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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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8
9
-
4864
IJ
R
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Vo
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5
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No
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1
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Ma
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20
1
6
:
5
7
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68
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o
v
er
h
ea
d
s
an
d
m
a
x
i
m
izi
n
g
t
h
e
d
eter
m
in
i
s
m
.
T
h
is
p
ap
er
is
o
r
g
an
ized
as
f
o
llo
w
s
.
Sectio
n
2
i
s
an
o
v
er
v
i
e
w
o
f
th
e
Har
d
w
ar
e/
So
f
t
w
ar
e
co
-
d
esig
n
ap
p
r
o
ac
h
es.
Sectio
n
3
d
escr
i
b
es
r
elate
d
w
o
r
k
o
f
o
t
h
er
r
e
s
ea
r
ch
p
r
o
j
ec
ts
,
p
r
o
p
o
s
ed
m
o
d
el
is
d
i
s
cu
s
s
ed
i
n
s
ec
tio
n
4
an
d
s
ec
tio
n
5
co
v
er
s
s
u
m
m
ar
y
a
n
d
co
n
clu
s
io
n
f
r
o
m
m
ain
l
y
p
r
ev
io
u
s
w
o
r
k
a
n
d
r
elate
d
w
o
r
k
.
2.
HA
RDWAR
E
SO
F
T
WARE
CO
-
DE
SI
G
N
A
RCH
I
T
E
C
U
RE
R
T
Os
ar
e
o
f
ten
u
s
ed
in
e
m
b
e
d
d
ed
s
y
s
te
m
s
to
s
tr
u
c
tu
r
e
t
h
e
ap
p
licatio
n
co
d
e
to
en
s
u
r
e
th
a
t
d
ea
d
lin
e
s
ar
e
m
et.
T
h
e
n
o
tio
n
s
o
f
b
est
-
ef
f
o
r
t
an
d
r
ea
l
-
t
i
m
e
p
r
o
ce
s
s
i
n
g
h
a
v
e
f
r
ac
t
u
r
ed
in
to
a
s
p
ec
tr
u
m
o
f
p
r
o
ce
s
s
i
n
g
class
es
w
it
h
d
if
f
er
en
t
ti
m
el
in
ess
r
eq
u
ir
e
m
e
n
ts
i
n
cl
u
d
in
g
d
esk
to
p
m
u
lti
m
ed
ia,
s
o
f
t
r
ea
l
-
ti
m
e,
f
ir
m
r
ea
l
-
ti
m
e,
ad
ap
tiv
e
s
o
f
t
r
ea
l
-
ti
m
e
a
n
d
tr
ad
itio
n
al
h
ar
d
r
ea
l
-
ti
m
e
[
2
-
4
]
.
Ma
n
y
R
ea
l
-
T
im
e
s
y
s
te
m
s
ar
e
h
ar
d
an
d
m
i
s
s
i
n
g
d
ea
d
lin
e
is
ca
tast
r
o
p
h
ic
w
h
er
e
as
i
n
s
o
f
t
r
ea
l
-
ti
m
e
s
y
s
te
m
,
o
cc
asio
n
al
v
io
latio
n
o
f
d
ea
d
lin
e
m
a
y
n
o
t
r
es
u
lt
i
n
u
s
ele
s
s
e
x
ec
u
t
io
n
o
f
t
h
e
ap
p
licatio
n
b
u
t d
ec
r
ea
s
es
u
tili
za
tio
n
[
5
]
.
T
r
a
d
itio
n
all
y
R
T
OS’
s
ar
e
i
m
p
le
m
e
n
ted
in
s
o
f
t
w
ar
e,
b
u
t
m
aj
o
r
d
r
a
w
b
ac
k
s
o
f
s
ta
n
d
ar
d
s
o
f
t
w
ar
e
b
ased
R
T
OS’
s
is
t
h
at
t
h
e
y
s
u
f
f
er
f
r
o
m
co
m
p
u
tatio
n
al
o
v
er
h
ea
d
s
,
in
d
eter
m
in
is
m
,
j
itter
a
n
d
o
f
t
en
a
lar
g
e
m
e
m
o
r
y
f
o
o
tp
r
in
t.
