a
n
d
d
estro
y
t
h
e
m
.
B
y
u
s
i
n
g
o
p
en
s
tac
k
a
n
d
clo
u
d
s
tac
k
o
n
e
ca
n
cr
ea
te
t
h
eir
o
w
n
p
r
iv
ate
o
r
p
u
b
lic
clo
u
d
.
I
f
t
h
er
e
is
n
o
r
e
q
u
ir
e
m
e
n
t
o
f
t
h
ese
tech
n
o
lo
g
i
es
o
r
o
n
e
d
o
esn
’
t
w
an
t
to
in
v
est
in
h
ar
d
w
ar
e
to
b
u
ild
a
d
atac
en
ter
o
r
p
r
iv
ate
clo
u
d
.
On
e
ca
n
h
a
v
e
a
s
i
m
p
l
e
s
er
v
er
in
p
r
iv
ate
n
et
w
o
r
k
o
r
lo
ca
l
n
et
w
o
r
k
a
n
d
d
ep
lo
y
r
est
o
f
ap
p
lic
atio
n
in
p
u
b
lic
clo
u
d
li
k
e
Am
az
o
n
A
W
S,
Mic
r
o
s
o
f
t
A
z
u
r
e,
R
ac
k
s
p
ac
e
etc.
to
d
ep
lo
y
th
e
ap
p
licatio
n
.
3
.
3
.
Clus
t
er
M
a
na
g
em
ent
T
iar
r
ah
C
o
m
p
u
ti
n
g
p
r
o
m
o
te
f
o
r
clu
s
ter
m
a
n
a
g
e
m
e
n
t
i
f
t
h
e
ap
p
licatio
n
is
h
u
g
e
a
n
d
it
i
s
n
ec
ess
ar
y
to
m
ak
e
t
h
e
cl
u
s
ter
r
u
n
n
in
g
w
it
h
o
u
t
a
n
y
d
o
w
n
ti
m
e
s
i
n
ce
i
t
i
s
q
u
ite
co
m
p
licated
to
m
o
n
ito
r
a
n
d
u
p
d
ate
ea
c
h
a
n
d
ev
er
y
m
ac
h
i
n
e
i
n
d
iv
id
u
all
y
.
T
o
s
o
lv
e
th
ese
c
h
alle
n
g
e
s
th
er
e
ar
e
o
p
en
s
o
u
r
ce
f
r
a
m
e
w
o
r
k
s
a
n
d
to
o
ls
f
o
r
clu
s
ter
m
an
a
g
e
m
e
n
t
as
w
ell
as
a
lo
t
o
f
r
esear
ch
g
o
i
n
g
o
n
in
cl
u
s
ter
m
an
a
g
e
m
e
n
t
[
1
5
]
.
Sin
ce
,
it
is
o
p
en
s
o
u
r
ce
o
n
e
ca
n
u
s
e
t
h
e
f
ea
tu
r
es
a
v
ailab
le
o
r
cr
ea
te
h
is
o
w
n
f
ea
t
u
r
e
o
r
m
o
d
if
y
th
e
f
ea
t
u
r
e
as
p
er
r
eq
u
ir
e
m
e
n
t.
T
h
er
e
ar
e
also
a
lo
t
o
f
f
o
r
u
m
s
an
d
g
r
o
u
p
s
w
h
e
r
e
o
n
e
ca
n
f
i
n
d
lo
t
o
f
s
u
p
p
o
r
t,
d
o
cu
m
e
n
tatio
n
s
,
an
d
t
u
to
r
ials
an
d
s
o
o
n
to
d
ea
l
wi
t
h
t
h
e
ch
al
len
g
es t
h
at
y
o
u
ar
e
f
ac
in
g
.
T
h
e
b
en
ef
i
ts
o
f
u
s
i
n
g
clu
s
ter
m
an
a
g
e
m
en
t to
o
ls
ar
e
as f
o
llo
w
s
:
a.
C
lu
s
ter
s
ize
ca
n
b
e
s
ca
led
u
p
o
r
d
o
w
n
ea
s
il
y
o
r
an
au
to
m
ated
d
esig
n
to
s
ca
le
cl
u
s
ter
s
ize
u
p
o
r
d
o
w
n
ca
n
b
e
p
u
t to
u
s
e.
b.
Z
er
o
d
o
w
n
ti
m
e
b
y
u
s
in
g
a
u
to
m
atic
f
ailo
v
er
o
r
s
el
f
-
h
ea
li
n
g
.
c.
C
o
n
tr
o
lli
n
g
,
m
o
n
ito
r
i
n
g
a
n
d
m
an
a
g
i
n
g
a
g
r
o
u
p
o
f
cl
u
s
ter
s
th
r
o
u
g
h
a
g
r
ap
h
ical
u
s
er
in
ter
f
ac
e
o
r
b
y
u
s
i
n
g
co
m
m
a
n
d
lin
e.
d.
D
y
n
a
m
ic
lo
ad
b
alan
ci
n
g
ca
n
b
e
ac
h
iev
ed
.
e.
E
as
y
d
ep
lo
y
m
e
n
t o
f
clu
s
ter
an
d
ea
s
y
d
ep
lo
y
m
e
n
t o
f
ap
p
licati
o
n
u
s
i
n
g
Dev
Op
s
.
f.
E
f
f
icien
t u
s
e
o
f
r
eso
u
r
ce
s
.
Fo
r
S
m
all
a
n
d
Me
d
iu
m
E
n
ter
p
r
is
e
(
SME
)
th
er
e
m
ig
h
t
n
o
t
b
e
r
eq
u
ir
e
m
en
t
o
f
C
lu
s
ter
Ma
n
ag
e
m
e
n
t,
s
in
ce
all
w
o
r
k
lo
ad
ca
n
b
e
h
an
d
led
b
y
a
s
er
v
er
.
B
u
t
it
ca
n
b
e
i
m
p
le
m
e
n
ted
i
n
f
u
t
u
r
e
i
f
r
eq
u
ir
ed
as
ap
p
licatio
n
g
r
o
w
.
3
.
4
.
Dev
O
ps
Dev
Op
s
f
o
cu
s
es
o
n
co
llab
o
r
at
io
n
an
d
co
m
m
u
n
icatio
n
o
f
s
o
f
t
w
ar
e
d
ev
e
lo
p
er
s
an
d
o
th
er
in
f
o
r
m
atio
n
tech
n
o
lo
g
ies.
Au
to
m
ati
n
g
s
o
f
t
w
ar
e
d
eli
v
er
y
a
n
d
in
f
r
astr
u
c
tu
r
e
ch
a
n
g
es
s
u
c
h
co
n
ce
p
t
a
n
d
p
r
o
ce
s
s
co
m
es
u
n
d
er
Dev
Op
s
p
r
ac
tice.
Dev
O
p
s
ai
m
s
is
to
cr
ea
te
an
en
v
ir
o
n
m
en
t
f
o
r
b
u
ild
in
g
,
test
i
n
g
a
n
d
r
elea
s
in
g
s
o
f
t
w
ar
e
r
ap
id
ly
,
f
r
eq
u
en
t
l
y
a
n
d
m
o
r
e
r
eliab
l
y
[
1
6
]
,
[
1
7
]
.
So
m
e
o
f
w
i
d
ely
u
s
ed
De
v
Op
s
to
o
ls
i
n
in
d
u
s
tr
ie
s
f
o
r
s
o
f
t
w
ar
e
d
ev
elo
p
m
en
t
a
n
d
d
eliv
er
y
p
r
o
c
ess
ar
e
GI
T
,
Do
ck
er
,
J
en
k
i
n
s
,
P
u
p
p
et,
Vag
r
an
t
etc.
