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ed
s
tr
u
ctu
r
al
ch
an
g
es
with
in
Face
b
o
o
k
to
ef
f
ec
tiv
ely
m
an
a
g
e
th
e
v
ast
am
o
u
n
ts
o
f
d
ata
g
en
er
ated
b
y
u
s
er
in
ter
ac
tio
n
s
an
d
co
n
ten
t sh
ar
in
g
.
A
s
n
o
ted
in
[
1
3
]
,
th
e
p
latf
o
r
m
h
as e
v
o
lv
ed
th
r
o
u
g
h
th
e
im
p
lem
en
tatio
n
o
f
ad
v
a
n
c
ed
tech
n
o
lo
g
ies,
in
clu
d
in
g
r
ea
l
-
tim
e
m
ess
ag
in
g
,
u
s
er
u
p
d
ates,
an
d
ef
f
icien
t
d
ata
r
etr
iev
al
s
y
s
tem
s
.
Fu
r
th
er
m
o
r
e,
th
e
d
ev
elo
p
m
en
t
o
f
s
ca
lab
le
s
o
lu
tio
n
s
lik
e
t
h
e
Me
s
s
en
g
er
Sy
n
c
p
r
o
to
co
l,
wh
ich
g
r
ea
tly
r
ed
u
ce
s
n
o
n
-
m
e
d
ia
d
ata
co
n
s
u
m
p
tio
n
,
u
n
d
er
s
co
r
es
Face
b
o
o
k
’
s
co
m
m
itm
e
n
t
to
im
p
r
o
v
in
g
u
s
er
ex
p
er
ien
ce
as
d
em
a
n
d
s
in
cr
e
ase.
T
h
is
co
n
tin
u
o
u
s
ev
o
l
u
tio
n
em
p
h
asizes
th
e
cr
u
cial
r
elatio
n
s
h
ip
b
etwe
en
ar
ch
itectu
r
e
an
d
u
s
er
n
ee
d
s
in
Face
b
o
o
k
’
s
s
tr
ateg
ic
d
ir
ec
tio
n
.
T
h
e
ab
ilit
y
to
s
ca
le
tech
n
o
l
o
g
y
ar
c
h
itectu
r
e
e
f
f
ec
tiv
ely
is
im
p
o
r
tan
t
f
o
r
m
ain
tain
i
n
g
p
er
f
o
r
m
an
ce
a
n
d
r
eliab
ilit
y
in
ap
p
licatio
n
s
with
h
ig
h
tr
af
f
ic,
esp
ec
ially
in
d
ata
-
h
ea
v
y
e
n
v
ir
o
n
m
e
n
ts
.
Face
b
o
o
k
h
as
co
n
tin
u
o
u
s
ly
ch
an
g
e
d
its
ar
ch
itectu
r
al
p
ar
ts
to
k
ee
p
u
p
wit
h
th
e
r
ap
i
d
in
cr
ea
s
e
in
u
s
er
in
ter
ac
tio
n
s
an
d
d
ata
s
h
ar
in
g
,
f
o
c
u
s
in
g
o
n
th
e
r
es
ilien
ce
o
f
its
m
es
s
ag
in
g
s
y
s
tem
s
.
Pro
p
er
s
ca
lin
g
en
s
u
r
es
o
p
tim
al
r
eso
u
r
ce
u
tili
za
tio
n
,
p
r
ev
e
n
tin
g
p
o
ten
t
ial
b
o
ttlen
ec
k
s
d
u
r
in
g
h
ig
h
wo
r
k
l
o
ad
s
.
Fo
r
e
x
am
p
le,
s
ta
n
d
ar
d
s
ch
e
d
u
lin
g
m
eth
o
d
s
lik
e
f
ir
s
t
in
,
f
ir
s
t
o
u
t
(
FIFO)
o
f
ten
d
o
n
o
t
m
ee
t
d
em
an
d
s
,
as
m
en
tio
n
ed
in
[
1
4
]
.
B
y
u
s
in
g
s
m
ar
t
s
ch
ed
u
lin
g
m
et
h
o
d
s
th
at
co
n
s
id
er
jo
b
s
izes
an
d
n
o
d
e
lo
ad
s
,
o
r
g
a
n
izatio
n
s
ca
n
im
p
r
o
v
e
ef
f
icie
n
cy
a
n
d
r
esp
o
n
s
e
tim
es,
ac
h
ie
v
in
g
a
b
alan
ce
b
etwe
en
r
eso
u
r
ce
d
is
tr
ib
u
tio
n
f
o
r
s
h
o
r
t
an
d
lo
n
g
j
o
b
s
.
I
n
th
e
en
d
,
as
s
y
s
tem
s
g
r
o
w,
cr
ea
tin
g
f
lex
ib
le
s
ca
lin
g
s
tr
ateg
ies
b
ec
o
m
es
ess
en
tial,
h
ig
h
lig
h
tin
g
a
p
r
o
ac
tiv
e
ap
p
r
o
ac
h
in
tech
n
o
lo
g
y
ar
ch
itectu
r
e
th
at
p
r
ep
ar
es f
o
r
f
u
tu
r
e
n
ee
d
s
wh
ile
m
ax
im
izin
g
ex
is
tin
g
ca
p
ab
ilit
ies.
T
h
e
m
an
ag
em
e
n
t
o
f
b
ig
d
ata
in
to
d
ay
’
s
d
ata
en
v
ir
o
n
m
e
n
ts
in
v
o
lv
es
h
an
d
lin
g
lar
g
e
v
o
lu
m
es,
r
ap
id
p
r
o
ce
s
s
in
g
,
an
d
d
iv
e
r
s
e
f
o
r
m
a
ts
,
wh
ich
clo
s
ely
r
elate
to
th
e
co
n
ce
p
t
o
f
h
ea
v
y
wo
r
k
lo
ad
s
.
Hea
v
y
wo
r
k
lo
ad
s
o
cc
u
r
wh
en
s
y
s
tem
s
ar
e
r
eq
u
i
r
ed
to
p
r
o
ce
s
s
s
u
b
s
tan
tial
am
o
u
n
ts
o
f
tr
an
s
ac
tio
n
al
d
ata
an
d
co
n
d
u
ct
r
ea
l
-
tim
e
an
aly
s
es,
as
ex
em
p
lifie
d
b
y
p
latf
o
r
m
s
lik
e
Face
b
o
o
k
th
at
m
an
ag
e
b
illi
o
n
s
o
f
m
ess
ag
e
s
d
aily
[
1
5
]
.
T
h
is
co
m
p
lex
ity
d
em
a
n
d
s
r
o
b
u
s
t
in
f
r
astru
ctu
r
es
ca
p
a
b
le
o
f
s
ca
lin
g
ef
f
icien
tl
y
to
m
ee
t
ev
o
lv
i
n
g
d
em
an
d
s
,
wh
ich
is
im
p
o
r
tan
t
f
o
r
p
r
eser
v
i
n
g
s
tab
le
o
p
er
atio
n
al
p
e
r
f
o
r
m
an
ce
.
B
ig
d
ata
r
ef
er
s
to
d
atasets
th
at
ex
ce
ed
th
e
ca
p
ac
it
y
o
f
tr
ad
itio
n
al
d
ata
-
p
r
o
ce
s
s
in
g
to
o
ls
,
th
er
eb
y
n
ec
ess
itatin
g
ad
v
an
ce
d
alg
o
r
ith
m
s
an
d
s
y
s
tem
s
f
o
r
ef
f
ec
tiv
e
m
an
ag
em
en
t.
Fo
r
in
s
tan
ce
,
t
h
e
in
teg
r
atio
n
o
f
h
ig
h
-
p
er
f
o
r
m
an
ce
co
m
p
u
tin
g
a
n
d
clo
u
d
s
to
r
ag
e
s
ig
n
if
ies
a
m
ajo
r
ad
v
an
ce
m
e
n
t,
en
h
a
n
cin
g
co
m
p
u
tin
g
p
o
wer
wh
ile
r
ed
u
cin
g
co
s
ts
.
T
h
is
ev
o
lu
tio
n
m
ak
es
it
es
s
en
tial
f
o
r
n
ew
tech
n
o
l
o
g
ies
to
a
d
d
r
ess
th
e
ch
allen
g
es
ass
o
cia
ted
wit
h
h
ea
v
y
wo
r
k
lo
ad
s
in
b
ig
d
a
ta
p
r
o
ce
s
s
in
g
[
1
6
]
.
C
o
n
s
eq
u
en
tly
,
g
r
asp
in
g
th
ese
co
n
ce
p
ts
is
v
ital
f
o
r
tack
lin
g
t
h
e
ch
allen
g
es
an
d
s
eizin
g
o
p
p
o
r
tu
n
ities
with
in
t
h
e
tech
n
o
lo
g
y
s
ec
to
r
,
wh
ic
h
r
elie
s
h
ea
v
ily
o
n
d
ata.
T
h
e
r
esear
ch
s
tu
d
y
aim
s
to
ex
am
in
e
th
e
ch
an
g
es,
cu
r
r
en
t
m
eth
o
d
s
,
an
d
f
u
tu
r
e
d
ir
ec
tio
n
s
o
f
Face
b
o
o
k
’
s
ar
ch
itectu
r
al
an
d
tech
n
o
lo
g
ical
im
p
r
o
v
em
e
n
ts
co
n
ce
r
n
in
g
h
ea
v
y
wo
r
k
lo
ad
s
an
d
b
ig
d
ata
r
eq
u
ir
em
e
n
ts
.
B
y
an
aly
zin
g
p
ast
d
ata
m
an
a
g
em
en
t
an
d
s
y
s
tem
d
esig
n
,
t
h
is
s
tu
d
y
wil
l
d
em
o
n
s
tr
ate
h
o
w
Face
b
o
o
k
’
s
s
ca
lin
g
m
eth
o
d
s
h
av
e
ef
f
ec
tiv
ely
a
d
d
r
ess
ed
th
e
ch
allen
g
es
ass
o
ciate
d
with
an
ex
p
an
d
in
g
u
s
er
b
ase
an
d
lar
g
e
v
o
lu
m
es
o
f
d
at
a.
T
h
is
r
esear
ch
will
lo
o
k
at
h
o
w
u
s
in
g
clo
u
d
s
to
r
ag
e
an
d
p
o
wer
f
u
l
co
m
p
u
tin
g
h
elp
s
im
p
r
o
v
e
ef
f
icien
cy
,
m
a
k
in
g
s
u
r
e
r
eso
u
r
ce
s
a
r
e
u
s
ed
well
an
d
p
e
r
f
o
r
m
an
ce
s
tay
s
s
tead
y
d
u
r
in
g
b
u
s
y
tim
es.
Fu
r
th
er
m
o
r
e,
it will e
x
p
lo
r
e
th
e
im
p
ac
t
o
f
v
a
r
io
u
s
s
ca
lin
g
tech
n
iq
u
es,
s
u
ch
as tr
an
s
itio
n
in
g
f
r
o
m
HB
ase
to
My
R
o
ck
s
[
1
7
]
,
[
1
8
]
,
to
en
h
an
ce
d
ata
r
etr
iev
al.
T
h
e
r
ese
ar
ch
will
al
s
o
h
ig
h
lig
h
t
Sh
iv
a
n
g
’
s
f
in
d
i
n
g
s
[
1
6
]
r
eg
ar
d
in
g
th
e
im
p
o
r
tan
c
e
o
f
s
y
s
tem
ar
ch
itectu
r
e
in
h
ig
h
-
d
e
m
an
d
s
ce
n
a
r
io
s
.
C
o
llectiv
ely
,
th
ese
o
b
jectiv
es
will
p
o
in
t
o
u
t
t
h
e
im
p
o
r
tan
ce
o
f
ar
ch
itectu
r
al
ch
an
g
es
in
s
u
p
p
o
r
tin
g
g
r
o
wth
with
in
s
o
ci
al
m
ed
ia
p
latf
o
r
m
s
.
A
th
o
r
o
u
g
h
a
n
aly
s
is
o
f
th
e
e
v
o
lu
tio
n
o
f
Face
b
o
o
k
’
s
tech
n
o
l
o
g
y
a
n
d
s
tr
u
ctu
r
e
is
ess
en
tial,
esp
ec
ially
g
iv
en
th
e
ch
allen
g
es
r
elate
d
to
m
an
ag
in
g
lar
g
e
d
ata
s
ets
an
d
h
ea
v
y
u
s
ag
e.
T
h
e
s
tr
u
ctu
r
e
o
f
th
e
s
tu
d
y
b
eg
in
s
with
an
in
tr
o
d
u
ctio
n
th
at
o
u
tlin
es
th
e
b
ac
k
g
r
o
u
n
d
an
d
s
ig
n
if
ican
ce
o
f
th
e
t
o
p
ic.