R
T
OS
co
m
p
u
tatio
n
al
o
v
er
h
ea
d
s
i
s
ca
u
s
ed
m
ai
n
l
y
b
y
tic
k
i
n
ter
r
u
p
t
m
a
n
ag
e
m
e
n
t,
w
h
ich
g
et
e
v
e
n
w
o
r
s
e
w
it
h
m
o
r
e
task
an
d
h
ig
h
tic
k
f
r
eq
u
e
n
cie
s
,
b
u
t
als
o
task
s
ch
ed
u
lin
g
,
r
eso
u
r
ce
allo
ca
tio
n
an
d
d
e
-
allo
ca
tio
n
,
d
ea
d
lo
ck
d
etec
tio
n
an
d
v
ar
io
u
s
o
th
er
OS/
A
P
I
f
u
n
ctio
n
s
ta
k
e
e
x
ec
u
tio
n
ti
m
e
f
r
o
m
t
h
e
ta
s
k
r
u
n
n
in
g
o
n
th
e
C
P
U.
E
m
b
ed
d
ed
s
y
s
te
m
al
w
a
y
s
co
n
s
is
t
s
o
f
s
o
f
t
w
ar
e
a
n
d
h
ar
d
w
ar
e
co
m
p
o
n
en
ts
a
n
d
ca
n
n
o
lo
n
g
er
d
ep
en
d
in
i
n
d
ep
en
d
en
t
h
ar
d
w
ar
e
o
r
s
o
f
t
w
ar
e
s
o
lu
tio
n
s
to
r
ea
l
ti
m
e
p
r
o
b
le
m
d
u
e
to
co
s
t,
e
f
f
icien
c
y
,
f
lex
ib
il
it
y
,
u
p
g
r
ad
ab
ilit
y
,
s
ca
lab
ilit
y
a
n
d
d
ev
elo
p
m
en
t t
i
m
e.
T
ask
i
m
p
le
m
e
n
ted
as
s
o
f
t
w
ar
e
p
r
o
g
r
am
s
r
u
n
n
i
n
g
o
n
m
icr
o
p
r
o
ce
s
s
o
r
h
av
e
th
e
p
r
o
p
er
ti
es
o
f
h
i
g
h
f
le
x
ib
ilit
y
b
u
t
p
o
o
r
p
er
f
o
r
m
a
n
c
e.
On
th
e
o
t
h
er
h
a
n
d
,
tas
k
i
m
p
le
m
e
n
ted
as
h
ar
d
w
ar
e
m
o
d
u
les
p
lace
d
i
n
Har
d
w
ar
e
h
a
v
e
t
h
e
ch
ar
ac
ter
i
s
tics
o
f
h
ig
h
p
er
f
o
r
m
a
n
ce
alo
n
g
w
it
h
lo
w
f
lex
ib
il
it
y
a
n
d
h
i
g
h
co
s
t.
T
h
e
FP
GA
tech
n
o
lo
g
y
,
w
h
ic
h
ca
n
b
e
p
r
o
g
r
a
m
m
ed
v
ir
tu
al
l
y
a
n
n
n
u
m
b
er
o
f
ti
m
es
(
d
ep
en
d
s
u
p
o
n
t
h
e
tech
n
o
lo
g
y
)
,
w
h
ic
h
p
av
ed
th
e
w
a
y
f
o
r
en
h
an
ce
d
f
l
ex
ib
ilit
y
a
n
d
m
ad
e
it
p
o
s
s
ib
le
to
i
m
p
le
m
en
t
e
s
tab
lis
h
ed
s
o
f
t
w
ar
e
al
g
o
r
ith
m
s
in
h
ar
d
w
ar
e
i.e
.
r
ea
l
-
ti
m
e
k
er
n
el
ac
tiv
it
y
li
k
e
s
c
h
ed
u
li
n
g
,
in
ter
-
p
r
o
ce
s
s
co
m
m
u
n
icatio
n
s
,
in
te
r
r
u
p
t
m
an
a
g
e
m
en
t,
r
eso
u
r
ce
m
a
n
ag
e
m
e
n
t,
s
y
n
ch
r
o
n
izatio
n
a
n
d
ti
m
e
m
a
n
a
g
e
m
e
n
t
co
n
tr
o
ls
.
Alg
o
r
it
h
m
i
m
p
le
m
en
ted
in
h
ar
d
w
ar
e
h
as
u
n
iq
u
e
ch
ar
ac
ter
is
t
ics
o
f
h
ig
h
le
v
el
p
ar
allelis
m
an
d
i
m
p
r
o
v
ed
d
eter
m
in
is
m
th
a
t
co
n
s
eq
u
en
tl
y
d
ec
r
ea
s
es
s
y
s
te
m
o
v
er
h
ea
d
,
i
m
p
r
o
v
e
p
r
ed
ictab
ilit
y
an
d
i
n
cr
ea
s
es r
esp
o
n
s
e
ti
m
e.