So
m
e
o
f
m
o
s
t
p
o
p
u
lar
an
d
w
id
el
y
u
s
ed
o
p
en
s
o
u
r
e
f
r
a
m
e
w
o
r
k
an
d
to
o
ls
f
o
r
clu
s
ter
m
a
n
ag
e
m
e
n
t
ar
e
Do
ck
er
s
w
ar
m
,
Fleet,
K
u
b
er
n
ete
s
,
A
p
ac
h
e
Me
s
o
s
,
A
p
ac
h
e
Z
o
o
Kee
p
er
,
A
p
ac
h
e
Ma
r
ath
o
n
etc.
3
.
5
.
M
icr
o
s
er
v
ices a
nd
M
o
no
litic
s
Mic
r
o
s
er
v
ices
[
1
1
]
,
[
1
8
]
,
[
1
9
]
an
d
Mo
n
o
liti
cs
ar
c
h
itect
u
r
e
ar
e
ar
ch
itectu
r
es
th
at
ar
e
u
s
ed
f
o
r
d
ev
elo
p
in
g
ap
p
licatio
n
s
.
Mo
s
t
ap
p
licatio
n
s
ar
e
d
ev
e
lo
p
ed
u
s
i
n
g
m
o
n
o
li
tics
ar
c
h
itect
u
r
e
an
d
it
i
s
th
e
tr
ad
itio
n
al
w
a
y
o
f
ap
p
licatio
n
d
ev
elo
p
m
e
n
t.
I
n
s
o
f
t
w
ar
e
d
ev
elo
p
m
en
t
th
er
e
is
r
eq
u
ir
em
en
t
o
f
co
n
t
in
u
o
u
s
in
cr
e
m
e
n
t
i
n
f
ea
t
u
r
e
w
h
ich
i
n
cr
ea
s
e
s
izes
o
f
ap
p
licatio
n
.
As
ti
m
e
p
as
s
es
ap
p
licatio
n
b
ec
o
m
e
co
m
p
licated
a
n
d
h
u
g
e,
w
h
ich
lead
to
d
eg
r
ad
atio
n
in
p
er
f
o
r
m
a
n
ce
a
n
d
test
i
n
g
.
T
h
is
m
ea
n
th
a
t
ap
p
licatio
n
d
ev
elo
p
m
e
n
t
s
p
ee
d
i
s
in
v
er
s
el
y
p
r
o
p
o
r
tio
n
al
to
th
e
s
ize
an
d
f
ea
t
u
r
es.
T
o
o
v
er
co
m
e
th
i
s
li
m
ita
tio
n
,
m
o
cr
o
s
er
v
ices
b
ased
ap
p
licatio
n
d
ev
elo
p
m
en
t a
p
p
r
o
ac
h
e
m
er
g
e
d
.
Mic
r
o
s
er
v
ices
b
ased
ap
p
licati
o
n
d
ev
elo
p
m
e
n
t
is
a
n
ap
p
r
o
ac
h
to
d
ev
elo
p
an
ap
p
licatio
n
co
m
p
o
s
ed
o
f
s
m
al
l
s
er
v
ice
s
.
E
ac
h
s
er
v
ice
s
in
m
icr
o
s
er
v
ices
r
u
n
i
n
its
o
w
n
p
r
o
ce
s
s
.
E
ac
h
s
er
v
ices
ar
e
i
n
d
ep
en
d
en
t
o
f
ea
c
h
o
th
er
,
w
h
ic
h
g
i
v
e
f
le
x
ib
ilit
y
in
d
ev
elo
p
m
e
n
t,
te
s
ti
n
g
an
d
d
ep
l
o
y
m
e
n
t o
f
s
er
v
ice
s
s
ep
ar
atel
y
.
E
ac
h
s
er
v
ice
r
u
n
s
as
a
s
ep
ar
ate
p
r
o
ce
s
s
an
d
co
m
m
u
n
icat
io
n
b
et
w
ee
n
s
er
v
ice
s
i
s
ac
co
m
p
lis
h
ed
th
r
o
u
g
h
lig
h
t
w
ei
g
h
t
m
ec
h
a
n
is
m
s
.
Mic
r
o
s
er
v
ices
g
iv
e
m
o
r
e
f
le
x
ib
ilit
y
i
n
d
ev
elo
p
in
g
ap
p
licatio
n
w
i
th
f
ea
t
u
r
e
lik
e
n
o
n
-
b
lo
ck
in
g
,
ev
e
n
t
d
r
iv
e
n
,
co
n
cu
r
r
en
c
y
,
s
ca
lab
ilit
y
,
p
o
l
y
g
lo
t e
tc.
3
.
6
.
T
hin
g
s
T
h
e
I
n
ter
n
et
o
f
t
h
i
n
g
s
i
s
t
h
e
in
ter
n
et
w
o
r
k
i
n
g
o
f
p
h
y
s
ical
d
ev
ices,
v
e
h
icles,
b
u
ild
i
n
g
s
etc.
T
h
ese
th
i
n
g
s
ar
e
e
m
b
ed
d
ed
w
ith
ele
ctr
o
n
ics,
s
o
f
t
w
ar
e,
s
en
s
o
r
s
,
a
ctu
ato
r
s
etc.
T
h
e
n
et
w
o
r
k
co
n
n
ec
t
io
n
e
n
ab
les
to
co
llect
an
d
ex
ch
a
n
g
e
d
ata
f
r
o
m
t
h
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t
h
in
g
s
.
I
o
T
allo
w
s
t
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in
g
s
to
b
e
m
o
n
ito
r
an
d
/o
r
co
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tr
o
l
r
e
m
o
tel
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o
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Fig
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1
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B
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Diag
r
a
m
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ah
C
o
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p
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3
.
7
.
E
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er
T
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m
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ter
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An
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4
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2
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M
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a
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k
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Ser
v
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o
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ap
p
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ca
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ter
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ltip
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t.
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.
3
.
M
ess
a
g
ing
P
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t
o
c
o
l
I
n
o
r
d
er
to
s
elec
t
th
e
b
est
p
o
s
s
ib
l
e
m
es
s
a
g
in
g
p
r
o
to
co
l
s
o
lu
tio
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in
I
o
T
an
d
I
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T
a
n
in
-
d
ep
th
k
n
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w
led
g
e
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f
t
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ar
ch
itec
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as
w
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ll
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t
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m
ess
a
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o
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d
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ar
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p
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eq
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I
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T
ap
p
lic
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s
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tech
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s
f
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m
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p
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t
to
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w
e
v
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,
w
h
e
n
o
n
e
co
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id
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th
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f
u
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m
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te
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r
eq
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ts
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ler
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lt,
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T
h
e
s
u
itab
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it
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th
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s
e
m
ess
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g
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tech
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lo
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m
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f
al
l
s
h
o
r
t
o
f
ex
p
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tatio
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s
,
as
t
h
e
y
m
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u
n
ab
le
to
s
u
p
p
o
r
t
co
m
m
u
n
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w
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th
i
n
an
d
b
et
w
ee
n
d
ev
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to
clo
u
d
co
m
m
u
n
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a
n
d
co
m
m
u
n
icatio
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w
it
h
i
n
a
d
ata
ce
n
tr
e.
I
n
o
r
d
er
to
in
ter
ch
an
g
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d
ata
w
eb
s
o
c
k
et
p
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to
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l
ca
n
also
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s
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to
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a
k
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ll
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lex
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tio
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w
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Me
s
s
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g
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o
k
er
as
w
ell
a
s
w
it
h
th
e
s
er
v
ice
s
.
4
.
4
.
Da
t
a
P
ro
ce
s
s
ing
T
h
e
p
r
o
ce
s
s
o
f
g
at
h
er
in
g
a
n
d
m
an
a
g
i
n
g
d
ata
co
m
p
o
n
e
n
ts
to
p
r
o
d
u
ce
m
ea
n
i
n
g
f
u
l
in
f
o
r
m
atio
n
i
s
ca
lled
d
ata
p
r
o
ce
s
s
in
g
.