T
h
is
is
f
o
llo
wed
b
y
a
b
r
ief
lite
r
atu
r
e
r
ev
iew
th
at
s
y
n
th
esizes
p
r
e
v
io
u
s
wo
r
k
o
n
s
ca
lab
le
ar
ch
it
ec
tu
r
es
an
d
in
n
o
v
ativ
e
s
tr
ateg
ies
em
p
lo
y
e
d
b
y
Face
b
o
o
k
to
m
an
ag
e
r
ea
l
-
tim
e
u
s
er
en
g
a
g
em
en
t
an
d
d
a
ta
p
r
o
ce
s
s
in
g
[
1
5
]
.
T
h
e
s
tu
d
y
will
th
en
r
ev
iew
Face
b
o
o
k
'
s
tech
n
o
lo
g
ical
h
is
to
r
y
,
co
m
p
a
r
in
g
ea
r
lier
s
y
s
tem
s
with
cu
r
r
e
n
t
o
n
es,
p
ar
ticu
la
r
ly
f
o
c
u
s
in
g
o
n
th
e
in
teg
r
atio
n
o
f
clo
u
d
s
to
r
a
g
e
in
h
ig
h
-
p
er
f
o
r
m
an
ce
c
o
m
p
u
tin
g
s
etu
p
s
to
b
o
o
s
t
p
er
f
o
r
m
an
c
e
an
d
r
ed
u
ce
co
s
ts
[
1
6
]
.
Fin
ally
,
th
e
c
o
n
clu
s
io
n
will
n
o
t
o
n
ly
s
u
m
m
ar
ize
th
e
f
in
d
in
g
s
b
u
t
also
p
r
o
v
id
e
r
ec
o
m
m
en
d
atio
n
s
f
o
r
f
u
tu
r
e
r
esear
ch
an
d
p
r
ac
tices,
illu
s
tr
atin
g
h
o
w
tec
h
n
o
lo
g
ica
l
ad
v
an
ce
m
e
n
ts
in
f
lu
en
ce
th
e
o
n
g
o
in
g
g
r
o
wth
o
f
s
o
cial
m
ed
ia
p
latf
o
r
m
s
lik
e
Fa
ce
b
o
o
k
.
2.
H
I
ST
O
R
I
CA
L
CO
NT
E
X
T
O
F
F
ACEB
O
O
K
’
S AR
CH
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T
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h
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ev
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p
m
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Face
b
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k
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ates
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m
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em
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p
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ase,
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ef
lectin
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e
b
r
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ad
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r
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tex
t
o
f
tech
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ical
c
h
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g
e
s
in
th
e
d
ig
ital
ag
e
.
I
n
itially
,
Face
b
o
o
k
’
s
ar
ch
itectu
r
e
was
s
im
p
le,
u
tili
zin
g
a
L
in
u
x
,
Ap
ac
h
e,
My
SQL,
an
d
P
HP
(
L
AM
P
)
s
tack
as
its
p
r
im
ar
y
p
latf
o
r
m
.
Fig
u
r
e
1
d
em
o
n
s
tr
ates
th
at
th
e
Face
b
o
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k
m
ess
ag
in
g
co
m
p
o
n
en
t
in
i
tially
d
ep
en
d
ed
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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:
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I
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3
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HB
ase,
a
d
is
tr
ib
u
ted
f
ile
s
y
s
tem
(
HDFS)
b
ased
o
n
Ha
d
o
o
p
.
HB
ase
is
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o
p
en
-
s
o
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r
ce
,
n
o
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-
r
elatio
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a
l
d
is
tr
ib
u
ted
d
atab
ase
in
s
p
ir
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d
b
y
Go
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ig
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d
p
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am
m
ed
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J
av
a.
T
h
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en
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in
ee
r
in
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team
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elec
ted
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f
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r
its
h
ig
h
wr
ite
th
r
o
u
g
h
p
u
t
an
d
l
o
w
laten
cy
.
Key
f
ea
tu
r
es
o
f
th
is
d
is
tr
ib
u
te
d
s
y
s
tem
in
clu
d
ed
h
o
r
iz
o
n
tal
s
ca
lab
ilit
y
,
h
ig
h
co
n
s
is
ten
cy
,
an
d
r
eliab
ilit
y
.
Oth
er
s
er
v
ices,
s
u
ch
as
th
e
i
n
ter
n
al
m
o
n
ito
r
in
g
s
y
s
tem
,
s
ea
r
ch
in
d
ex
in
g
,
s
tr
ea
m
in
g
d
ata
an
al
y
s
is
,
an
d
d
ata
s
cr
ap
in
g
,
also
e
m
p
lo
y
ed
HB
ase
in
p
r
o
d
u
ctio
n
.
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wev
er
,
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s
er
ac
tiv
ity
s
u
r
g
ed
,
th
e
ev
o
lv
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n
g
n
ee
d
s
n
ec
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itated
a
r
ed
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g
n
o
f
th
e
p
latf
o
r
m
'
s
te
ch
n
ical
f
r
am
ewo
r
k
.
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h
is
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is
to
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ical
tr
an
s
itio
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v
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lv
ed
in
co
r
p
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atin
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r
la
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ess
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esu
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tem
th
at
p
r
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ce
s
s
es
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illi
o
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o
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m
ess
ag
es
d
aily
.
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d
d
itio
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a
lly
,
tack
lin
g
th
e
ess
en
tial
is
s
u
e
o
f
u
s
er
p
r
esen
ce
in
f
o
r
m
atio
n
was
cr
itical
in
d
ev
elo
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in
g
s
ca
lab
le
s
y
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tem
s
,
as
r
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f
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s
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r
eq
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ir
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s
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b
s
tan
tial
r
eso
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r
ce
s
[
1
5
]
.
As
Face
b
o
o
k
e
x
p
an
d
ed
,
th
e
tr
an
s
itio
n
f
r
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m
HB
ase
to
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c
k
s
ex
em
p
lifie
d
its
ad
ap
tab
ilit
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to
b
i
g
d
ata
ch
alle
n
g
es,
wh
er
e
en
h
an
cin
g
p
er
f
o
r
m
an
ce
b
ec
am
e
v
ital
f
o
r
m
ai
n
t
ain
in
g
o
p
er
atio
n
al
s
tab
ilit
y
u
n
d
er
h
ea
v
y
wo
r
k
lo
a
d
s
[
1
7
]
–
[
1
9
]
.
T
h
u
s
,
Face
b
o
o
k
’
s
ar
ch
itectu
r
al
ev
o
lu
tio
n
h
ig
h
lig
h
ts
tech
n
o
lo
g
ical
ad
ap
tatio
n
an
d
s
ig
n
if
ies a
m
aj
o
r
s
h
if
t in
m
a
n
a
g
in
g
co
m
p
le
x
d
ig
ital in
ter
ac
tio
n
s
.
Fig
u
r
e
1
.
HB
ase
d
ep
lo
y
m
en
t a
t Fac
eb
o
o
k
2
.
1
.
I
nitia
l a
rc
hite
ct
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a
nd
t
ec
hn
o
lo
g
y
s
t
a
c
k
a
t
la
un
ch
Face
b
o
o
k
d
esig
n
ed
its
in
itial
s
etu
p
to
f
ac
ilit
ate
r
ap
id
g
r
o
wth
an
d
ef
f
icien
t
m
an
a
g
em
en
t
o
f
u
s
er
d
ata
f
r
o
m
th
e
o
u
ts
et.
At
its
in
ce
p
tio
n
,
Face
b
o
o
k
u
tili
ze
d
a
tech
n
o
l
o
g
y
s
tack
th
at
in
clu
d
ed
PHP f
o
r
its
web
in
ter
f
ac
e
an
d
a
My
SQL
d
atab
ase
f
o
r
ef
f
ec
tiv
e
d
ata
s
to
r
ag
e
a
n
d
r
e
tr
iev
al.
T
h
is
f
o
u
n
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atio
n
al
s
et
u
p
en
a
b
led
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u
ick
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n
ch
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n
d
c
o
n
tin
u
o
u
s
en
h
an
ce
m
en
ts
,
wh
ich
wer
e
cr
u
c
ial
d
u
r
in
g
t
h
e
p
latf
o
r
m
'
s
s
wif
t
ex
p
an
s
io
n
.
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th
e
n
u
m
b
er
o
f
u
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er
s
g
r
ew,
p
er
f
o
r
m
an
ce
is
s
u
es
em
er
g
ed
,
n
ec
ess
itatin
g
m
o
d
if
icatio
n
s
to
th
e
s
tack
.
T
h
e
im
p
lem
en
tatio
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o
f
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r
lan
g
c
h
a
n
n
el
s
er
v
er
s
f
o
r
m
ess
ag
e
m
an
ag
em
en
t
p
r
o
v
id
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a
r
o
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u
s
t
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tio
n
f
o
r
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-
tim
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m
m
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n
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s
,
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ess
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e
s
s
en
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ee
d
s
as
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er
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em
an
d
s
escalate
d
[
1
5
]
.
Fu
r
th
er
m
o
r
e,
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e
tr
an
s
itio
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r
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m
HB
ase
to
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R
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s
in
d
icate
d
a
s
tr
ateg
ic
p
iv
o
t
aim
e
d
a
t
en
h
an
cin
g
d
at
a
p
r
o
ce
s
s
in
g
ef
f
icien
cy
wh
ile
n
av
ig
atin
g
th
e
co
m
p
lex
ities
ass
o
ciate
d
with
b
ig
d
ata
task
s
.
B
y
in
teg
r
atin
g
th
ese
tech
n
o
lo
g
ies,
Face
b
o
o
k
estab
lis
h
ed
a
r
esil
ien
t
ar
c
h
itec
tu
r
e
ca
p
a
b
le
o
f
ac
co
m
m
o
d
ati
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th
e
s
u
b
s
tan
tial
d
em
an
d
s
o
f
its
u
s
er
s
,
s
ettin
g
a
p
r
ec
ed
en
t
f
o
r
f
u
tu
r
e
a
d
v
an
ce
m
en
ts
in
its
tech
n
o
lo
g
y
s
tack
.
2
.
2
.
E
v
o
lutio
n o
f
F
a
ce
bo
o
k’
s
infr
a
s
t
ruct
ure
o
v
er
t
he
y
ea
rs
T
h
e
d
e
v
elo
p
m
e
n
t
o
f
Face
b
o
o
k
’
s
in
f
r
astru
ct
u
r
e
d
em
o
n
s
tr
ates
its
ca
p
ac
ity
to
ad
a
p
t
to
in
cr
ea
s
in
g
u
s
er
d
em
an
d
s
a
n
d
tech
n
o
lo
g
ical
c
h
an
g
es.
I
n
itially
,
th
e
s
ite
o
p
e
r
at
ed
o
n
a
b
asic
L
AM
P
s
etu
p
to
ac
co
m
m
o
d
ate
r
ap
i
d
u
s
er
g
r
o
wth
.
H
o
wev
er
,
as
d
ata
an
d
u
s
er
e
n
g
ag
e
m
en
t
ex
p
an
d
e
d
,
Face
b
o
o
k
tr
a
n
s
itio
n
ed
to
a
m
o
r
e
s
o
p
h
is
ticated
,
m
o
d
u
la
r
s
y
s
tem
.
T
h
e
u
p
g
r
ad
e
in
cl
u
d
ed
th
e
im
p
lem
en
tatio
n
o
f
t
h
e
Me
s
s
en
g
er
Sy
n
c
p
r
o
to
co
l,
wh
i
ch
r
ed
u
ce
d
n
o
n
-
m
ed
ia
d
a
ta
u
s
ag
e
b
y
4
0
%
a
n
d
allev
ia
ted
n
etwo
r
k
tr
a
f
f
ic.
Fu
r
th
er
m
o
r
e,
th
e
s
h
if
t
f
r
o
m
HB
ase
to
My
R
o
ck
s
f
o
r
m
es
s
ag
e
s
to
r
ag
e
r
ef
lects
Face
b
o
o
k
’
s
co
m
m
itm
en
t
to
e
f
f
ec
tiv
ely
m
an
ag
i
n
g
lar
g
e
d
atasets
.
E
n
h
an
ce
d
m
ess
ag
in
g
ca
p
ab
ilit
ies,
f
ea
tu
r
i
n
g
c
o
m
p
o
n
en
ts
lik
e
E
r
la
n
g
c
h
an
n
el
s
er
v
er
s
an
d
C
++
u
s
er
p
r
esen
ce
m
o
d
u
les,
b
o
ls
ter
th
e
in
f
r
astru
ctu
r
e'
s
ab
ilit
y
to
s
u
p
p
o
r
t th
e
p
latf
o
r
m
'
s
in
tr
icate
y
et
r
o
b
u
s
t sy
s
tem
.