As
a
tr
ad
eo
f
f
s
,
r
ec
o
n
f
i
g
u
r
ab
l
e
an
d
h
ar
d
w
ar
e/so
f
t
w
ar
e
co
-
d
esig
n
ap
p
r
o
ac
h
es
th
a
t
o
f
f
er
r
ea
l
ti
m
e
ca
p
ab
ilit
ies
w
h
i
le
m
a
in
ta
in
i
n
g
f
lex
ib
il
it
y
to
s
u
p
p
o
r
t
in
cr
ea
s
in
g
co
m
p
le
x
s
y
s
te
m
s
b
ec
o
m
e
m
o
r
e
f
ea
s
ib
le
s
o
lu
tio
n
to
allo
w
s
o
f
t
w
ar
e
ta
s
k
s
r
u
n
n
i
n
g
o
n
a
m
icr
o
p
r
o
ce
s
s
o
r
alo
n
g
w
it
h
h
ar
d
w
ar
e
tas
k
r
u
n
n
i
n
g
i
n
an
FP
G
A
d
ev
ice
.
T
h
is
h
ar
d
w
ar
e/so
f
t
w
ar
e
co
-
d
esi
g
n
ap
p
r
o
ac
h
r
ea
ch
a
le
v
el
o
f
m
at
u
r
it
y
t
h
at
ar
e
allo
w
in
g
s
y
s
te
m
d
esig
n
er
s
to
p
er
f
o
r
m
o
p
er
atin
g
s
y
s
te
m
s
co
r
e
an
d
h
o
u
s
e
k
ee
p
in
g
f
u
n
ctio
n
a
lit
y
s
u
c
h
as
ti
m
e
m
a
n
a
g
e
m
e
n
t
a
n
d
task
s
c
h
ed
u
l
in
g
in
h
ar
d
w
ar
e
h
ar
n
ess
t
h
e
ad
v
an
ta
g
es
o
f
h
ig
h
e
r
lev
el
p
r
o
g
r
am
d
ev
elo
p
m
e
n
t
w
h
ile
ac
h
iev
i
n
g
th
e
p
er
f
o
r
m
a
n
ce
p
o
ten
tial o
f
f
er
ed
b
y
e
x
ec
u
tio
n
s
o
f
th
e
s
e
f
u
n
ctio
n
s
i
n
p
ar
allel
h
ar
d
w
ar
e
cir
cu
it
s
.
3.
RE
L
AT
E
D
WO
RK
T
h
e
m
ain
s
o
u
r
ce
o
f
i
n
d
eter
m
i
n
is
m
i
n
r
ea
l
ti
m
e
s
y
s
te
m
s
ar
e
v
ar
y
i
n
g
i
n
s
tr
u
ctio
n
c
y
cle
ti
m
e
ca
u
s
ed
b
y
p
ip
elin
e,
ca
ch
es,
v
ar
y
in
g
e
x
ec
u
tio
n
ti
m
e
o
f
R
T
Os
k
er
n
el
f
u
n
ctio
n
s
,
ex
ter
n
a
l
as
y
n
c
h
r
o
n
o
u
s
in
ter
r
u
p
t
s
etc.
B
y
m
i
g
r
atin
g
r
ea
l
ti
m
e
k
er
n
el
f
r
o
m
s
o
f
t
w
ar
e
to
h
ar
d
w
ar
e
it
is
p
o
s
s
ib
le
to
r
e
m
o
v
e
j
itter
,
less
e
n
C
P
U
o
v
er
h
ea
d
an
d
i
m
p
r
o
v
e
th
e
in
d
eter
m
in
is
m
d
u
e
to
ca
ch
e
a
n
d
p
ip
elin
e
p
r
o
b
le
m
s
.
Var
io
u
s
m
o
d
els
a
n
d
s
y
s
te
m
s
h
a
v
e
b
ee
n
p
r
o
p
o
s
ed
[
6
]
to
o
v
er
co
m
e
th
i
s
p
r
o
b
lem
an
d
s
o
m
e
o
f
t
h
e
m
w
e
r
e
d
is
cu
s
s
ed
i
n
r
e
m
ai
n
i
n
g
s
ec
ti
o
n
.
L
e
n
n
ar
t
L
i
n
d
h
et
a
l.
[
7
]
p
r
o
p
o
s
ed
a
s
y
s
te
m
F
A
ST
C
H
A
R
T
,
an
R
I
SC
b
ased
u
n
ip
r
o
ce
s
s
o
r
s
y
s
te
m
w
h
ic
h
p
u
t
s
I
D
o
f
tas
k
s
i
n
to
v
ar
io
u
s
q
u
e
u
es.