.
I
t
is
a
s
u
b
s
e
t
o
f
in
f
o
r
m
atio
n
p
r
o
ce
s
s
i
n
g
.
Mo
s
t
ap
p
licatio
n
s
g
ath
er
in
f
o
r
m
atio
n
an
d
s
av
e
it
i
n
t
h
e
m
e
m
o
r
y
o
r
d
ata
b
ase.
T
h
ese
d
ata
ar
e
th
en
p
r
o
ce
s
s
ed
as
a
b
atch
j
o
b
.
R
ea
l
-
ti
m
e
d
ata
o
r
s
tr
ea
m
i
n
g
d
ata
ar
e
b
ec
o
m
i
n
g
i
n
cr
ea
s
i
n
g
l
y
r
elev
a
n
t.
I
t
is
n
o
lo
n
g
er
s
u
f
f
icie
n
t
to
p
r
o
ce
s
s
b
ig
v
o
lu
m
e
s
o
f
d
ata
b
u
t
o
p
er
atio
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s
o
n
r
ea
l
-
ti
m
e
d
ata
i
s
also
ad
d
in
g
v
alu
e
in
d
ata
p
r
o
ce
s
s
i
n
g
.
R
ea
l
-
ti
m
e
d
ata
p
r
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ce
s
s
i
n
g
is
d
e
v
elo
p
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f
ast
a
n
d
is
c
u
r
r
en
tl
y
o
n
e
o
f
t
h
e
m
o
s
t
p
o
p
u
lar
r
esear
ch
to
p
ics.
T
o
o
v
er
co
m
e
t
h
ese
c
h
alle
n
g
es
o
f
r
ea
l
-
t
i
m
e
d
at
a
p
r
o
ce
s
s
in
g
t
h
er
e
e
m
er
g
e
t
w
o
d
if
f
er
e
n
t
ar
ch
itect
u
r
e
th
at
ar
e
k
ap
p
a
ar
ch
itectu
r
e
an
d
la
m
b
d
a
ar
ch
itectu
r
e.
Data
p
r
o
ce
s
s
in
g
i
s
p
er
f
o
r
m
ed
in
t
wo
d
if
f
er
en
t
m
ec
h
an
is
m
:
4
.
4
.
1
.
Str
ea
m
P
ro
ce
s
s
ing
T
h
e
an
al
y
s
is
o
f
lar
g
e
q
u
an
t
it
ies
o
f
d
ata
a
n
d
ca
r
r
y
in
g
o
u
t
o
f
ac
tio
n
s
o
n
d
ata
ev
e
n
aa
s
i
t
is
b
ein
g
co
llected
ca
n
b
e
d
o
n
e
u
s
i
n
g
s
t
r
ea
m
p
r
o
ce
s
s
i
n
g
.
Fo
r
t
h
is
p
u
r
p
o
s
e,
a
co
n
ti
n
u
o
u
s
s
er
ie
s
o
f
q
u
e
r
ies (
i.e
.
SQ
L
-
t
y
p
e
q
u
er
ies
t
h
at
o
p
er
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o
v
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t
i
m
e
an
d
b
u
f
f
er
w
i
n
d
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w
s
)
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d
ap
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s
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g
d
ata.
Stre
a
m
i
n
g
an
al
y
tic,
an
i
m
p
o
r
t
an
t
co
m
p
o
n
e
n
t
o
f
s
tr
ea
m
p
r
o
ce
s
s
in
g
is
t
h
e
ab
ilit
y
to
p
er
f
o
r
m
m
at
h
e
m
atica
l
an
d
s
ta
tis
tical
ca
lc
u
latio
n
s
o
n
s
tr
ea
m
i
n
g
d
ata,
is
m
ad
e
p
o
s
s
ib
le
w
it
h
a
s
ca
lab
le,
h
i
g
h
l
y
a
v
ailab
le
an
d
f
au
lt to
ler
a
n
t a
r
ch
itectu
r
e.
A
co
n
v
en
t
io
n
al
d
atab
ase
m
o
d
el
f
ir
s
t
s
to
r
es
an
d
cla
s
s
if
e
s
d
ata
b
ef
o
r
e
b
ein
g
p
r
o
ce
s
s
ed
b
y
q
u
er
ies
.
Ho
w
e
v
er
,
in
s
tr
ea
m
p
r
o
ce
s
s
i
n
g
d
ata
ca
n
b
e
an
al
y
s
ed
ev
e
n
w
h
ile
it
is
en
-
r
o
u
te.
Si
n
ce
s
tr
ea
m
p
r
o
ce
s
s
i
n
g
ca
n
b
e
d
o
en
ev
en
o
n
ex
ter
n
al
d
ata
s
o
u
r
ce
s
it
en
ab
les
s
elec
tio
n
o
f
d
ata
in
to
ap
p
licatio
n
f
lo
w
an
d
th
e
u
p
d
ate
o
f
th
e
ex
ter
n
al
d
atab
ase
s
w
it
h
d
ata
th
at
h
as b
ee
n
p
r
o
ce
s
s
ed
.
4
.
4
.
2
.
B
a
t
ch
P
ro
ce
s
s
ing
W
h
en
tr
a
n
s
ac
tio
n
is
p
r
o
ce
s
s
e
d
in
a
b
lu
lk
o
r
a
b
atch
it
i
s
ca
lled
b
atch
p
r
o
ce
s
s
in
g
.
U
n
li
k
e
tr
an
s
ac
tio
n
p
r
o
ce
s
s
in
g
t
h
at
ca
n
b
e
p
er
f
o
r
m
ed
o
n
l
y
o
n
e
at
a
ti
m
e
an
d
m
a
y
r
eq
u
ir
e
u
s
er
in
ter
v
e
n
tio
n
,
o
n
ce
b
atch
p
r
o
ce
s
s
in
g
h
as
b
eg
u
n
,
ex
ter
n
a
l
in
ter
ac
tio
n
is
n
o
t
r
eq
u
ir
ed
.
I
ts
p
o
ten
tial
is
b
est
s
u
i
tab
le
f
o
r
en
d
o
f
-
c
y
cle
p
r
o
ce
s
s
in
g
,
s
u
c
h
Evaluation Warning : The document was created with Spire.PDF for Python.
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Vo
l.
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.
2
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p
r
il
201
8
:
1
2
4
7
–
1255
1252
as
f
o
r
p
r
o
ce
s
s
i
n
g
a
b
an
k
’
s
r
ep
o
r
ts
at
th
e
en
d
o
f
a
d
a
y
,
o
r
g
e
n
er
atin
g
m
o
n
th
l
y
o
r
b
i
-
w
ee
k
l
y
p
a
y
r
o
lls
,
a
lth
o
u
g
h
it c
an
b
e
p
er
f
o
r
m
ed
as d
esire
d
.
4
.
5
.
Da
t
a
M
ini
ng
W
h
en
tr
an
s
ac
tio
n
is
p
r
o
ce
s
s
e
d
in
a
b
u
lk
o
r
a
b
atch
it
is
ca
lled
b
atch
p
r
o
ce
s
s
in
g
.
Un
li
k
e
t
r
an
s
ac
tio
n
p
r
o
ce
s
s
in
g
t
h
at
ca
n
b
e
p
er
f
o
r
m
ed
o
n
l
y
o
n
e
at
a
ti
m
e
an
d
m
a
y
r
eq
u
ir
e
u
s
er
in
ter
v
e
n
tio
n
,
o
n
ce
b
atc
h
p
r
o
ce
s
s
in
g
h
as
b
eg
u
n
,
ex
ter
n
a
l
in
ter
ac
tio
n
is
n
o
t
r
eq
u
ir
ed
.