T
h
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
S
ca
lin
g
o
f F
a
ce
b
o
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k
a
r
ch
itectu
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a
n
d
tech
n
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lo
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y
s
ta
ck
w
ith
h
ea
vy
w
o
r
klo
a
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:
p
a
s
t,
p
r
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…
(
To
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S
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tikn
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)
775
o
n
g
o
in
g
ev
o
lu
tio
n
u
n
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er
s
co
r
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s
Face
b
o
o
k
’
s
s
tr
ateg
ic
in
v
est
m
en
t
in
r
ef
in
in
g
its
ar
ch
itectu
r
e
to
m
ain
tain
s
tr
o
n
g
p
er
f
o
r
m
an
ce
u
n
d
er
h
ea
v
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s
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e,
illu
s
tr
atin
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d
e
d
icatio
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d
ata
-
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iv
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v
ir
o
n
m
en
t
[
1
5
]
,
[
2
0
]
.
2
.
3
.
K
ey
cha
lleng
es f
a
ce
d in e
a
rly
s
ca
lin
g
ef
f
o
r
t
s
T
h
e
s
h
if
t
to
a
s
ca
lab
le
s
tr
u
ctu
r
e
p
r
esen
te
d
s
ig
n
if
ican
t
c
h
allen
g
es
d
u
r
in
g
Face
b
o
o
k
’
s
g
r
o
wth
,
p
ar
ticu
lar
ly
as
th
e
d
em
a
n
d
f
o
r
r
ea
l
-
tim
e
co
m
m
u
n
icatio
n
a
n
d
co
n
te
n
t
s
h
ar
in
g
s
u
r
g
ed
.
A
k
ey
is
s
u
e
was
th
e
ef
f
ec
tiv
e
m
an
ag
em
e
n
t
o
f
u
s
e
r
p
r
esen
ce
in
f
o
r
m
atio
n
,
wh
ic
h
b
ec
am
e
in
cr
ea
s
in
g
ly
co
m
p
licated
u
n
d
er
h
ig
h
tr
af
f
ic
co
n
d
itio
n
s
.
Acc
o
r
d
in
g
to
Sh
iv
an
g
[
1
5
]
,
th
e
ch
at
s
er
v
ices
s
y
s
tem
n
ee
d
ed
to
p
r
o
ce
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s
b
illi
o
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s
o
f
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aily
m
ess
ag
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wh
ile
en
s
u
r
in
g
o
p
tim
al
p
er
f
o
r
m
an
ce
d
u
r
in
g
p
ea
k
tim
es.
Face
b
o
o
k
h
ad
to
im
p
le
m
en
t
im
p
r
o
v
ed
lo
a
d
b
alan
cin
g
tec
h
n
iq
u
es
a
n
d
t
r
an
s
itio
n
f
r
o
m
HB
ase
to
My
R
o
ck
s
f
o
r
m
ess
ag
e
s
to
r
ag
e
—
d
ec
is
io
n
s
th
at
u
n
d
er
s
co
r
e
d
th
e
o
p
er
atio
n
al
d
if
f
icu
lties
ass
o
ciate
d
with
s
ca
lin
g
.
Ad
d
itio
n
ally
,
th
e
in
teg
r
a
tio
n
o
f
PULL
an
d
PUSH
co
m
m
u
n
icatio
n
m
eth
o
d
s
r
eq
u
ir
ed
a
ca
r
ef
u
l
b
ala
n
ce
b
etwe
en
p
er
f
o
r
m
an
ce
a
n
d
t
h
e
m
an
ag
em
e
n
t
o
f
s
y
s
tem
r
eso
u
r
ce
s
.
T
h
ese
ch
allen
g
es
d
em
o
n
s
tr
ate
th
at
ea
r
l
y
s
ca
lin
g
n
ec
ess
itated
n
o
t
o
n
ly
n
ew
tech
n
o
lo
g
ies
b
u
t
also
s
tr
ateg
ic
p
lan
n
in
g
to
ad
d
r
ess
in
f
r
astru
ctu
r
e
lim
itatio
n
s
an
d
en
h
an
ce
u
s
er
e
x
p
er
ien
ce
[
1
3
]
,
[
2
1
]
.
2
.
4
.
M
a
j
o
r
t
ec
hn
o
lo
g
ica
l inno
v
a
t
io
ns
intr
o
du
ce
d
T
h
e
ch
an
g
es
in
Face
b
o
o
k
’
s
s
tr
u
ctu
r
e
h
a
v
e
b
ee
n
m
ar
k
e
d
b
y
m
ajo
r
tech
im
p
r
o
v
em
en
ts
t
h
at
s
o
lv
ed
p
r
o
b
lem
s
lin
k
ed
t
o
s
ca
lin
g
an
d
lar
g
e
d
ata
am
o
u
n
ts
.
On
e
k
ey
d
ev
el
o
p
m
en
t
is
th
e
u
s
e
o
f
a
m
i
x
ed
co
m
m
u
n
icatio
n
m
o
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el
in
its
ch
at
s
y
s
tem
,
wh
ich
u
s
es
b
o
th
PULL
an
d
PUSH
m
eth
o
d
s
.
T
h
is
f
ea
tu
r
e
h
elp
s
m
an
ag
e
u
s
er
p
r
esen
ce
an
d
m
e
s
s
ag
in
g
d
u
r
in
g
h
ea
v
y
l
o
ad
s
,
a
s
m
en
tio
n
ed
in
[
1
5
]
.
T
h
is
s
tr
a
teg
y
s
h
o
ws
a
wid
er
tr
en
d
to
war
d
u
s
in
g
s
p
ec
if
ic
ed
g
e
d
ev
ices
an
d
p
lan
s
to
r
ed
u
ce
n
etwo
r
k
d
elay
s
,
wh
ich
is
e
s
p
ec
ially
im
p
o
r
tan
t
f
o
r
r
ea
l
-
tim
e
ap
p
s
in
r
u
r
al
ar
e
as
[
2
2
]
.
Als
o
,
th
e
ad
d
itio
n
o
f
My
R
o
ck
s
,
wh
ich
im
p
r
o
v
es
h
o
w
d
atab
a
s
es
s
to
r
e
d
ata,
m
ar
k
s
a
n
im
p
o
r
tan
t
m
o
v
e
to
war
d
b
etter
d
ata
r
etr
iev
a
l,
b
o
o
s
tin
g
b
o
th
p
er
f
o
r
m
a
n
ce
an
d
s
ca
lab
ilit
y
.
B
y
p
u
ttin
g
th
ese
n
ew
tech
n
o
lo
g
ie
s
in
to
ac
tio
n
,
Face
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o
o
k
ch
a
n
g
ed
its
tech
f
r
am
ew
o
r
k
,
p
r
o
v
id
i
n
g
a
s
tr
o
n
g
b
ase
f
o
r
m
an
ag
in
g
m
o
r
e
c
o
m
p
licated
wo
r
k
l
o
ad
s
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ile
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ettin
g
th
e
s
t
ag
e
f
o
r
f
u
tu
r
e
d
ev
el
o
p
m
en
ts
in
b
ig
d
ata
s
y
s
tem
s
.
2
.
5
.
L
ess
o
ns
lea
rned
f
ro
m
pa
s
t
s
ca
lin
g
ex
perience
s
T
h
e
co
m
p
le
x
g
r
o
wth
p
r
o
c
ess
ex
p
er
ien
ce
d
b
y
lea
d
in
g
tech
co
m
p
an
ies
im
p
ar
ts
cr
u
cial
l
ess
o
n
s
th
at
in
f
lu
en
ce
b
o
t
h
cu
r
r
e
n
t
an
d
f
u
t
u
r
e
s
y
s
tem
s
,
p
ar
ticu
lar
ly
in
m
an
ag
in
g
lar
g
e
task
s
an
d
b
ig
d
a
ta.
A
k
ey
tak
ea
way
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r
o
m
Face
b
o
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k
'
s
g
r
o
wth
in
it
iativ
es
is
th
e
n
ec
ess
ity
o
f
e
n
h
an
cin
g
co
m
m
u
n
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n
m
e
th
o
d
s
to
im
p
r
o
v
e
p
er
f
o
r
m
an
ce
d
u
r
in
g
p
ea
k
tr
af
f
ic
p
er
io
d
s
.
Fo
r
in
s
tan
ce
,
t
h
e
Me
s
s
en
g
er
Sy
n
c
p
r
o
to
co
l
r
ed
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ce
d
n
o
n
-
m
e
d
ia
d
ata
u
s
ag
e
b
y
4
0
%,
allev
iatin
g
n
et
wo
r
k
s
tr
ain
an
d
illu
s
tr
atin
g
th
e
im
p
o
r
tan
ce
o
f
p
r
o
to
co
l
ef
f
icien
cy
in
m
ess
ag
e
h
an
d
lin
g
.
Ad
d
itio
n
ally
,
as
h
ig
h
-
p
er
f
o
r
m
a
n
ce
co
m
p
u
tin
g
(
HPC
)
co
m
b
in
es
with
clo
u
d
tech
n
o
lo
g
ies,
it's
im
p
o
r
tan
t
to
co
n
n
ec
t
d
if
f
er
e
n
t sto
r
ag
e
s
y
s
tem
s
to
p
r
ev
en
t
in
t
er
r
u
p
tio
n
s
in
s
cien
tific
wo
r
k
[
1
6
]
.
B
y
p
r
i
o
r
itizin
g
th
e
ex
p
a
n
s
io
n
o
f
lo
ad
b
alan
c
er
s
,
Face
b
o
o
k
s
u
cc
ess
f
u
lly
m
in
im
ized
ch
at
s
er
v
ice
d
o
w
n
tim
es,
d
em
o
n
s
tr
atin
g
t
h
a
t
p
r
o
a
c
ti
v
e
i
n
f
r
as
t
r
u
c
t
u
r
e
c
h
a
n
g
e
s
a
r
e
e
s
s
e
n
ti
a
l
f
o
r
m
a
i
n
ta
in
i
n
g
s
e
r
v
i
c
e
r
e
li
a
b
i
li
t
y
as
u
s
e
r
n
u
m
b
e
r
s
s
u
r
g
e
[
1
5
]
.
C
o
n
s
eq
u
en
tly
,
d
r
awin
g
less
o
n
s
f
r
o
m
p
as
t
ex
p
er
ien
ce
s
en
ab
les
o
r
g
an
izatio
n
s
to
d
ev
elo
p
r
o
b
u
s
t
an
d
ad
ap
tab
le
s
y
s
tem
s
th
at
ca
n
m
ee
t g
r
o
win
g
d
ata
d
em
a
n
d
s
.
3.
CURR
E
NT
ARCH
I
T
E
C
T
U
RE
AND
T
E
CH
NO
L
O
G
Y
S
T
ACK
Gettin
g
h
o
w
to
d
ay
’
s
ar
ch
ite
ctu
r
e
an
d
tech
n
o
l
o
g
y
s
tack
u
s
ed
b
y
b
ig
tech
co
m
p
a
n
ies
wo
r
k
s
i
s
im
p
o
r
tan
t
f
o
r
ju
d
g
in
g
th
eir
ca
p
ac
ity
to
h
an
d
le
m
o
r
e
wo
r
k
lo
ad
s
an
d
lar
g
e
d
ata
as
s
h
o
wn
in
Fig
u
r
e
2
.
Face
b
o
o
k
’
s
ar
ch
itectu
r
e
s
h
o
w
s
th
is
,
ch
an
g
in
g
f
r
o
m
a
s
im
p
le
o
n
e
-
p
iec
e
d
esig
n
t
o
a
co
m
p
li
ca
ted
s
y
s
tem
b
ased
o
n
m
icr
o
s
er
v
ices
th
at
is
m
ea
n
t
f
o
r
g
r
o
wth
a
n
d
e
f
f
ec
tiv
en
ess
wh
en
m
an
y
u
s
er
s
ar
e
ac
tiv
e.
I
m
p
o
r
tan
t p
ar
ts
,
lik
e
th
e
m
ix
ed
c
o
m
m
u
n
icatio
n
m
o
d
el
u
s
ed
in
its
liv
e
ch
at
f
ea
tu
r
e,
s
h
o
w
h
o
w
Face
b
o
o
k
m
ix
es
PULL
an
d
PUSH
tech
n
iq
u
es
to
im
p
r
o
v
e
h
o
w
r
e
s
o
u
r
ce
s
ar
e
u
s
ed
an
d
r
esp
o
n
s
e
tim
es
in
m
ess
ag
in
g
s
er
v
ices.