I
ts
p
o
ten
tial
is
b
est
s
u
i
tab
le
f
o
r
en
d
o
f
-
c
y
cle
p
r
o
ce
s
s
in
g
,
s
u
c
h
as
f
o
r
p
r
o
ce
s
s
i
n
g
a
b
an
k
’
s
r
ep
o
r
ts
at
th
e
en
d
o
f
a
d
a
y
,
o
r
g
e
n
er
atin
g
m
o
n
th
l
y
o
r
b
i
-
w
ee
k
l
y
p
a
y
r
o
lls
,
a
lth
o
u
g
h
it c
an
b
e
p
er
f
o
r
m
ed
as d
esire
d
.
4
.
5
.
1
.
I
nfo
r
m
a
t
io
n F
u
s
io
n
I
n
f
o
r
m
a
tio
n
f
u
s
io
n
is
th
e
p
r
o
ce
s
s
o
f
co
m
b
in
i
n
g
o
r
f
u
s
i
n
g
in
f
o
r
m
at
io
n
o
r
d
ata
o
f
s
a
m
e
o
b
j
e
ct
o
r
s
ce
n
e
to
h
av
e
a
clea
r
v
i
s
io
n
o
f
co
m
p
lex
it
y
,
r
eliab
ilit
y
a
n
d
ac
cu
r
ac
y
o
f
th
e
s
it
u
atio
n
o
f
t
h
e
in
f
o
r
m
a
tio
n
[
5
]
.
4
.
5
.
2
.
M
ulti
-
Sens
o
r
Da
t
a
/I
nfo
rm
a
t
io
n F
us
io
n
Dev
elo
p
in
g
a
n
y
i
n
tell
ig
e
n
ce
a
n
d
s
m
ar
t
ap
p
liatio
n
o
r
s
y
s
te
m
r
eq
u
ir
ed
m
u
lt
i
-
s
en
s
o
r
d
ata/in
f
o
r
m
atio
n
f
u
s
io
n
.
Data
/I
n
f
o
r
m
atio
n
f
u
s
io
n
f
r
o
m
s
i
n
g
le
s
o
u
r
ce
o
r
th
i
n
g
s
ca
n
b
e
ea
s
il
y
b
y
p
a
s
s
a
n
d
h
a
v
e
lo
t o
f
li
m
i
tatio
n
i
n
in
telli
g
e
n
ce
,
lo
g
ic
d
esi
g
n
,
ac
c
u
r
ac
y
etc.
T
h
e
f
u
s
io
n
o
f
d
ata/i
n
f
o
r
m
atio
n
f
r
o
m
m
u
l
tip
le
s
o
u
r
ce
in
m
u
ltip
le
w
a
y
an
d
m
u
ltip
le
le
v
el
g
i
v
es
m
o
r
e
f
le
x
ib
ilit
y
to
ac
h
ie
v
e
a
u
n
i
f
ied
p
r
ictu
r
e
[
6
]
.
On
e
g
o
o
d
ex
a
m
p
le,
to
elab
o
r
ate
r
ea
l
-
ti
m
e
m
u
lti
-
s
e
n
s
o
r
d
ata/in
f
o
r
m
atio
n
f
u
s
io
n
ca
n
b
e
f
ir
e
alar
m
s
y
s
te
m
.
Ha
v
i
n
g
o
n
l
y
s
m
o
k
e
d
etec
to
r
w
ill
n
o
t
g
iv
e
t
h
e
e
x
a
ct
s
itu
a
tio
n
i
n
f
o
r
m
atio
n
w
h
et
h
er
f
ir
e
o
cc
u
r
r
ed
o
r
n
o
t.
E
f
f
ec
ti
v
e
u
s
e
o
f
m
u
ltip
l
e
s
e
n
s
o
r
s
l
ik
e
te
m
p
er
at
u
r
e
s
e
n
s
o
r
,
s
m
o
k
e
d
etec
to
r
,
h
u
m
id
i
t
y
s
en
s
o
r
etc.
a
n
d
f
u
s
i
n
g
t
h
e
in
f
o
r
m
a
tio
n
/d
ata
f
r
o
m
t
h
ese
s
en
s
o
r
s
in
r
ea
l
-
ti
m
e
w
il
l
b
e
th
e
ex
ac
t
s
i
tu
at
io
n
an
d
m
ak
e
co
m
p
lica
ted
to
o
v
er
co
m
e
o
r
b
y
p
ass
t
h
e
s
ec
u
r
it
y
t
h
r
ea
t.
4
.
5
.
3
.
Cro
s
s
Do
m
a
in Da
t
a
F
us
io
n
As
th
e
b
i
g
d
ata
ev
o
lv
e,
i
t
co
m
e
s
w
ith
m
a
n
y
c
h
alle
n
g
es
to
h
a
n
d
le
d
ata
an
d
g
et
in
s
ig
h
t
f
r
o
m
i
t.
B
ig
d
a
ta
o
p
en
a
n
e
w
ap
p
r
o
ac
h
to
v
i
s
u
al
ize
d
ata
f
r
o
m
h
i
g
h
le
v
el
w
i
th
a
co
n
cr
ete
v
i
s
io
n
.
T
h
e
d
ata
f
r
o
m
m
u
ltip
le
d
o
m
ai
n
h
av
e
m
u
ltip
le
s
ce
n
ar
io
an
d
f
u
s
in
g
t
h
e
d
ata
f
r
o
m
t
h
ese
d
o
m
a
in
s
g
i
v
e
a
n
e
w
w
a
y
to
s
o
lv
e
c
o
m
p
le
x
c
h
allen
g
e
s
.
I
t
is
o
b
v
io
u
s
t
h
at
t
h
e
d
ata
f
r
o
m
m
u
l
tip
le
d
o
m
ain
ar
e
i
n
m
u
l
tip
le
f
o
r
m
at.
E
ac
h
d
ata
i
s
h
a
n
d
led
s
ep
ar
ately
a
n
d
in
f
o
r
m
atio
n
f
r
o
m
t
h
ese
d
o
m
a
in
s
ar
e
ag
ai
n
f
u
s
ed
to
h
av
e
a
h
ig
h
-
le
v
el
co
n
cr
ete
v
i
s
u
al
iza
tio
n
o
f
d
ata.
T
h
r
ee
ca
teg
o
r
ies
o
f
d
ata
f
u
s
io
n
m
et
h
o
d
o
lo
g
ies
f
o
r
C
r
o
s
s
-
Do
m
ai
n
d
ata
f
u
s
io
n
ap
p
r
o
ac
h
ar
e
s
u
m
m
ar
ized
as
w
e
ll
as
elab
o
r
ate
th
e
ap
p
r
o
ac
h
to
u
n
l
o
ck
th
e
k
n
o
w
led
g
e
f
r
o
m
d
is
p
ar
ate
d
atasets
o
f
d
if
f
er
en
t
d
o
m
ai
n
in
t
h
e
b
ig
d
ata
r
esear
ch
[
7
]
.
4
.
5
.
4
.
B
ig
Da
t
a
F
us
io
n
I
n
ter
ac
tin
g
w
it
h
b
illi
o
n
s
o
f
r
o
w
s
o
f
d
ata
f
r
o
m
s
i
n
g
le
s
o
u
r
ce
is
n
o
t
s
u
f
f
icie
n
t,
n
o
w
ac
co
r
d
in
g
to
th
e
r
ap
id
d
ev
elo
p
m
en
t
o
f
th
ec
h
n
o
lo
g
ies
an
d
r
eq
u
ir
e
m
e
n
t
s
it
is
n
ec
es
s
ar
y
to
in
te
g
r
ate
m
u
ltip
le
s
o
u
r
ce
s
an
d
p
er
f
o
r
m
f
u
s
io
n
.
T
h
e
d
ata
f
r
o
m
m
u
lt
ip
le
s
o
u
r
ce
s
,
r
ea
l
-
ti
m
e
s
tr
ea
m
an
d
h
is
to
r
ical
d
ata
m
a
y
b
e
th
er
e
in
cl
u
d
ed
w
h
ile
d
ea
li
n
g
w
it
h
b
ig
d
ata
F
u
s
io
n
[
8
]
.
T
h
e
f
u
s
io
n
o
f
th
e
s
e
d
ata
ac
r
o
s
s
m
u
ltip
le
s
o
u
r
ce
s
an
d
t
h
e
r
es
u
lt
o
f
f
u
s
io
n
o
f
ea
ch
s
o
u
r
ce
s
g
e
t th
e
r
ig
h
t i
n
s
ig
h
t
s
.
4
.
6
.
Dec
is
io
n M
a
k
ing
Dec
is
io
n
Ma
k
i
n
g
i
s
n
o
t
an
ea
s
y
tas
k
.
T
h
er
e
is
al
w
a
y
s
a
r
eq
u
ir
e
m
e
n
t
f
o
r
ap
p
r
o
p
r
iate
d
ec
i
s
io
n
to
b
e
m
ad
e
ev
er
y
w
h
er
e
lik
e
i
n
B
u
s
i
n
es
s
,
E
n
ter
p
r
is
e,
Sto
ck
Ma
r
k
et
,
Gam
b
li
n
g
etc.
Dec
is
io
n
s
ar
e
m
ad
e
b
y
s
at
is
f
y
in
g
th
e
co
n
d
itio
n
.
Dec
is
io
n
ar
e
ta
k
en
b
y
u
s
i
n
g
Me
s
s
ag
e/
E
v
e
n
t
Dr
iv
en
A
r
ch
itec
tu
r
e,
P
r
o
ce
s
s
Dr
iv
en
A
r
ch
itec
tu
r
e
an
d
Ser
v
ice
Dr
i
v
e
n
A
r
ch
i
tectu
r
e
etc.
W
h
en
co
m
p
le
x
p
r
o
ce
s
s
in
g
is
n
o
t
r
eq
u
ir
ed
an
d
th
er
e
i
s
a
n
ee
d
to
p
er
f
o
r
m
m
is
s
io
n
cr
itica
l
o
p
er
atio
n
s
M
ess
a
g
e/E
v
e
n
t
Dr
i
v
en
A
r
c
h
itec
tu
r
e
ar
e
b
etter
to
im
p
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m
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p
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r
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d
ev
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-
t
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ig
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ac
tio
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th
at
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d
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p
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f
o
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m
ed
.
T
h
e
tr
ig
g
er
o
f
e
v
en
t/actio
n
co
u
ld
b
e
an
e
m
ail,
SMS,
co
n
tr
o
lli
n
g
d
ev
ice
s
,
ca
ll
o
th
er
e
v
e
n
t,
s
tar
t
n
e
w
p
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ce
s
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etc.
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o
m
a
k
e
a
c
o
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d
ec
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s
io
n
,
th
e
u
s
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p
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e
a
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al
y
tics
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m
ac
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ar
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in
g
,
a
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r
eg
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,
s
u
m
m
ar
izatio
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etc.
is
n
o
t
s
u
f
f
icie
n
t.
T
h
e
ef
f
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t
iv
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u
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t
h
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tec
h
n
iq
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w
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t
h
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ap
p
r
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p
r
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d
ata
f
u
s
io
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tec
h
n
iq
u
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s
as d
ef
i
n
ed
i
n
Sectio
n
3
.
5
n
ee
d
s
to
b
e
u
s
ed
.
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1253
5.
ARCH
I
T
E
C
T
UR
E
O
F
T
I
A
RRAH
CO
M
P
UT
I
NG
Fig
u
r
e
3
e
x
p
lain
d
etail
ab
o
u
t
t
h
e
T
iar
r
ah
C
o
m
p
u
ti
n
g
.
T
h
is
a
r
ch
itect
u
r
e
is
ex
p
lai
n
ed
clea
r
ly
w
it
h
th
e
f
lo
w
o
f
d
ata
a
n
d
t
h
e
ap
p
r
o
ac
h
h
o
w
i
t
i
s
h
an
d
led
.
T
h
e
b
el
o
w
d
escr
ip
tio
n
o
f
t
h
e
F
ig
u
r
e
3
will
g
iv
e
y
o
u
a
clea
r
v
is
io
n
o
f
ap
p
licatio
n
.
5
.
1
.
F
irst
T
ier
First
tier
lie
s
u
n
d
er
E
d
g
e
C
o
m
p
u
ti
n
g
.
T
h
e
d
ep
lo
y
m
e
n
t
o
f
h
ar
d
w
ar
e
w
i
th
an
ap
p
r
o
p
r
iate
n
et
w
o
r
k
co
n
n
ec
tio
n
ar
e
m
ad
e
u
s
in
g
s
ta
n
d
ar
d
p
r
o
to
co
ls
a
s
r
eq
u
ir
e
m
e
n
t.
I
n
Fi
g
u
r
e
3
t
w
o
w
id
el
y
p
o
p
u
lar
an
d
e
m
er
g
i
n
g
n
et
w
o
r
k
u
s
ed
in
w
ir
ed
an
d
w
ir
ele
s
s
co
n
n
ec
tio
n
ar
e
s
h
o
w
n
.
I
am
co
n
s
id
er
in
g
w
id
ely
u
s
ed
au
to
m
atio
n
in
d
u
s
tr
ial
d
esig
n
p
atter
n
w
it
h
d
ev
ices
li
k
e
P
L
C
,
Scad
a
etc.
So
th
at,
I
n
d
u
s
tr
ies
ca
n
ad
o
p
t
T
iar
r
ah
C
o
m
p
u
tin
g
w
it
h
t
h
eir
ex
i
s
ti
n
g
h
ar
d
w
ar
e
an
d
n
et
w
o
r
k
w
i
th
o
u
t a
n
y
m
o
d
i
f
icatio
n
o
r
w
it
h
les
s
m
o
d
i
f
icati
o
n
.
First
T
ier
o
r
E
d
g
e
C
o
m
p
u
ti
n
g
ar
ch
itec
tu
r
e
a
n
d
w
o
r
k
i
n
g
m
ec
h
an
is
m
i
s
al
m
o
s
t
s
i
m
ila
r
w
i
th
th
e
ar
ch
itect
u
r
e
an
d
w
o
r
k
i
n
g
m
ec
h
an
i
s
m
o
f
au
to
m
atio
n
i
n
d
u
s
tr
ies
(
w
it
h
les
s
m
o
d
if
icatio
n
)
.
Fig
u
r
e
3
,
illu
s
tr
ate
s
th
i
n
g
s
ca
n
b
e
d
ir
ec
tl
y
co
n
n
ec
ted
w
i
th
A
R
M
C
o
n
tr
o
ller
u
s
i
n
g
R
S
-
2
3
2
o
r
R
S
-
4
8
5
co
n
n
ec
tio
n
s
.
Mo
s
t
o
f
t
h
e
au
to
m
at
io
n
in
d
u
s
tr
ie
s
u
s
e
R
T
U
o
r
P
L
C
to
co
n
n
ec
t
th
i
n
g
s
o
r
d
ev
ices.
P
L
C
is
u
s
ed
w
h
e
r
e
th
er
e
is
n
ee
d
to
h
an
d
l
e
m
i
s
s
io
n
cr
itical
ev
e
n
t
in
r
ea
l
-
ti
m
e.
T
h
e
lo
g
ic
a
n
d
al
g
o
r
ith
m
ar
e
d
es
ig
n
ed
w
it
h
m
ess
a
g
e/ev
e
n
t
d
r
i
v
en
ar
ch
itect
u
r
e
an
d
is
e
m
b
ed
d
ed
in
P
L
C
.
W
id
el
y
u
s
ed
an
d
p
o
p
u
lar
au
to
m
atio
n
i
n
d
u
s
tr
y
co
m
m
u
n
icat
io
n
p
r
o
to
co
l
k
n
o
w
n
as
m
o
d
b
u
s
p
r
o
to
co
l
ca
n
b
e
u
s
ed
.