T
h
is
s
tr
u
ctu
r
e
u
s
es
a
m
ix
o
f
J
av
aScr
ip
t,
PHP,
an
d
E
r
lan
g
,
alo
n
g
with
m
o
d
e
r
n
to
o
ls
lik
e
My
R
o
ck
s
f
o
r
h
an
d
lin
g
d
atab
ases
,
wh
ich
h
elp
s
m
an
ag
e
u
s
er
in
ter
ac
tio
n
s
with
in
th
e
h
u
g
e
n
u
m
b
e
r
o
f
m
ess
ag
es
s
en
t
d
aily
[
1
5
]
.
T
h
is
lev
el
o
f
co
m
p
le
x
ity
h
as
h
elp
ed
th
e
p
latf
o
r
m
to
cu
t
d
o
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n
s
er
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f
ailu
r
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d
k
ee
p
u
s
er
s
co
n
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ec
ted
d
u
r
in
g
b
u
s
y
tim
es,
p
r
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v
in
g
h
o
w
n
ew
tech
n
o
lo
g
y
s
tack
s
ca
n
im
p
r
o
v
e
s
y
s
tem
p
er
f
o
r
m
a
n
c
e
[
2
3
]
.
3
.
1
.
O
v
er
v
iew
o
f
F
a
ce
bo
o
k
’
s
curr
ent
a
rc
hite
ct
ure
T
h
e
d
esig
n
o
f
Face
b
o
o
k
h
as
ch
an
g
e
d
a
lo
t
to
m
ee
t
t
h
e
g
r
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win
g
n
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d
s
f
o
r
u
s
er
s
in
ter
ac
tin
g
an
d
m
an
ag
in
g
d
ata.
At
th
e
h
ea
r
t
o
f
th
is
s
y
s
tem
is
a
m
ix
ed
co
m
m
u
n
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n
m
o
d
el
th
at
u
s
es
b
o
th
PULL
an
d
PUSH
m
eth
o
d
s
,
e
n
ab
lin
g
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s
er
s
to
i
n
ter
ac
t
in
r
ea
l
-
tim
e
w
h
ile
r
ed
u
cin
g
d
elay
s
.
T
h
is
s
y
s
tem
ef
f
ec
tiv
ely
b
ac
k
s
th
e
m
ess
ag
in
g
f
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tu
r
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wh
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h
a
n
d
les
b
illi
o
n
s
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f
m
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d
ay
,
s
h
o
win
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n
ee
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f
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f
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in
s
u
ch
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g
e
v
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lu
m
e
m
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t.
Plu
s
,
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s
in
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if
f
er
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m
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g
la
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lik
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o
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u
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ter
f
ac
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PHP
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im
p
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o
v
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r
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o
s
s
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v
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Ad
d
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,
m
o
v
in
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f
r
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m
Hb
ase
to
My
R
o
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s
f
o
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s
to
r
in
g
m
ess
ag
es
s
h
o
ws
Face
b
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k
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s
d
ed
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n
to
u
s
in
g
th
e
latest
d
atab
ase
tech
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to
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p
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p
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o
f
r
etr
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d
ata
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eliab
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.
T
h
e
o
n
g
o
in
g
ch
a
n
g
es
to
th
eir
ar
ch
itectu
r
e,
as
n
o
ted
in
[
1
5
]
,
em
p
h
asize
th
e
s
tr
ateg
ic
n
ee
d
to
co
m
b
in
e
clo
u
d
an
d
HPC
r
eso
u
r
ce
s
,
as
s
ta
ted
b
y
[
1
6
]
,
u
ltima
tely
cr
ea
tin
g
a
s
tr
o
n
g
an
d
ex
p
an
d
a
b
le
s
y
s
tem
th
at
ca
n
m
an
ag
e
its
lar
g
e
u
s
er
b
ase
an
d
co
m
p
licated
task
s
.
Fig
u
r
e
2
.
Face
b
o
o
k
’
s
r
ea
l
-
tim
e
ch
at
ar
ch
itectu
r
e
a
n
d
tech
n
o
l
o
g
y
s
tack
3
.
2
.
T
ec
hn
o
lo
g
ies us
ed
f
o
r
da
t
a
s
t
o
r
a
g
e
a
nd
ma
na
g
e
m
ent
T
h
e
co
m
p
lex
ar
ea
o
f
d
ata
s
to
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ag
e
an
d
m
an
ag
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m
en
t
tech
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o
l
o
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ies
h
as
ch
an
g
ed
a
l
o
t
to
k
e
ep
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p
with
th
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in
cr
ea
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g
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o
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n
t
an
d
co
m
p
lex
ity
o
f
d
ata
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r
o
d
u
ce
d
o
n
p
latf
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m
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lik
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Face
b
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k
.
Ke
y
to
th
is
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y
s
tem
is
in
teg
r
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tin
g
d
i
f
f
er
en
t
d
atab
ase
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y
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tem
s
th
at
ar
e
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ilt
to
ef
f
ec
tiv
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m
an
ag
e
v
ar
io
u
s
wo
r
k
lo
ad
s
.
Face
b
o
o
k
s
tar
ted
u
s
in
g
Hb
ase
f
o
r
m
ess
ag
e
s
to
r
ag
e
b
u
t
later
m
o
v
e
d
t
o
My
R
o
ck
s
,
im
p
r
o
v
in
g
h
o
w
d
ata
is
r
etr
iev
ed
b
y
u
s
in
g
th
e
s
p
ec
ial
f
ea
tu
r
es
o
f
Flas
h
m
em
o
r
y
a
n
d
M
y
SQL’
s
s
tr
u
ctu
r
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s
to
r
ag
e
m
o
d
e
l,
th
u
s
en
h
an
cin
g
p
er
f
o
r
m
an
ce
[
1
5
]
.
Mo
r
eo
v
e
r
,
co
m
b
in
i
n
g
HPC
with
clo
u
d
s
to
r
ag
e
tech
n
o
l
o
g
ies
o
f
f
er
s
a
g
o
o
d
p
ath
f
o
r
s
ca
lab
ilit
y
,
en
ab
lin
g
f
lex
ib
le
r
eso
u
r
ce
allo
ca
tio
n
wh
ile
im
p
r
o
v
i
n
g
co
s
t
ef
f
icien
cy
.
A
s
ex
p
lain
ed
in
th
e
co
n
v
er
g
en
ce
ass
ess
m
en
t
m
o
d
el,
u
s
in
g
clo
u
d
s
etu
p
s
allo
ws
f
o
r
s
tr
o
n
g
d
ata
s
h
ar
in
g
b
etwe
en
HPC
an
d
clo
u
d
en
v
ir
o
n
m
en
ts
,
cr
ea
tin
g
a
s
m
o
o
th
wo
r
k
f
lo
w
t
h
at
im
p
r
o
v
es
b
o
th
p
e
r
f
o
r
m
an
ce
a
n
d
r
eso
u
r
ce
u
s
e
[
1
6
]
.
T
h
is
b
len
d
o
f
tech
n
o
lo
g
ies
s
h
o
ws
a
f
o
r
war
d
-
lo
o
k
in
g
m
eth
o
d
to
tack
le
th
e
b
ig
d
ata
is
s
u
es
f
ac
ed
b
y
h
ig
h
-
t
r
af
f
ic
ap
p
licatio
n
s
lik
e
Face
b
o
o
k
.
3
.
3
.
L
o
a
d ba
la
ncing
a
nd
t
ra
f
f
ic
m
a
na
g
em
ent
s
t
r
a
t
eg
ies
Ma
n
ag
in
g
n
etwo
r
k
tr
af
f
ic
in
l
ar
g
e
ar
ch
itectu
r
es
is
co
m
p
lica
ted
an
d
n
ee
d
s
s
tr
o
n
g
lo
ad
b
al
an
cin
g
an
d
tr
af
f
ic
m
a
n
ag
em
en
t
m
eth
o
d
s
th
at
ca
n
c
h
an
g
e
with
d
em
a
n
d
.
W
h
en
Face
b
o
o
k
f
ac
ed
r
is
in
g
u
s
er
ac
tiv
ity
,
esp
ec
ially
o
n
its
m
ess
ag
i
n
g
p
latf
o
r
m
,
t
h
e
en
g
i
n
ee
r
in
g
tea
m
u
s
ed
v
ar
i
o
u
s
tech
n
iq
u
es
to
k
ee
p
p
e
r
f
o
r
m
an
ce
s
m
o
o
th
.
I
n
th
e
r
ea
lm
o
f
s
o
f
tw
ar
e
-
d
ef
in
e
d
n
etwo
r
k
i
n
g
(
SDN)
,
g
o
o
d
lo
ad
b
alan
ci
n
g
is
cr
u
c
ial
to
r
ed
u
ce
d
elay
s
b
etwe
en
co
n
tr
o
ller
s
an
d
s
witch
es,
esp
ec
ially
d
u
r
in
g
b
u
s
y
ti
m
es
[
2
4
]
.
T
h
is
is
s
u
p
p
o
r
ted
b
y
clev
er
m
et
h
o
d
s
lik
e
m
ig
r
atio
n
s
t
r
ateg
ies
th
at
im
p
r
o
v
e
r
eso
u
r
ce
u
s
e
b
y
watc
h
i
n
g
an
d
ad
ju
s
tin
g
to
tr
af
f
ic
p
atter
n
s
,
wh
ich
h
elp
s
m
ain
tain
s
er
v
ice
q
u
ality
d
u
r
in
g
p
ea
k
tim
es
[
2
5
]
.
Usi
n
g
th
es
e
m
eth
o
d
s
n
o
t
o
n
ly
m
ad
e
th
e
ar
ch
itectu
r
e
m
o
r
e
s
ca
lab
le
b
u
t
also
en
h
an
ce
d
r
esp
o
n
s
e
tim
es
an
d
r
eliab
ilit
y
.
I
n
th
e
en
d
,
th
e
o
n
g
o
in
g
d
e
v
elo
p
m
en
t
o
f
th
ese
tech
n
iq
u
es
s
h
o
ws
th
eir
im
p
o
r
tan
t
r
o
le
i
n
m
ain
tain
i
n
g
a
p
p
lic
atio
n
p
er
f
o
r
m
a
n
ce
in
an
a
g
e
m
ar
k
ed
b
y
b
ig
d
ata
an
d
h
i
g
h
u
s
er
en
g
a
g
em
en
t,
as
s
ee
n
in
Face
b
o
o
k
’
s
s
h
if
t
f
r
o
m
Hb
ase
to
My
R
o
ck
s
f
o
r
f
aster
m
ess
ag
e
r
etr
iev
al,
im
p
r
o
v
in
g
b
o
th
s
p
ee
d
a
n
d
s
ca
l
ab
ilit
y
[
1
5
]
.
3
.
4
.
Rea
l
-
t
im
e
da
t
a
pro
ce
s
s
ing
ca
pa
bil
it
ies
T
h
e
ab
ilit
y
t
o
h
a
n
d
le
d
ata
r
ig
h
t
awa
y
is
k
e
y
f
o
r
t
o
d
ay
’
s
a
p
p
s
,
esp
ec
ially
f
o
r
s
o
cial
m
e
d
ia
p
latf
o
r
m
s
lik
e
Face
b
o
o
k
.
W
ith
b
illi
o
n
s
o
f
m
ess
ag
es
s
en
t
d
aily
,
Face
b
o
o
k
’
s
s
y
s
tem
is
ca
r
ef
u
lly
b
u
ilt
to
m
an
a
g
e
th
is
lo
a
d
ef
f
ec
tiv
ely
.
Usi
n
g
a
m
ix
o
f
PULL
an
d
PUSH c
o
m
m
u
n
icatio
n
m
eth
o
d
s
,
th
e
p
latf
o
r
m
b
ala
n
ce
s
h
ea
v
y
task
s
lik
e
tr
ac
k
in
g
u
s
er
p
r
esen
ce
,
wh
ich
is
im
p
o
r
tan
t
f
o
r
r
ea
l
-
tim
e
in
ter
ac
tio
n
.
T
h
e
u
s
e
o
f
ad
v
an
ce
d
p
r
o
ce
s
s
in
g
s
y
s
tem
s
,
s
u
ch
as
th
e
Had
o
o
p
ec
o
s
y
s
tem
co
m
b
i
n
ed
with
Ap
ac
h
e
Sp
ar
k
,
allo
ws
f
o
r
q
u
ick
d
ata
an
aly
s
is
an
d
s
en
tim
e
n
t
d
etec
tio
n
o
n
a
lar
g
e
s
ca
le,
tack
lin
g
th
e
is
s
u
es
th
at
co
m
e
with
a
lo
t
o
f
u
s
er
-
g
en
e
r
ated
co
n
ten
t
[
1
3
]
.