A
R
M
C
o
n
tr
o
ll
er
is
u
s
ed
f
o
r
d
ata
ac
q
u
is
tatio
n
o
f
th
i
n
g
s
an
d
s
e
n
d
i
n
g
th
ese
d
ata
to
Me
s
s
ag
e
B
r
o
k
er
.
A
s
s
h
o
w
n
i
n
th
e
f
i
g
u
r
e,
Mo
n
ito
r
in
g
an
d
C
o
n
tr
o
llin
g
Sectio
n
ca
n
b
e
b
u
ilt
w
it
h
th
e
tr
ad
itio
n
al
m
o
n
ito
r
in
g
an
d
co
n
tr
o
llin
g
s
y
s
te
m
u
s
in
g
Sca
d
a
o
r
ca
n
u
s
e
t
h
is
s
y
s
te
m
i
n
s
i
d
e
f
o
r
m
o
n
ito
r
i
n
g
an
d
co
n
tr
o
lli
n
g
.
T
h
e
ad
v
a
n
ta
g
e
th
at
t
h
i
s
s
y
s
te
m
g
i
v
es
in
b
e
h
av
e
o
f
Scad
a
is
t
h
at
i
t
ca
n
b
e
u
s
ed
to
m
o
n
ito
r
a
n
d
co
n
tr
o
l
f
r
o
m
an
y
w
h
er
e
an
d
an
y
t
i
m
e
w
i
th
ea
s
e.
FP
GA
d
esi
g
n
p
atter
n
ca
n
b
e
u
s
ed
in
t
h
i
s
tier
u
s
in
g
m
o
d
b
u
s
p
r
o
to
co
l
[
2
5
]
.
A
R
M
C
o
n
tr
o
ller
ca
n
b
e
co
n
n
ec
ted
w
it
h
R
o
u
ter
u
s
in
g
W
i
-
Fi
o
r
w
ir
ed
co
n
n
ec
t
io
n
.
T
h
e
f
ig
u
r
e
s
h
o
w
s
a
w
ir
ed
co
n
n
ec
tio
n
u
s
i
n
g
E
th
er
n
et
(
R
J
-
4
5
)
co
n
n
ec
tio
n
.
T
h
e
Fig
u
r
e
3
a
ls
o
s
h
o
w
s
a
n
o
th
er
v
er
y
p
o
p
u
lar
an
d
e
m
er
g
i
n
g
w
ir
e
less
co
n
n
ec
t
io
n
p
r
o
to
co
l
b
ein
g
u
s
ed
i
n
I
o
T
to
m
ak
e
a
n
ap
p
li
c
atio
n
k
n
o
w
n
as
Z
i
g
b
ee
P
r
o
to
c
o
l.
Dev
ices o
r
T
h
in
g
s
ca
n
b
e
d
ir
ec
tl
y
co
n
n
ec
ted
to
Z
i
g
b
ee
De
v
ices
u
s
i
n
g
GP
I
O.
Z
i
g
b
ee
d
ev
ice
ca
n
h
a
v
e
m
u
lti
p
le
t
y
p
e
o
f
i
n
p
u
t
co
n
n
ec
tio
n
l
ik
e
R
J
-
4
5
,
R
S
-
2
3
2
,
Wi
-
Fi
etc
a
n
d
s
u
p
p
o
r
t
m
u
l
tip
l
e
p
r
o
to
co
ls
lik
e
T
C
P
/I
P
,
Mo
d
b
u
s
etc.
B
ec
au
s
e
o
f
t
h
at
f
etc
h
i
n
g
d
ata
f
r
o
m
P
L
C
,
R
T
U
ca
n
b
e
p
er
f
o
r
m
ed
u
s
i
n
g
m
o
d
b
u
s
p
r
o
to
co
l.
Z
i
g
b
ee
s
u
p
p
o
r
t
p
o
p
u
lar
to
p
o
lo
g
ies
lik
e
Me
s
h
to
p
o
lo
g
y
,
Star
to
p
o
lo
g
y
a
n
d
T
r
ee
to
p
o
lo
g
y
b
ec
au
s
e
o
f
t
h
at
Z
i
g
b
ee
is
b
ec
o
m
i
n
g
m
o
r
e
p
o
p
u
lar
.
Z
ig
b
ee
d
ev
ices
co
n
s
u
m
e
le
s
s
p
o
w
er
an
d
u
s
e
w
ir
ele
s
s
co
m
m
u
n
icat
io
n
n
e
t
w
o
r
k
f
o
r
ex
c
h
an
g
i
n
g
d
ata
b
et
w
ee
n
Z
ig
b
ee
Slav
e
an
d
Z
i
g
b
ee
Ma
s
ter
.
Z
i
g
b
ee
Ma
s
ter
is
co
n
n
ec
ted
w
it
h
th
e
R
o
u
ter
to
h
a
v
e
a
W
A
N
n
e
t
w
o
r
k
co
n
n
ec
tio
n
f
o
r
ex
ch
an
g
i
n
g
d
ata.
5
.
2
.
Seco
nd
T
ier
T
h
is
tier
lies
u
n
d
er
Fo
g
C
o
m
p
u
ti
n
g
.
Fo
g
C
o
m
p
u
ti
n
g
i
s
e
v
o
lv
in
g
an
d
e
m
er
g
in
g
to
d
is
tr
ib
u
te
th
e
clo
u
d
r
esp
o
n
s
ib
ilit
y
o
r
s
er
v
ices
as
c
lo
s
e
to
th
e
d
ata
s
o
u
r
ce
f
o
r
q
u
ick
an
d
i
m
m
ed
iate
i
n
ter
ac
tio
n
.
T
h
e
s
er
v
ices
ar
e
d
ep
lo
y
ed
in
s
id
e
DM
Z
n
et
w
o
r
k
.
DM
Z
n
et
w
o
r
k
i
s
a
s
ep
ar
at
e
n
et
w
o
r
k
o
t
h
er
t
h
an
L
AN
a
n
d
W
AN
n
et
w
o
r
k
.
L
A
N
n
et
w
o
r
k
lies
i
n
f
ir
s
t
t
ie
r
an
d
W
A
N
n
et
w
o
r
k
l
ies
i
n
th
ir
d
tier
.
A
s
ap
p
licatio
n
i
s
m
icr
o
s
er
v
ie
s
b
ased
ap
p
licatio
n
.
Mic
r
o
s
er
v
ie
s
ar
e
d
ep
lo
y
ed
i
n
s
tan
d
ar
d
s
er
v
er
o
r
a
p
r
iv
ate
clo
u
d
[
1
0
]
d
ep
en
d
in
g
o
n
th
e
t
y
p
e
s
o
f
s
er
v
ices
d
ep
lo
y
ed
in
th
i
s
tie
r
.
Mic
r
o
s
er
v
ices
ar
e
d
e
p
lo
y
e
d
in
p
u
b
lic
clo
u
d
as
w
el
l
as
in
p
r
iv
ate
clo
u
d
.
Mic
r
o
s
er
v
ies
ar
e
d
ep
lo
y
ed
in
th
is
tier
to
ac
h
iev
e
lo
w
laten
c
y
,
r
ea
l
-
ti
m
e
in
ter
ac
tio
n
s
,
ap
p
licatio
n
d
is
tr
ib
u
tio
n
,
ev
en
t
h
a
n
d
lin
g
,
p
r
o
ce
s
s
h
a
n
d
li
n
g
etc.
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
s
e
r
v
ices
d
ep
lo
y
ed
f
o
r
r
ea
l
-
ti
m
e
i
n
ter
ac
tio
n
i
s
f
a
s
ter
in
t
h
i
s
la
y
er
a
s
co
m
p
ar
e
to
t
h
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I
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RE
F
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NC
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S
[1
]
J.
A
.
S
tan
k
o
v
ic,
“
Re
s
e
a
rc
h
d
irec
ti
o
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s
f
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r
th
e
I
n
tern
e
t
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T
h
in
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s”
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IEE
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In
ter
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t
o
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T
h
in
g
s
J
.
,
v
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l.
1
,
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.
1
,
p
p
.
3
-
9
,
F
e
b
.
2
0
1
4
.
[2
]
Am
ir
V
a
h
id
Da
stjerd
i,
Ra
jk
u
m
a
r
Bu
y
y
a
,
“
F
o
g
Co
m
p
u
ti
n
g
:
He
lp
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g
th
e
In
tern
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T
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s
Re
a
li
z
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Its
P
o
ten
ti
a
l”,
IEE
E
Co
m
p
u
ter
S
o
c
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l.
4
9
,
n
o
.
8
,
p
p
.
1
1
2
-
1
1
6
,
A
u
g
.
2
0
1
6
.
[3
]
Du
sit
Niy
a
to
,
L
u
X
iao
,
P
i
n
g
W
a
n
g
,
“
M
a
c
h
in
e
-
to
-
m
a
c
h
in
e
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o
m
m
u
n
ica
ti
o
n
s
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e
m
e
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t
sy
st
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m
in
s
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rid
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E
Co
mm
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io
n
s M
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zin
e
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4
9
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4
,
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5
3
-
5
9
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2
0
1
1
.
[4
]
A
le
x
a
n
d
ru
lo
s
u
p
,
S
im
o
n
Os
term
a
n
n
,
M
.
Ne
z
ih
Yig
it
b
a
si,
“
P
e
rf
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rm
a
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A
n
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l
y
sis
o
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Co
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S
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s
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y
-
T
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s
k
s
S
c
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f
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Co
m
p
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g
”
,
IEE
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T
ra
n
sa
c
ti
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n
s
o
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Pa
ra
ll
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a
n
d
Distri
b
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S
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ste
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2
2
,
n
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6,
p
p
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9
3
1
-
9
4
5
,
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n
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2
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1
.
[5
]
Bin
g
w
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i
L
iu
,
Yu
Ch
e
n
,
A
ri
Ha
d
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s,
Eri
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x
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e
n
,
G
e
n
sh
e
Ch
e
n
,
“
In
f
o
r
m
a
t
io
n
f
u
sio
n
i
n
a
c
lo
u
d
c
o
m
p
u
ti
n
g
e
ra
:
A
s
y
ste
m
s
lev
e
l
p
e
rsp
e
c
ti
v
e
”
,
IEE
E
Aer
o
sp
a
c
e
a
n
d
E
lec
tro
n
ic
S
y
ste
ms
M
a
g
a
zin
e
,
v
o
l.
2
9
,
n
o
,
1
0
,
p
p
.
16
-
2
4
,
Oc
t.
2
0
1
4
.
[6
]
Da
v
id
L
.
Ha
ll
,
J
a
m
e
s
L
li
n
a
s,
“
An
In
tro
d
u
c
ti
o
n
to
M
u
lt
ise
n
so
r
Da
t
a
Fu
sio
n
”
,
P
r
o
c
.
o
f
IEE
E,
v
o
l.
8
5
,
p
p
.
6
-
2
3
,
Ja
n
.
1
9
9
7
.
[7
]
Yu
Zh
e
n
g
,
“
M
e
th
o
d
o
lo
g
ies
f
o
r
C
ro
ss
-
Do
m
a
in
Da
ta
F
u
sio
n
:
A
n
Ov
e
rv
ie
w
”
,
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
B
ig
Da
t
a
,
v
o
l.
1
,
n
o
.
1
,
p
p
.
1
6
-
3
3
,
M
a
r.
2
0
1
5
.
[8
]
G
e
o
rg
e
S
u
c
iu
,
A
le
x
a
n
d
ru
V
u
l
p
e
,
Ra
z
v
a
n
Cr
a
c
iu
n
e
sc
u
,
Cristi
n
a
Bu
tca
,
V
icto
r
S
u
c
i
u
,
“
Bi
g
Da
ta
Fu
s
io
n
fo
r
e
He
a
l
t
h
a
n
d
Amb
ien
t
Assiste
d
L
ivi
n
g
Clo
u
d
A
p
p
li
c
a
ti
o
n
s”
,
P
r
o
c
.
o
f
IEE
E
I
n
tern
a
ti
o
n
a
l
B
lac
k
S
e
a
Co
n
f
e
re
n
c
e
o
n
Co
m
m
u
n
ica
ti
o
n
a
n
d
Ne
tw
o
rk
in
g
(Blac
k
S
e
a
Co
m
),
p
p
.
1
0
2
-
1
0
6
,
2
0
1
5
.
[9
]
Ya
n
ish
P
ra
d
h
a
n
a
n
g
a
,
S
h
ri
d
e
v
i
Ka
ra
n
d
e
,
Ch
a
n
d
ra
p
ra
k
a
sh
Ka
ra
n
d
e
,
“
Hig
h
Per
fo
rm
a
n
c
e
An
a
lyti
c
s
o
f
Bi
g
d
a
t
a
wit
h
Dy
n
a
mic
a
n
d
O
p
ti
mize
d
H
a
d
o
o
p
Clu
ste
r”,
P
r
o
c
.
IEE
E
In
ter
n
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
A
d
v
a
n
c
e
d
Co
m
m
u
n
ica
ti
o
n
Co
n
tr
o
l
a
n
d
Co
m
p
u
ti
n
g
T
e
c
h
n
o
lo
g
ies
(IC
A
CCC
T
),
p
p
.
7
1
5
-
7
2
0
,
Ja
n
.
2
0
1
7
.
[1
0
]
Ro
b
e
rt
Birk
e
,
A
n
d
re
j
P
o
d
z
im
e
k
,
Ly
d
ia
Y.
Ch
e
n
,
Ev
g
e
n
ia
S
m
i
m
i,
“
V
irt
u
a
li
z
a
ti
o
n
in
t
h
e
P
r
iv
a
te
Clo
u
d
:
S
tate
o
f
th
e
P
ra
c
ti
c
e
”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
Ne
two
rk
a
n
d
S
e
rv
ice
M
a
n
a
g
e
me
n
t
,
v
o
l.
1
3
,
n
o
.
3
,
p
p
.
6
0
8
-
6
2
1
,
A
u
g
.
2
0
1
6
.
[1
1
]
Da
v
id
S
.
L
in
th
icu
m
,
“
P
ra
c
ti
c
a
l
Us
e
o
f
M
icro
se
rv
i
c
e
s
in
M
o
v
in
g
Wo
rk
lo
a
d
s
to
t
h
e
Clo
u
d
”
,
IEE
E
C
lo
u
d
Co
m
p
u
t
in
g
,
v
o
l.
3
,
n
o
.
5
,
p
p
.
6
-
9
,
No
v
.
2
0
1
6
.
[1
2
]
T
h
a
sv
i
y
a
Ha
ro
o
n
,
S
Ne
e
n
a
,
K
K
Krish
n
a
p
ra
sa
d
,
Re
j
o
ice
W
il
so
n
,
S
a
n
jo
S
im
o
n
,
Jo
h
n
P
a
u
l
M
a
r
ti
n
,
“
Co
n
v
ivia
l
p
riv
a
te
c
lo
u
d
imp
lem
e
n
ta
ti
o
n
s
y
ste
m
u
sin
g
Op
e
n
S
ta
c
k
”
,
P
ro
c
.
IEE
E
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
El
e
c
tri
c
a
l,
El
e
c
tro
n
ics
,
a
n
d
Op
ti
m
iza
ti
o
n
T
e
c
h
n
iq
u
e
s(ICEEOT
),
No
v
.
2
0
1
6
.