Ad
d
itio
n
ally
,
th
e
c
r
ea
tio
n
a
n
d
im
p
r
o
v
em
e
n
t
o
f
t
o
o
ls
lik
e
th
e
m
ess
en
g
er
Sy
n
c
p
r
o
to
co
l
s
h
o
w
a
b
i
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J I
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f
&
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m
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l
I
SS
N:
2252
-
8
7
7
6
S
ca
lin
g
o
f F
a
ce
b
o
o
k
a
r
ch
itectu
r
e
a
n
d
tech
n
o
lo
g
y
s
ta
ck
w
ith
h
ea
vy
w
o
r
klo
a
d
:
p
a
s
t,
p
r
esen
t
…
(
To
le
S
u
tikn
o
)
777
im
p
r
o
v
em
e
n
t
in
r
ea
l
-
tim
e
f
u
n
ctio
n
s
,
cu
ttin
g
d
o
wn
o
n
d
at
a
tr
an
s
f
er
wh
ile
b
o
o
s
tin
g
u
s
er
s
atis
f
ac
tio
n
[
1
3
]
.
T
h
ese
d
ev
elo
p
m
en
ts
n
o
t
o
n
l
y
s
h
o
w
Face
b
o
o
k
’
s
q
u
ick
r
esp
o
n
s
e
to
wh
at
u
s
er
s
wan
t
b
u
t
also
em
p
h
asize
th
e
v
ital r
o
le
o
f
r
ea
l
-
tim
e
d
ata
h
a
n
d
lin
g
in
k
ee
p
in
g
u
p
with
c
h
an
g
in
g
tech
e
n
v
ir
o
n
m
en
ts
[
2
6
]
.
3
.
5
.
Securit
y
a
nd
priv
a
cy
co
ns
idera
t
io
ns
i
n sca
lin
g
As
Face
b
o
o
k
g
r
o
ws
its
ar
ch
itectu
r
e
to
h
an
d
le
lar
g
e
wo
r
k
lo
a
d
s
an
d
h
u
g
e
d
atasets
,
m
an
y
s
ec
u
r
ity
an
d
p
r
iv
ac
y
is
s
u
es
co
m
e
u
p
th
at
n
ee
d
ca
r
ef
u
l
atten
tio
n
.
T
h
e
m
ix
o
f
tech
n
o
lo
g
ies,
esp
ec
ially
in
th
e
f
u
ll
-
s
tack
J
av
aScr
ip
t
f
r
am
ewo
r
k
,
b
r
in
g
s
u
n
iq
u
e
v
u
ln
er
a
b
ilit
ies
th
at
co
u
ld
p
u
t
u
s
er
d
ata
at
r
is
k
,
m
a
k
in
g
it
ess
en
tial
f
o
r
d
ev
elo
p
er
s
to
tack
le
p
o
s
s
ib
le
th
r
ea
ts
f
r
o
m
b
o
th
th
e
clien
t
s
id
e
an
d
s
er
v
er
s
id
e
[
2
7
]
.
Ad
d
iti
o
n
ally
,
u
s
in
g
clo
u
d
s
to
r
ag
e
alo
n
g
with
o
n
-
p
r
em
is
e
HPC
s
o
lu
tio
n
s
cr
ea
tes
a
s
it
u
atio
n
wh
er
e
p
o
o
r
m
an
a
g
em
en
t
o
f
d
ata
-
s
h
ar
in
g
in
ter
f
ac
es
ca
n
r
esu
lt
in
u
n
au
t
h
o
r
ized
ac
ce
s
s
o
r
d
ata
leak
s
[
1
6
]
.
T
h
e
ar
c
h
itectu
r
e
u
s
ed
in
F
ac
eb
o
o
k
’
s
r
ea
l
-
tim
e
ch
at
s
y
s
tem
s
h
o
ws
th
e
s
e
d
if
f
icu
lties
;
k
ee
p
in
g
tr
ac
k
o
f
u
s
er
p
r
esen
ce
in
f
o
r
m
atio
n
r
eq
u
ir
es
s
ec
u
r
e
tr
an
s
m
is
s
io
n
p
r
o
to
co
ls
to
s
to
p
in
te
r
ce
p
tio
n
o
r
tam
p
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in
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d
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ig
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ac
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u
n
d
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r
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s
.
T
h
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F
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.
4.
CH
AL
L
E
NG
E
S
O
F
SCA
L
I
NG
WI
T
H
H
E
A
VY
WO
RK
L
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AD
AND
B
I
G
DA
T
A
Scalin
g
tech
n
o
lo
g
ies
in
en
v
ir
o
n
m
en
ts
with
h
ea
v
y
wo
r
k
lo
a
d
s
an
d
b
ig
d
ata
b
r
in
g
s
m
a
n
y
ch
allen
g
es
th
at
n
ee
d
ca
r
ef
u
l
s
tr
ateg
ies.
K
ey
d
if
f
icu
lties
in
clu
d
e
ef
f
icien
tly
s
h
ar
in
g
r
eso
u
r
ce
s
an
d
im
p
r
o
v
in
g
d
ata
s
to
r
ag
e
s
o
lu
t
io
n
s
,
wh
ich
ar
e
ess
en
tial
to
k
ee
p
p
er
f
o
r
m
an
ce
h
ig
h
u
n
d
er
p
r
ess
u
r
e.
T
o
d
ea
l
with
th
e
s
p
ac
e
is
s
u
es.
T
h
e
en
g
in
ee
r
in
g
team
at
Face
b
o
o
k
wr
o
te
a
n
ew
M
y
SQL
d
atab
ase
en
g
in
e,
My
R
o
ck
s
[
1
8
]
,
wh
ich
r
ed
u
ce
d
s
p
ac
e
u
s
ag
e
b
y
5
0
%
an
d
also
h
elp
ed
im
p
r
o
v
e
th
e
wr
ite
ef
f
icien
cy
as
s
h
o
w
n
in
Fig
u
r
e
3
.
Ov
er
tim
e,
Face
b
o
o
k
m
ig
r
ated
its
u
s
er
-
f
ac
in
g
d
at
ab
ase
en
g
in
e
f
r
o
m
I
n
n
o
DB
to
M
y
R
o
ck
s
.
T
h
e
m
ig
r
atio
n
was
r
elativ
el
y
s
tr
aig
h
tf
o
r
war
d
,
as
o
n
ly
th
e
DB
en
g
in
es
u
n
d
er
we
n
t
ch
an
g
es,
wh
ile
th
e
co
r
e
M
y
SQL
tech
n
o
lo
g
y
r
e
m
ain
ed
u
n
ch
an
g
ed
.
T
h
e
m
o
v
e
f
r
o
m
Had
o
o
p
s
y
s
tem
s
to
My
R
o
ck
s
in
Face
b
o
o
k
’
s
s
etu
p
s
h
o
ws
a
s
tr
ateg
ic
ch
an
g
e
f
o
cu
s
ed
o
n
h
a
n
d
lin
g
lar
g
e
am
o
u
n
ts
o
f
d
ata
wh
ile
b
etter
i
n
g
q
u
er
y
p
er
f
o
r
m
an
ce
.
T
h
is
s
h
if
t
h
ig
h
lig
h
ts
a
wid
e
r
n
ee
d
to
tack
le
d
elay
s
wh
ile
m
ain
tain
in
g
s
tr
o
n
g
d
ata
in
teg
r
it
y
,
cr
ea
tin
g
a
ch
allen
g
e
in
ter
m
s
o
f
b
o
th
s
p
ee
d
an
d
r
eliab
ilit
y
.
Ad
d
itio
n
ally
,
Face
b
o
o
k
’
s
d
ev
elo
p
m
e
n
t
o
f
th
e
m
ess
en
g
er
Sy
n
c
p
r
o
to
c
o
l
u
n
d
er
s
co
r
es
th
e
s
ig
n
if
ican
ce
o
f
in
n
o
v
ativ
e
co
m
m
u
n
icatio
n
tech
n
i
q
u
es
i
n
m
itig
atin
g
n
etwo
r
k
co
n
g
e
s
tio
n
in
b
ig
d
ata
en
v
ir
o
n
m
en
ts
.
As
co
m
p
an
ies
d
ea
l
with
th
e
co
m
p
le
x
ities
o
f
r
ea
l
-
tim
e
d
ata
p
r
o
ce
s
s
in
g
,
th
ese
ex
p
er
ien
ce
s
h
ig
h
lig
h
t
th
e
cr
u
cial
co
n
n
ec
ti
o
n
b
etwe
en
ar
ch
itectu
r
al
ch
a
n
g
es
an
d
th
e
o
p
er
atio
n
al
n
ee
d
s
o
f
s
ca
lab
le,
d
ata
-
h
ea
v
y
a
p
p
licatio
n
s
.
F
ig
u
r
e
3
.
My
R
o
c
k
s
My
SQL
s
to
r
ag
e
en
g
in
e
wr
itten
b
y
Face
b
o
o
k
[
1
8
]
4
.
1
.
P
er
f
o
r
m
a
nce
bo
t
t
lenecks in da
t
a
pro
ce
s
s
ing
Fin
d
in
g
an
d
f
ix
i
n
g
p
e
r
f
o
r
m
an
ce
is
s
u
es
in
d
ata
p
r
o
ce
s
s
in
g
i
s
a
b
ig
p
r
o
b
lem
,
esp
ec
ially
as
p
latf
o
r
m
s
s
u
ch
as
Face
b
o
o
k
k
ee
p
ex
p
a
n
d
in
g
th
ei
r
s
y
s
tem
s
to
h
an
d
l
e
lar
g
e
wo
r
k
l
o
ad
s
an
d
m
ass
iv
e
am
o
u
n
ts
o
f
d
ata.
T
h
ese
is
s
u
es
o
f
ten
co
m
e
f
r
o
m
p
o
o
r
r
eso
u
r
ce
allo
ca
tio
n
,
s
lo
w
d
ata
r
etr
iev
al
m
eth
o
d
s
,
an
d
h
ig
h
n
etwo
r
k
laten
cy
,
wh
ich
ca
n
d
is
r
u
p
t
r
ea
l
-
tim
e
p
r
o
ce
s
s
in
g
an
d
u
s
er
en
g
ag
em
en
t.
Acc
o
r
d
in
g
to
[
2
8
]
,
u
s
in
g
lar
g
e
m
o
d
els
in
b
ig
d
ata
p
r
o
ce
s
s
in
g
s
h
o
ws
h
o
w
p
er
f
o
r
m
an
ce
im
p
r
o
v
em
en
t
s
tr
ateg
ies
ca
n
s
o
lv
e
th
ese
p
r
o
b
lem
s
b
y
in
cr
ea
s
in
g
co
m
p
u
tin
g
ef
f
icie
n
cy
an
d
b
etter
r
eso
u
r
ce
all
o
ca
tio
n
.
Ad
d
itio
n
ally
,
th
e
f
a
s
t
d
ig
ital
ch
an
g
es
af
f
ec
tin
g
s
m
all
an
d
m
ed
iu
m
b
u
s
in
ess
es
h
ig
h
lig
h
t
th
e
n
ee
d
f
o
r
s
ca
lab
le
s
o
lu
tio
n
s
th
at
ca
n
h
an
d
le
in
cr
ea
s
ed
d
ata
lo
ad
s
with
o
u
t
h
u
r
tin
g
s
y
s
tem
p
er
f
o
r
m
an
ce
-
th
is
is
clo
s
ely
r
elate
d
t
o
th
e
p
er
f
o
r
m
a
n
ce
i
s
s
u
es
s
ee
n
in
lar
g
er
s
y
s
tem
s
lik
e
Face
b
o
o
k
.
Usi
n
g
s
tr
o
n
g
d
ata
m
an
ag
em
e
n
t
s
y
s
tem
s
,
as
m
en
t
io
n
ed
i
n
[
2
9
]
,
ca
n
also
h
elp
ea
s
e
th
ese
p
r
o
b
lem
s
,
en
s
u
r
in
g
th
a
t
s
y
s
tem
p
er
f
o
r
m
an
ce
a
n
d
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er
ex
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eser
v
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with
r
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o
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T
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r
e,
a
b
r
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ad
s
tr
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th
at
co
n
s
id
er
s
b
o
th
s
y
s
tem
d
es
ig
n
an
d
r
eso
u
r
ce
Evaluation Warning : The document was created with Spire.PDF for Python.
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s
in
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u
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m
e
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ts
.
4
.
2
.
I
s
s
ues
re
la
t
ed
t
o
da
t
a
co
ns
is
t
ency
a
nd
i
nte
g
rit
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Kee
p
in
g
d
ata
co
n
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is
ten
t
an
d
in
tact
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a
b
ig
ch
allen
g
e,
esp
ec
ially
in
s
y
s
tem
s
th
at
d
ea
l
with
lo
ts
o
f
u
s
er
s
an
d
lar
g
e
d
atasets
.
Fo
r
p
latf
o
r
m
s
lik
e
Face
b
o
o
k
,
wh
i
ch
h
an
d
le
b
illi
o
n
s
o
f
m
ess
ag
es
ev
er
y
d
ay
u
s
in
g
co
m
p
lex
s
y
s
tem
s
,
it’s
cr
itical
t
o
k
ee
p
a
c
o
n
s
is
ten
t
s
tate
b
etwe
en
d
is
tr
ib
u
ted
d
atab
ases
.
Pro
b
lem
s
ca
n
co
m
e
u
p
wh
en
m
u
ltip
le
t
r
an
s
ac
tio
n
s
h
a
p
p
en
at
th
e
s
am
e
tim
e,
wh
ich
ca
n
ca
u
s
e
d
ata
is
s
u
es.
T
h
is
s
h
o
ws
th
e
n
ee
d
f
o
r
s
tr
o
n
g
s
y
s
tem
d
esig
n
s
th
at
ca
n
h
an
d
le
h
ea
v
y
lo
a
d
s
with
o
u
t
lo
s
in
g
d
ata
in
teg
r
ity
.
T
h
e
m
i
x
ed
co
m
m
u
n
ica
tio
n
m
eth
o
d
Face
b
o
o
k
u
s
es,
in
v
o
lv
in
g
b
o
th
PULL
an
d
PUSH
tactics,
s
h
o
ws
a
s
m
ar
t
way
to
r
ed
u
ce
th
ese
r
is
k
s
wh
ile
k
ee
p
in
g
r
ea
l
-
tim
e
f
u
n
cti
o
n
s
.
Als
o
,
m
o
v
in
g
f
r
o
m
Hb
ase
to
My
R
o
ck
s
f
o
r
s
to
r
in
g
m
ess
ag
es sh
o
ws
a
f
o
cu
s
o
n
im
p
r
o
v
in
g
p
er
f
o
r
m
an
ce
a
n
d
d
ata
tr
u
s
two
r
th
in
ess
,
as
n
o
ted
in
[
1
5
]
.
Go
o
d
s
o
lu
tio
n
s
s
h
o
u
ld
aim
f
o
r
r
eg
u
lar
ch
ec
k
s
an
d
f
ix
es
o
n
d
ata
to
k
ee
p
u
s
er
in
f
o
r
m
atio
n
p
r
ec
is
e
an
d
r
eliab
le,
d
esp
ite
th
e
ch
a
llen
g
es
o
f
b
ig
d
ata
s
ettin
g
s
,
a
wo
r
r
y
d
is
cu
s
s
ed
in
s
tu
d
ies o
n
u
s
er
d
ata
leak
s
in
c
u
r
r
en
t liter
atu
r
e
[
3
0
]
.
4
.
3
.
Sca
la
bil
it
y
cha
lleng
es in dis
t
ribute
d
s
y
s
t
em
s
I
n
d
is
tr
ib
u
ted
s
y
s
tem
s
,
s
ca
lab
i
lity
is
a
co
m
p
licated
p
r
o
b
lem
af
f
ec
tin
g
b
o
t
h
d
esig
n
an
d
h
o
w
well
th
ey
o
p
er
ate.
As
s
er
v
ices
g
r
o
w,
th
er
e
ar
e
n
ew
ch
allen
g
es
with
h
an
d
lin
g
m
o
r
e
u
s
er
r
eq
u
ests
an
d
lar
g
e
am
o
u
n
ts
o
f
d
ata.
Fo
r
ex
am
p
le,
Face
b
o
o
k
d
ea
ls
with
th
ese
is
s
u
es
in
it
s
r
ea
l
-
tim
e
ch
at
s
y
s
tem
,
wh
ich
n
ee
d
s
to
p
r
o
ce
s
s
b
illi
o
n
s
o
f
m
ess
ag
es
ev
er
y
d
ay
wh
ile
k
ee
p
in
g
t
r
ac
k
o
f
u
s
er
s
tatu
s
es.
T
h
e
m
ix
o
f
PULL
an
d
PUSH
co
m
m
u
n
icatio
n
m
eth
o
d
s
s
h
o
w
s
th
e
s
tr
u
g
g
le
to
k
ee
p
th
e
s
y
s
tem
q
u
ick
wh
ile
also
m
an
a
g
in
g
its
r
eso
u
r
ce
s
[
1
5
]
.
Ad
d
itio
n
ally
,
t
h
e
d
i
f
f
er
en
ce
b
etwe
en
o
ld
a
n
d
clo
u
d
s
to
r
ag
e
d
esig
n
s
m
ak
es
s
ca
lab
ilit
y
ev
en
h
ar
d
e
r
,
p
ar
ticu
lar
ly
as
h
y
b
r
id
s
y
s
tem
s
b
ec
o
m
e
m
o
r
e
co
m
m
o
n
.
R
esear
ch
o
n
th
is
m
ix
s
h
o
ws
th
at
u
s
in
g
clo
u
d
s
to
r
ag
e
ca
n
s
av
e
m
o
n
ey
an
d
im
p
r
o
v
e
ef
f
icien
cy
,
b
u
t
it
also
ad
d
s
p
er
f
o
r
m
a
n
ce
ch
allen
g
es
th
at
m
u
s
t
b
e
ca
r
ef
u
lly
m
an
ag
ed
to
p
r
ev
e
n
t
s
lo
wd
o
w
n
s
[
1
6
]
.
T
h
u
s
,
ac
h
iev
i
n
g
ef
f
ec
tiv
e
s
ca
lab
ili
ty
in
d
is
tr
ib
u
ted
s
y
s
tem
s
d
ep
en
d
s
o
n
n
ew
ar
ch
itectu
r
al
s
tr
ateg
ies th
at
co
m
b
in
e
d
if
f
er
en
t te
c
h
n
o
l
o
g
ies wh
ile
ad
d
r
ess
in
g
th
eir
ex
i
s
tin
g
ch
allen
g
es.
4
.
4
.
Reso
urce
a
llo
c
a
t
io
n a
nd
co
s
t
m
a
na
g
em
ent
Go
o
d
r
eso
u
r
ce
u
s
e
a
n
d
co
s
t
co
n
tr
o
l
a
r
e
v
er
y
im
p
o
r
tan
t
f
o
r
g
r
o
wi
n
g
co
m
p
lex
s
y
s
tem
s
lik
e
Face
b
o
o
k
’
s
,
esp
ec
ially
with
h
ea
v
y
w
o
r
k
lo
a
d
s
an
d
lar
g
e
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ata
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ets.
Usi
n
g
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v
er
less
ar
ch
itectu
r
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h
as
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n
h
e
l
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b
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t
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h
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h
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l
p
i
n
g
w
i
t
h
s
c
al
a
b
i
li
t
y
[
1
5
]
.
T
h
is
f
its
w
ith
Face
b
o
o
k
’
s
ap
p
r
o
ac
h
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wh
er
e
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tr
y
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p
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eir
tech
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ls
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b
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t
p
er
f
o
r
m
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ce
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n
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tr
o
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ts
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Fo
r
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u
s
in
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c
o
m
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m
m
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eth
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d
s
s
h
o
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h
o
w
Face
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o
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k
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ala
n
ce
s
r
eso
u
r
ce
ex
p
e
n
d
itu
r
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wh
ile
k
ee
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in
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ice
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r
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co
s
t
f
ac
to
r
s
in
r
ea
l
-
ti
m
e
s
y
s
tem
s
[
3
1
]
.
Fu
r
th
er
m
o
r
e
,
b
y
u
s
in
g
ad
v
an
ce
d
d
ata
m
an
ag
em
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ck
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to
im
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r
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r
etr
iev
a
l,
Face
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o
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em
o
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tr
ates
a
f
o
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b
o
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h
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h
a
n
c
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p
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r
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u
c
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r
a
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r
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u
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h
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c
h
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l
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g
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s
o
f
b
i
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d
a
t
a
[
3
2
]
.
4
.
5
.
I
m
pa
c
t
o
f
us
er
beha
v
io
r
o
n
s
y
s
t
em
perf
o
r
m
a
nce
User
ac
tio
n
s
g
r
ea
tly
af
f
ec
t
h
o
w
well
a
s
y
s
tem
wo
r
k
s
,
esp
ec
ially
f
o
r
b
ig
ap
p
licatio
n
s
lik
e
Face
b
o
o
k
,
wh
er
e
u
s
er
in
ter
ac
tio
n
s
p
r
o
d
u
ce
a
lo
t
o
f
r
ea
l
-
tim
e
d
ata.
Dif
f
er
en
ce
s
in
u
s
er
ac
tiv
ity
,
lik
e
h
o
w
o
f
ten
th
ey
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en
d
m
ess
ag
es
an
d
h
o
w
in
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d
t
h
ey
a
r
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c
r
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te
ch
a
n
g
in
g
wo
r
k
lo
ad
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at
p
u
t
a
s
tr
ain
o
n
th
e
s
y
s
tem
’
s
ab
ilit
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to
s
ca
le
well.
Fo
r
in
s
tan
ce
,
th
e
s
etu
p
o
f
th
e
r
ea
l
-
tim
e
ch
at
s
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s
tem
n
ee
d
s
to
h
an
d
le
b
illi
o
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s
o
f
m
ess
ag
es
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ch
d
ay
wh
ile
m
ain
tain
in
g
lo
w
d
elay
s
an
d
h
ig
h
u
p
tim
e.
T
h
u
s
,
th
e
h
y
b
r
id
co
m
m
u
n
icatio
n
m
o
d
el
th
at
m
ix
es
PULL
an
d
PUSH
tech
n
iq
u
es,
ex
p
lain
ed
in
[
1
5
]
,
h
ig
h
lig
h
ts
th
e
co
m
p
licated
r
elatio
n
s
h
ip
b
etwe
en
u
s
er
b
eh
av
io
r
an
d
s
y
s
tem
r
eq
u
ir
em
en
ts
.
L
ik
ewise,
an
aly
zin
g
u
s
er
-
g
en
e
r
ated
c
o
n
ten
t
to
u
n
d
er
s
tan
d
p
u
b
lic
o
p
in
io
n
,
as
d
is
cu
s
s
ed
in
[
1
3
]
,
s
h
o
ws
h
o
w
ch
a
n
g
es
in
u
s
er
ac
tiv
ity
ca
n
in
f
lu
en
ce
th
e
ef
f
icien
cy
o
f
b
ac
k
en
d
p
r
o
ce
s
s
es,
im
p
ac
tin
g
o
v
er
all
s
y
s
tem
p
er
f
o
r
m
an
ce
.
T
h
er
ef
o
r
e,
it’s
cr
u
cial
to
r
eg
u
lar
ly
m
o
n
ito
r
an
d
ad
ju
s
t
s
y
s
tem
p
ar
ts
to
p
r
e
v
en
t
p
er
f
o
r
m
an
ce
d
r
o
p
s
d
u
e
to
u
n
p
r
ed
ictab
le
u
s
er
ac
ti
o
n
s
,
em
p
h
asizin
g
th
e
im
p
o
r
tan
ce
o
f
ef
f
icien
t
d
esig
n
s
th
at
ca
n
h
an
d
le
h
ig
h
wo
r
k
lo
a
d
s
itu
atio
n
s
.
5.
F
UT
UR
E
DIR
E
C
T
I
O
NS
A
ND
I
NNO
VA
T
I
O
N
S
Face
b
o
o
k
is
f
ac
in
g
p
r
o
b
lem
s
with
h
ea
v
y
wo
r
k
lo
ad
s
an
d
lo
t
s
o
f
d
ata,
s
o
u
s
in
g
n
ew
tec
h
n
o
lo
g
ies
is
v
er
y
im
p
o
r
tan
t
f
o
r
its
f
u
tu
r
e
p
lan
s
.
T
h
e
way
its
m
es
s
ag
in
g
an
d
ch
at
s
er
v
ices
ca
n
g
r
o
w
s
h
o
ws
th
at
im
p
r
o
v
em
e
n
ts
ar
e
n
ee
d
ed
;
f
o
r
ex
am
p
le,
th
e
m
ess
en
g
er
Sy
n
c
p
r
o
to
co
l
h
as
cu
t
d
o
wn
o
n
n
o
n
-
m
ed
ia
d
ata
u
s
e
b
y
4
0
%,
wh
ich
s
h
o
ws
th
er
e
is
r
o
o
m
f
o
r
b
etter
p
e
r
f
o
r
m
an
ce
i
n
co
m
m
u
n
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n
to
o
ls
.
Ad
d
iti
o
n
ally
,
th
e
u
s
e
o
f
SDN
with
in
ter
n
et
o
f
th
in
g
s
(
I
o
T
)
ap
p
licatio
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s
,
m
en
ti
o
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ed
i
n
r
ec
en
t
s
tu
d
ies,
co
u
ld
h
elp
i
m
p
r
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v
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h
o
w
d
ata
is
m
an
ag
ed
ac
r
o
s
s
d
if
f
e
r
en
t
p
lat
f
o
r
m
s
[
3
3
]
.