[1
3
]
Op
e
n
sta
c
k
,
h
tt
p
:
//
ww
w
.
o
p
e
n
sta
c
k
.
o
rg
,
2
0
1
6
,
(
2
9
.
0
9
.
2
0
1
6
)
[1
4
]
Ya
n
ish
P
ra
d
h
a
n
a
n
g
a
,
S
h
rid
e
v
i
Ka
ra
n
d
e
,
Ch
a
n
d
ra
p
ra
k
a
sh
Ka
ra
n
d
e
,
“
CBA
:
Clo
u
d
-
b
a
se
d
Bi
g
d
a
t
a
A
n
a
lytics
”
,
P
r
o
c
.
IEE
E
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Co
m
p
u
ti
n
g
Co
m
m
u
n
ica
ti
o
n
Co
n
tro
l
a
n
d
A
u
to
m
a
ti
o
n
(ICCUBEA
),
p
p
.
4
7
-
5
1
,
J
u
l.
2
0
1
5
.
[1
5
]
D
m
it
r
y
Du
p
l
y
a
k
in
,
M
a
tt
h
e
w
Ha
n
e
y
,
He
n
r
y
T
u
f
o
,
“
Hig
h
ly
Ava
il
a
b
le
Clo
u
d
-
B
a
se
d
Clu
ste
r
M
a
n
a
g
e
me
n
t”
,
P
ro
c
.
IEE
E
1
5
th
In
ter
n
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
Cl
u
ste
r,
Clo
u
d
a
n
d
G
rid
Co
m
p
u
ti
n
g
(CCG
rid
),
Ju
l.
2
0
1
5
.
[1
6
]
Da
n
iel
S
u
n
,
M
in
F
u
,
L
im
in
g
Zh
u
,
G
u
o
q
ian
g
L
i,
Qin
g
h
u
a
L
u
,
“
N
o
n
-
I
n
tru
siv
e
A
n
o
m
a
l
y
De
te
c
ti
o
n
w
it
h
S
trea
m
in
g
P
e
rf
o
rm
a
n
c
e
M
e
tri
c
s
a
n
d
L
o
g
s
f
o
r
De
v
Op
s
in
P
u
b
li
c
Clo
u
d
s:
A
C
a
se
S
tu
d
y
in
AW
S
”
,
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Eme
rg
in
g
T
o
p
ics
in
Co
mp
u
ti
n
g
,
v
o
l.
4
,
n
o
.
2,
p
p
.
2
7
8
-
2
8
9
,
Ju
n
.
2
0
1
6
.
[1
7
]
L
ian
p
in
g
Ch
e
n
,
“
Co
n
ti
n
u
o
u
s
De
l
iv
e
r
y
:
Hu
g
e
Be
n
e
f
it
s,
b
u
t
Ch
a
ll
e
n
g
e
s
T
o
o
”
,
IEE
E
S
o
ft
w
a
re
,
v
o
l.
3
2
,
p
p
.
5
0
-
5
4
,
no.
2
,
A
p
r.
2
0
1
5
.
[1
8
]
A
lan
S
il
l,
“
T
h
e
De
sig
n
a
n
d
A
rc
h
it
e
c
tu
re
o
f
M
icro
se
rv
ice
s”
,
IEE
E
Clo
u
d
C
o
mp
u
ti
n
g
,
v
o
l
.
3
,
n
o
.
5,
p
p
.
7
6
-
8
0,
No
v
.
2
0
1
6
.
[1
9
]
Ch
risti
a
n
Es
p
o
sit
o
,
A
n
iello
Ca
sti
g
li
o
n
e
,
Kim
-
K
w
a
n
g
Ra
y
m
o
n
d
Ch
o
o
,
“
Ch
a
ll
e
n
g
e
s
in
De
li
v
e
rin
g
S
o
f
tw
a
r
e
in
th
e
Clo
u
d
a
s M
icro
se
rv
ice
s”
,
IEE
E
C
lo
u
d
Co
m
p
u
t
in
g
,
v
o
l.
3
,
n
o
.
5
,
p
p
.
1
0
-
1
4
,
No
v
.
2
0
1
6
.
[2
0
]
Yu
ri
A
lv
a
re
z
,
F
e
rn
a
n
d
o
L
a
s
He
ra
s,
“
Zi
g
Be
e
-
b
a
s
e
d
S
e
n
so
r
Ne
tw
o
rk
f
o
r
In
d
o
o
r
L
o
c
a
ti
o
n
a
n
d
T
ra
c
k
in
g
A
p
p
li
c
a
ti
o
n
s”
,
IEE
E
L
a
ti
n
Ame
ric
a
T
ra
n
sa
c
ti
o
n
s
,
v
o
l
.
1
4
,
n
o
.
7
,
p
p
.
3
2
0
8
-
3
2
1
4
,
J
u
l.
2
0
1
6
.
[2
1
]
Zu
o
c
h
e
n
S
h
i,
Yin
tan
g
Ya
n
g
,
Di
L
i,
Y
a
n
g
L
iu
,
“
A
F
u
ll
y
-
In
teg
ra
ted
L
o
w
-
P
o
w
e
r
A
n
a
lo
g
F
ro
n
t
-
E
n
d
f
o
r
Zi
g
Be
e
T
ra
n
s
m
it
ter
A
p
p
li
c
a
ti
o
n
s”
,
IE
EE
Ch
in
e
se
J
o
u
r
n
a
l
o
f
El
e
c
tro
n
ics
,
v
o
l.
2
5
,
n
o
.
3
,
p
p
.
4
2
4
-
4
3
1
,
A
u
g
.
2
0
1
6
.
[2
2
]
Eu
g
e
n
e
Da
v
id
Ng
a
n
g
u
e
Nd
ih
,
S
o
u
m
a
y
a
Ch
e
r
k
a
o
u
i,
“
On
En
h
a
n
c
in
g
T
e
c
h
n
o
lo
g
y
Co
e
x
ist
e
n
c
e
i
n
th
e
IOT
Era:
Zi
g
Be
e
a
n
d
8
0
2
.
1
1
Ca
se
”
,
IEE
E
Acc
e
ss
,
v
o
l.
4
,
p
p
.
1
8
3
5
-
1
8
4
4
,
A
p
r.
2
0
1
6
.
[2
3
]
M
ik
h
a
il
Af
n
a
s
y
e
v
,
T
su
w
e
i
Ch
e
n
,
G
e
o
ff
r
e
y
M
.
V
o
e
lk
e
r,
A
le
x
C.
S
n
o
e
re
n
,
“
Us
a
g
e
P
a
tt
e
rn
s
in
a
n
Urb
a
n
W
iF
i
Ne
tw
o
rk
”
,
IEE
E/
ACM
T
ra
n
sa
c
ti
o
n
s o
n
Ne
two
rk
in
g
,
v
o
l
.
1
8
,
n
o
.
5
,
p
p
.
1
3
5
9
-
1
3
7
2
,
Oc
t.
2
0
1
0
.
[2
4
]
Blu
e
to
o
th
,
h
tt
p
s://
w
ww
.
b
lu
e
to
o
t
h
.
o
rg
/,
2
0
1
6
(a
c
c
e
ss
e
d
1
7
.
1
0
.
2
0
1
6
)
.
[2
5
]
Ja
i
m
e
e
n
N.
Ch
h
a
traw
a
la,
Na
n
d
ish
Ja
sa
n
i,
V
i
d
it
a
T
il
v
a
,
“
FP
GA
b
a
se
d
d
a
t
a
Acq
u
isti
o
n
wit
h
M
o
d
b
u
s
p
r
o
to
c
o
l”
,
P
r
o
c
.
I
n
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Co
m
m
u
n
ica
ti
o
n
a
n
d
S
ig
n
a
l
P
ro
c
e
ss
in
g
(ICCS
P
),
No
v
.
2
0
1
6
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