B
y
u
s
in
g
a
d
v
an
ce
d
m
eth
o
d
s
lik
e
tex
t
m
i
n
in
g
a
n
d
n
at
u
r
al
lan
g
u
a
g
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
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T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
S
ca
lin
g
o
f F
a
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b
o
o
k
a
r
ch
itectu
r
e
a
n
d
tech
n
o
lo
g
y
s
ta
ck
w
ith
h
ea
vy
w
o
r
klo
a
d
:
p
a
s
t,
p
r
esen
t
…
(
To
le
S
u
tikn
o
)
779
p
r
o
ce
s
s
in
g
,
n
o
te
d
in
d
is
cu
s
s
io
n
s
ab
o
u
t
E
-
co
m
m
er
ce
[
3
4
]
,
F
ac
eb
o
o
k
ca
n
b
etter
u
n
d
er
s
tan
d
h
o
w
u
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s
in
ter
ac
t
an
d
wh
at
th
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y
lik
e,
lea
d
in
g
to
n
ew
id
ea
s
in
u
s
er
en
g
a
g
em
en
t.
T
h
e
lin
k
b
etwe
en
t
h
ese
tech
n
o
lo
g
ical
im
p
r
o
v
em
e
n
ts
allo
ws
Face
b
o
o
k
to
n
o
t
o
n
ly
ex
p
an
d
its
s
er
v
ices
b
u
t
also
ch
an
g
e
th
e
way
u
s
er
s
ex
p
er
ien
ce
th
e
d
ig
ital w
o
r
ld
.
5
.
1
.
E
m
er
g
ing
t
ec
hn
o
lo
g
ies t
ha
t
co
uld
influence
s
ca
li
ng
T
h
e
o
n
g
o
in
g
g
r
o
wth
o
f
n
ew
tech
n
o
lo
g
ies
h
as
im
p
o
r
tan
t
ef
f
ec
ts
o
n
d
ev
elo
p
in
g
lar
g
e
ar
c
h
itectu
r
es,
esp
ec
ially
in
s
o
cial
m
e
d
ia.
R
ec
en
t
p
r
o
g
r
ess
in
cl
o
u
d
co
m
p
u
t
in
g
,
m
ac
h
in
e
lear
n
in
g
,
an
d
d
is
tr
ib
u
ted
d
atab
ases
o
p
en
s
way
s
to
im
p
r
o
v
e
p
e
r
f
o
r
m
an
ce
an
d
b
etter
m
an
ag
e
d
ata
.
Fo
r
ex
a
m
p
le,
m
o
v
in
g
to
a
f
e
d
er
ated
ar
c
h
itectu
r
e
d
ea
ls
with
th
e
co
m
p
lex
b
ala
n
ce
o
f
co
s
t
an
d
co
m
p
le
x
ity
am
id
r
is
in
g
d
ata
n
ee
d
s
,
w
h
ich
is
ess
en
tial
f
o
r
co
m
p
an
ies
lik
e
Face
b
o
o
k
th
at
h
an
d
le
h
u
g
e
s
tr
ea
m
s
o
f
u
s
er
in
ter
ac
tio
n
s
[
3
5
]
.
Fu
r
th
er
m
o
r
e
,
ad
d
in
g
r
e
al
-
tim
e
an
aly
tics
tech
allo
ws
s
y
s
tem
s
to
q
u
ick
ly
p
r
o
ce
s
s
d
ata
an
d
g
en
er
ate
in
s
ig
h
ts
,
wh
ich
is
v
ita
l
f
o
r
k
ee
p
in
g
u
s
er
s
en
g
ag
ed
an
d
r
u
n
n
i
n
g
e
f
f
icien
t
ly
.
T
h
is
s
h
if
t
r
ef
lects
th
e
ar
ch
i
tectu
r
al
s
tr
ateg
ies
s
ee
n
in
Face
b
o
o
k
’
s
m
ess
ag
in
g
s
etu
p
,
wh
er
e
to
o
ls
lik
e
My
R
o
ck
s
h
a
v
e
ch
a
n
g
ed
d
ata
s
to
r
ag
e
m
eth
o
d
s
,
s
p
ee
d
in
g
u
p
d
ata
r
etr
iev
al
w
h
ile
r
ed
u
cin
g
p
r
ess
u
r
e
o
n
s
y
s
tem
s
[
1
5
]
.
As
th
ese
tr
en
d
s
d
ev
el
o
p
,
th
eir
o
v
er
all
ef
f
ec
t
o
n
s
ca
l
ab
ilit
y
will
b
e
m
o
r
e
n
o
ticea
b
le,
r
eq
u
ir
in
g
a
f
o
r
war
d
-
th
in
k
in
g
ap
p
r
o
ac
h
to
d
esig
n
an
d
tech
in
te
g
r
atio
n
.
5
.
2
.
P
re
dict
io
ns
f
o
r
F
a
ce
bo
o
k
’
s
a
rc
hite
ct
ure
ev
o
lutio
n
As
Face
b
o
o
k
wo
r
k
s
th
r
o
u
g
h
a
co
m
p
licated
d
ata
en
v
i
r
o
n
m
e
n
t,
it
m
u
s
t
ad
v
a
n
ce
its
s
tr
u
ct
u
r
e
to
m
ee
t
g
r
o
win
g
n
ee
d
s
f
o
r
b
o
th
s
ca
le
an
d
p
er
f
o
r
m
an
ce
.
Go
in
g
to
wa
r
d
s
a
m
o
r
e
co
n
n
ec
ted
a
n
d
s
p
r
ea
d
-
o
u
t
s
y
s
tem
,
as
n
ew
s
tu
d
ies
s
u
g
g
est,
m
ay
h
el
p
Face
b
o
o
k
m
an
a
g
e
its
d
if
f
er
en
t
d
ata
s
o
u
r
ce
s
an
d
co
m
b
in
e
o
ld
er
s
y
s
tem
s
b
etter
[
3
5
]
.
Als
o
,
th
e
m
o
v
e
t
o
ed
g
e
co
m
p
u
tin
g
o
f
f
er
s
a
ch
an
ce
f
o
r
Face
b
o
o
k
to
r
e
d
u
ce
d
ela
y
s
an
d
en
h
an
ce
u
s
er
ex
p
er
ien
ce
,
esp
ec
ially
in
le
s
s
s
er
v
ed
ar
ea
s
[
2
2
]
.
Utili
zin
g
lo
w
-
en
er
g
y
h
ar
d
war
e
b
o
o
s
ter
s
an
d
n
ew
m
an
ag
em
en
t
m
eth
o
d
s
,
Face
b
o
o
k
ca
n
s
im
p
lify
h
o
w
it
d
ep
lo
y
s
ap
p
licatio
n
s
an
d
m
ak
es
b
etter
u
s
e
o
f
r
eso
u
r
ce
s
,
im
p
r
o
v
in
g
o
v
e
r
all
s
y
s
tem
d
ep
en
d
ab
ilit
y
.
T
h
e
en
g
i
n
ee
r
in
g
ch
allen
g
es
o
f
its
ex
is
tin
g
r
e
al
-
tim
e
ch
at
s
y
s
tem
illu
s
tr
ate
th
is
;
a
n
ew,
f
lex
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le
d
esig
n
co
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ld
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f
o
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ier
s
ca
lin
g
wh
ile
k
ee
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in
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co
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ts
u
n
d
er
c
o
n
tr
o
l.
I
n
co
n
clu
s
io
n
,
th
ese
f
o
r
ec
asts
f
o
r
Face
b
o
o
k
’
s
s
tr
u
ctu
r
e
h
ig
h
lig
h
t
th
e
im
p
o
r
tan
ce
o
f
a
f
lex
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le,
r
esp
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s
iv
e
s
y
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tem
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ca
n
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k
lo
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at
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as
s
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r
o
m
th
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co
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an
d
p
r
esen
ce
m
a
n
ag
em
en
t te
ch
n
o
lo
g
y
[
1
5
]
.
5
.
3
.
P
o
t
ent
ia
l f
o
r
a
rt
i
f
icia
l int
ellig
ence
a
nd
m
a
chine le
a
rning
inte
g
ra
t
io
n
I
n
th
e
last
f
ew
y
ea
r
s
,
ad
d
in
g
a
r
tific
ial
in
tellig
en
ce
an
d
m
ac
h
in
e
lear
n
in
g
to
lar
g
e
s
y
s
tem
s
,
lik
e
th
o
s
e
u
s
ed
b
y
Face
b
o
o
k
,
h
as
ch
a
n
g
ed
h
o
w
d
ata
is
p
r
o
ce
s
s
ed
an
d
an
aly
ze
d
.
B
y
u
s
in
g
c
o
m
p
lex
alg
o
r
ith
m
s
,
Face
b
o
o
k
’
s
s
y
s
tem
s
ca
n
im
p
r
o
v
e
u
s
er
ex
p
er
ien
ce
s
th
r
o
u
g
h
p
er
s
o
n
alize
d
in
ter
ac
tio
n
s
an
d
m
an
ag
e
th
e
h
u
g
e
am
o
u
n
ts
o
f
d
ata
cr
ea
ted
ea
c
h
d
ay
,
esp
e
cially
in
r
ea
l
-
tim
e
ap
p
s
lik
e
its
ch
at
s
er
v
ice.
T
h
e
u
s
e
o
f
ar
tific
ial
in
tellig
en
ce
an
d
m
ac
h
in
e
lea
r
n
in
g
also
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elp
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etter
r
eso
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r
ce
m
an
a
g
em
en
t
an
d
f
o
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ec
ast
an
aly
tics
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m
ak
in
g
it
ea
s
ier
to
h
a
n
d
le
u
s
er
p
r
esen
ce
in
f
o
r
m
atio
n
,
wh
ich
is
a
v
ital
an
d
d
em
an
d
i
n
g
ta
s
k
[
1
5
]
.
A
d
d
itio
n
ally
,
p
r
o
g
r
ess
in
th
ese
tech
n
o
lo
g
ies
ca
n
im
p
r
o
v
e
m
ess
ag
e
q
u
eu
in
g
an
d
n
etwo
r
k
tr
af
f
ic
m
an
ag
e
m
en
t,
as
s
h
o
wn
b
y
th
e
m
ess
en
g
er
Sy
n
c
p
r
o
to
c
o
ls
’
b
e
tter
d
ata
u
s
ag
e
[
3
6
]
.
T
h
er
ef
o
r
e,
in
teg
r
at
in
g
ar
tific
ial
in
tellig
en
ce
an
d
m
ac
h
in
e
lear
n
in
g
in
to
lar
g
e
s
y
s
tem
s
n
o
t
o
n
l
y
s
o
lv
es
cu
r
r
e
n
t
p
r
o
b
lem
s
b
u
t
also
h
elp
s
o
r
g
an
izatio
n
s
q
u
ick
l
y
a
d
ju
s
t
to
f
u
tu
r
e
n
ee
d
s
.
5
.
4
.
Str
a
t
eg
ies f
o
r
s
us
t
a
ina
ble sca
lin
g
pra
ct
ices
T
h
e
q
u
est
f
o
r
s
u
s
tain
ab
le
s
ca
lin
g
m
eth
o
d
s
n
ee
d
s
s
m
ar
t
s
tr
ateg
ies
th
at
ca
n
ch
an
g
e
with
n
ew
wo
r
k
lo
ad
s
a
n
d
tech
p
r
o
g
r
ess
.
Go
o
d
s
ca
lab
ilit
y
r
e
q
u
ir
es
s
tr
o
n
g
ar
ch
itectu
r
e
an
d
a
g
o
o
d
g
r
asp
o
f
th
e
to
o
ls
f
o
u
n
d
in
th
e
b
ig
d
ata
wo
r
ld
.
Fo
r
ex
am
p
le,
as
s
h
o
wn
in
n
e
w
s
tu
d
ies,
co
m
b
in
in
g
d
if
f
e
r
en
t
o
p
en
-
s
o
u
r
ce
t
o
o
l
s
in
to
a
u
n
if
ie
d
s
y
s
tem
h
elp
s
h
an
d
le
a
n
d
a
n
aly
ze
d
ata
well,
esp
ec
ially
in
h
ig
h
-
u
s
er
s
itu
atio
n
s
lik
e
Face
b
o
o
k
’
s
s
etu
p
[
2
6
]
.
Mo
r
e
o
v
er
,
u
s
in
g
m
ac
h
in
e
lear
n
in
g
m
eth
o
d
s
,
lik
e
n
aiv
e
B
ay
es
an
d
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
es
f
o
r
s
tu
d
y
in
g
s
en
tim
en
t,
s
h
o
ws h
o
w
u
s
er
-
g
en
er
ated
c
o
n
ten
t p
r
o
c
ess
in
g
ca
n
b
e
im
p
r
o
v
e
d
,
as th
e
s
e
tech
n
iq
u
es m
ak
e
it
q
u
ick
er
to
r
esp
o
n
d
to
r
ea
l
-
tim
e
d
ata
[
1
3
]
.
Su
s
tain
ab
le
s
ca
lin
g
m
eth
o
d
s
s
h
o
u
ld
also
f
o
cu
s
o
n
r
ed
u
ci
n
g
r
eso
u
r
ce
u
s
e
wh
ile
b
o
o
s
tin
g
p
er
f
o
r
m
an
ce
,
b
y
u
s
in
g
clo
u
d
s
y
s
tem
s
to
ea
s
e
o
n
-
s
ite
h
ar
d
war
e
lim
its
.
I
n
s
u
m
m
ar
y
,
th
e
c
o
m
b
in
atio
n
o
f
ca
r
ef
u
l
to
o
l
ch
o
ice,
cle
v
e
r
al
g
o
r
ith
m
u
s
e,
a
n
d
clo
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in
te
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m
ak
es
f
o
r
a
well
-
r
o
u
n
d
e
d
way
to
k
ee
p
s
ca
l
ab
ilit
y
in
b
u
s
y
e
n
v
ir
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n
m
en
ts
.
5
.
5
.
Ant
icipa
t
ed
re
g
ula
t
o
ry
i
m
pa
ct
s
o
n t
ec
hn
o
lo
g
y
s
t
a
ck
Fu
tu
r
e
r
u
les
ar
e
lik
ely
to
g
r
ea
tly
im
p
ac
t
th
e
tech
n
o
lo
g
y
u
s
ed
b
y
co
m
p
an
ies
lik
e
Face
b
o
o
k
,
p
ar
ticu
lar
ly
as
th
ey
d
ea
l
with
b
ig
d
ata
a
n
d
h
ea
v
y
wo
r
k
lo
a
d
s
.
Pre
v
io
u
s
s
tu
d
ies
s
h
o
w
th
at
t
h
e
m
er
g
i
n
g
o
f
clo
u
d
an
d
HPC
tech
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o
l
o
g
ies
cr
ea
tes
an
im
p
o
r
tan
t
b
alan
ce
b
etwe
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co
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p
lian
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d
e
f
f
icien
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,
r
eq
u
ir
in
g
n
ew
id
ea
s
in
th
e
b
ase
ar
c
h
itectu
r
e
[
1
6
]
.
R
eg
u
lato
r
s
m
ig
h
t
s
et
s
tr
ict
d
a
ta
p
r
iv
ac
y
r
u
les
th
at
will
af
f
e
ct
s
to
r
ag
e
s
o
lu
tio
n
s
an
d
d
ata
m
a
n
ag
em
en
t
p
r
ac
tices,
p
u
s
h
in
g
o
r
g
an
izatio
n
s
to
u
s
e
s
tr
o
n
g
e
r
,
clea
r
e
r
s
y
s
tem
s
f
o
r
h
an
d
lin
g
u
s
er
d
ata.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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2
2
5
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-
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7
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I
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f
&
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T
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Vo
l.
1
4
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No
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3
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Dec
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b
er
20
2
5
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780
Ad
d
itio
n
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,
th
e
ex
p
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r
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wth
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f
d
ata
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p
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is
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in
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ch
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ch
itectu
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ar
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wh
ile
f
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win
g
r
e
g
u
lato
r
y
r
u
les
[
3
7
]
.
T
h
ese
m
o
d
if
icatio
n
s
will
n
ee
d
n
o
t
o
n
ly
ch
an
g
es
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tech
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m
a
n
ce
in
ch
a
n
g
in
g
leg
al
e
n
v
ir
o
n
m
en
ts
.
6.
CO
NCLU
SI
O
N
Face
b
o
o
k
'
s
s
y
s
tem
,
wh
ich
m
a
n
ag
es
lar
g
e
wo
r
k
lo
ad
s
a
n
d
s
ig
n
if
ican
t
d
ata
v
o
lu
m
es,
h
as
e
n
co
u
n
ter
e
d
v
ar
io
u
s
ch
allen
g
es
an
d
s
o
lu
ti
o
n
s
th
at
m
a
y
in
f
o
r
m
f
u
tu
r
e
te
ch
n
o
lo
g
ical
ad
v
a
n
ce
m
en
ts
.
T
h
e
s
h
if
t
f
r
o
m
HB
ase
to
My
R
o
ck
s
s
ig
n
if
ies
a
m
ajo
r
tr
an
s
f
o
r
m
atio
n
in
d
ata
m
an
a
g
em
en
t
f
o
cu
s
ed
o
n
o
p
tim
izin
g
o
p
er
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n
s
in
a
r
ap
id
ly
ev
o
l
v
in
g
en
v
ir
o
n
m
e
n
t.
Face
b
o
o
k
'
s
ar
ch
itectu
r
al
u
p
d
ate
h
as
u
n
v
eiled
ch
allen
g
es
an
d
in
n
o
v
ativ
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id
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th
at
h
av
e
f
ac
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ated
its
g
r
o
wt
h
.
T
h
e
im
p
lem
en
tatio
n
o
f
a
h
y
b
r
id
co
m
m
u
n
icatio
n
m
eth
o
d
th
at
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p
lo
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s
b
o
th
PULL
an
d
PUSH
m
ec
h
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is
m
s
f
o
r
r
ap
id
m
ess
ag
in
g
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f
ec
tiv
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ag
es
u
s
er
s
.
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h
e
m
ig
r
atio
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f
r
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HB
ase
to
My
R
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s
f
o
r
m
ess
ag
e
s
to
r
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u
n
d
e
r
s
co
r
es
Face
b
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k
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ed
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n
to
p
er
f
o
r
m
an
ce
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d
at
a
v
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m
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cr
ea
s
e,
illu
s
tr
atin
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th
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im
p
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tan
ce
o
f
a
r
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b
u
s
t
tech
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ical
f
r
am
ewo
r
k
to
h
an
d
le
b
ig
d
at
a.
T
h
ese
tec
h
n
ical
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v
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ce
m
e
n
ts
s
et
a
s
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d
ar
d
f
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r
e
m
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if
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a
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m
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,
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e
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lectin
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f
ch
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d
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.
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e
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tech
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lo
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h
o
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ld
p
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itize
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d
ata
s
to
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g
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d
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d
co
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m
u
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ca
tio
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m
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th
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is
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g
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d
s
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f
h
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wo
r
k
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b
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d
at
a.
C
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p
an
ies
lik
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Face
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k
m
u
s
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k
ee
p
p
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th
e
s
wif
t
in
cr
ea
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ter
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s
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ate
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ase
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to
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f
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co
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p
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p
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o
f
th
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wo
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k
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F
UNDING
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Evaluation Warning : The document was created with Spire.PDF for Python.
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781
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DATA AV
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AB
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a
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e
d
i
n
t
h
is
s
t
u
d
y
.
RE
F
E
R
E
NC
E
S
[
1
]
D
.
D
.
A
l
b
e
st
a
,
M
.
L
.
J
o
n
a
t
h
a
n
,
M
.
J
a
w
a
d
,
O
.
H
a
r
d
i
a
w
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n
,
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n
d
D
.
S
u
h
a
r
t
o
n
o
,
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T
h
e
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mp
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c
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o
f
se
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m
e
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t
a
n
a
l
y
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s
f
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m
u
ser
o
n
F
a
c
e
b
o
o
k
t
o
e
n
h
a
n
c
e
d
t
h
e
ser
v
i
c
e
q
u
a
l
i
t
y
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
E
l
e
c
t
ri
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l
a
n
d
C
o
m
p
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t
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r
En
g
i
n
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e
ri
n
g
(
I
J
EC
E)
,
v
o
l
.
1
1
,
n
o
.
4
,
p
p
.
3
4
2
4
–
3
4
3
3
,
2
0
2
1
,
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o
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:
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e
.
v
1
1
i
4
.
p
p
3
4
2
4
-
3
4
3
3
.
[
2
]
S
.
R
a
m
o
n
d
t
,
M
.
Z
i
j
l
st
r
a
,
P
.
K
e
r
k
h
o
f
,
a
n
d
E.
-
M
.
M
e
r
z
,
“
B
a
r
r
i
e
r
s
t
o
b
l
o
o
d
d
o
n
a
t
i
o
n
o
n
so
c
i
a
l
me
d
i
a
:
a
n
a
n
a
l
y
si
s
o
f
F
a
c
e
b
o
o
k
a
n
d
Tw
i
t
t
e
r
p
o
s
t
s,
”
T
r
a
n
s
f
u
si
o
n
,
v
o
l
.
6
0
,
n
o
.
1
0
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p
p
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o
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:
1
0
.
1
1
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f
.
1
5
9
9
8
.
[
3
]
L.
Eg
e
r
,
D
.
Eg
e
r
o
v
á
,
L.
T
o
mc
z
y
k
,
a
n
d
M
.
K
r
y
s
t
o
ň
,
“
H
o
w
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v
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s
i
t
i
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s
c
o
mm
u
n
i
c
a
t
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t
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p
u
b
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s
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F
a
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b
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k
p
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g
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,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
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a
l
o
f
M
e
d
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a
a
n
d
I
n
f
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rm
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,
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.
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7
/
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JM
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L.
2
0
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1
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1
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8
8
.
[
4
]
F
.
A
.
C
a
r
r
i
l
l
a
t
,
A
.
d
’
A
st
o
u
s,
a
n
d
E.
M
.
G
r
é
g
o
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r
e
,
“
Le
v
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n
g
s
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c
i
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l
m
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d
i
a
t
o
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a
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c
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c
r
u
i
t
me
n
t
e
f
f
e
c
t
i
v
e
n
e
ss
:
A
F
a
c
e
b
o
o
k
e
x
p
e
r
i
me
n
t
,
”
I
n
t
e
rn
e
t
Re
s
e
a
r
c
h
,
v
o
l
.
2
4
,
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o
.
4
,
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o
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1
0
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t
R
-
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-
2
0
1
3
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0
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4
2
.
[
5
]
P
.
Lá
z
a
r
o
-
R
o
d
r
í
g
u
e
z
,
“
D
i
g
i
t
a
l
n
e
w
s
o
n
p
u
b
l
i
c
l
i
b
r
a
r
i
e
s:
M
e
d
i
a
ma
p
p
i
n
g
a
n
d
t
h
e
ma
t
i
c
a
n
d
c
o
n
s
u
m
p
t
i
o
n
a
n
a
l
y
s
i
s
b
a
s
e
d
o
n
F
a
c
e
b
o
o
k
i
n
t
e
r
a
c
t
i
o
n
s,
”
P
ro
f
e
s
i
o
n
a
l
d
e
l
a
I
n
f
o
rm
a
c
i
o
n
,
v
o
l
.
3
0
,
n
o
.
1
,
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p
.
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–
1
3
,
2
0
2
1
,
d
o
i
:
1
0
.
3
1
4
5
/
e
p
i
.
2
0
2
1
.
e
n
e
.
1
5
.
[
6
]
M
.
K
o
w
a
l
,
“
Th
e
v
a
l
u
e
o
f
a
l
i
k
e
:
F
a
c
e
b
o
o
k
,
v
i
r
a
l
p
o
st
s
,
a
n
d
c
a
mp
a
i
g
n
f
i
n
a
n
c
e
i
n
U
S
c
o
n
g
r
e
ss
i
o
n
a
l
e
l
e
c
t
i
o
n
s
,
”
Me
d
i
a
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
,
v
o
l
.
1
1
,
n
o
.
3
,
p
p
.
1
5
3
–
1
6
3
,
2
0
2
3
,
d
o
i
:
1
0
.
1
7
6
4
5
/
mac
.
v
1
1
i
3
.
6
6
6
1
.
[
7
]
E.
S
k
o
g
e
r
b
ø
a
n
d
A
.
H
.
K
r
u
ms
v
i
k
,
“
N
e
w
sp
a
p
e
r
s
,
F
a
c
e
b
o
o
k
a
n
d
Tw
i
t
t
e
r
:
I
n
t
e
r
med
i
a
l
a
g
e
n
d
a
se
t
t
i
n
g
i
n
l
o
c
a
l
e
l
e
c
t
i
o
n
c
a
mp
a
i
g
n
s,”
J
o
u
rn
a
l
i
sm
Pra
c
t
i
c
e
,
v
o
l
.
9
,
n
o
.
3
,
p
p
.
3
5
0
–
3
6
6
,
2
0
1
5
,
d
o
i
:
1
0
.
1
0
8
0
/
1
7
5
1
2
7
8
6
.
2
0
1
4
.
9
5
0
4
7
1
.
[
8
]
I
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