I
t
co
n
s
i
s
ts
o
f
h
ar
d
w
ar
e
b
ased
R
T
k
er
n
el
ca
p
ab
le
o
f
h
a
n
d
lin
g
6
4
task
s
w
it
h
8
d
if
f
er
e
n
t p
r
io
r
ities
.
P
OL
I
S
-
p
r
o
p
o
s
ed
b
y
F.
B
ala
r
in
,
G.
B
er
r
y
,
F.
B
o
u
s
s
in
o
t
e
t
a
l.
[
8
]
,
is
an
HW
SW
C
o
-
Des
ig
n
Fi
n
ite
State
Ma
ch
i
n
e
(
C
SF
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s
y
n
t
h
esi
s
m
o
d
el,
w
h
ic
h
s
u
p
p
o
r
ts
g
lo
b
all
y
as
y
n
ch
r
o
n
o
u
s
a
n
d
lo
ca
ll
y
s
y
n
c
h
r
o
n
o
u
s
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
R
E
S
I
SS
N:
2088
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8708
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W
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d
esig
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a
p
tive
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r
R
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(
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Ha
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n
.
I
m
p
le
m
e
n
tatio
n
is
s
p
lits
b
et
w
ee
n
So
f
t
w
ar
e
a
n
d
A
SI
C
s
an
d
C
o
-
s
i
m
u
latio
n
is
p
r
o
v
id
ed
u
s
in
g
P
to
lem
y
en
v
ir
o
n
m
e
n
t
[
9
]
.
C
o
m
p
lex
i
t
y
o
f
p
r
o
ce
s
s
o
r
s
m
a
k
es
s
tatic
est
i
m
a
tio
n
i
s
d
if
f
ic
u
lt
a
n
d
d
o
es
n
o
s
u
p
p
o
r
t
f
o
r
lar
g
e
d
esig
n
as it
g
e
n
er
ates
cu
s
to
m
ized
C
-
co
d
e
f
o
r
s
elec
ted
p
r
o
ce
s
s
o
r
s
o
n
ly
.
L
e
n
n
ar
t
L
i
n
d
h
et
a
l.
[
1
0
]
al
s
o
p
r
o
p
o
s
ed
FA
ST
HARD
wh
ich
s
u
p
p
o
r
ts
f
ea
t
u
r
es
li
k
e
r
en
d
ez
v
o
u
s
,
ex
ter
n
al
i
n
ter
r
u
p
ts
,
p
er
io
d
ic
s
tar
t
an
d
ter
m
in
a
tio
n
o
f
tas
k
w
it
h
o
u
t
C
P
U
in
ter
f
er
en
ce
.
Ho
w
e
v
er
s
y
s
te
m
i
s
li
m
ited
i
n
s
u
p
p
o
r
ts
f
o
r
cu
s
to
m
izatio
n
an
d
s
ca
lab
ilit
y
.
I
t
is
e
x
ten
s
io
n
to
ea
r
lier
w
o
r
k
F
ASTCH
AR
T
,
b
ased
o
n
g
en
er
al
p
u
r
p
o
s
e
p
r
o
ce
s
s
o
r
s
.
P
ap
er
d
o
es n
o
t p
r
o
v
id
ed
an
y
b
en
ch
m
ar
k
s
o
r
test
r
es
u
lts
.
T
h
e
C
OSYM
A
s
y
s
te
m
p
r
o
p
o
s
ed
b
y
[
1
1
]
u
s
es
s
i
m
u
lated
an
n
ea
lin
g
f
o
r
p
ar
titi
o
n
in
g
w
h
ic
h
c
an
b
e
f
in
e
o
r
co
ar
s
e
g
r
ain
ed
,
to
s
p
ee
d
u
p
s
o
f
t
w
ar
e
e
x
ec
u
tio
n
s
to
m
ee
t
ti
m
i
n
g
co
n
s
tr
ai
n
ts
.
I
t
d
o
es
n
o
t
s
u
p
p
o
r
t
b
u
r
s
t
-
m
o
d
e
co
m
m
u
n
icatio
n
.
L
i
s
t a
n
d
p
ath
b
ased
tech
n
iq
u
es a
r
e
u
s
ed
to
e
s
ti
m
ate
ex
ec
u
tio
n
t
i
m
e
o
f
h
ar
d
w
ar
e.
J
.
A
d
o
m
at
e
t
a
l.
[
1
2
]
co
m
e
u
p
w
it
h
R
T
U
(
R
ea
l
T
i
m
e
Un
i
t
)
,
a
m
u
lti
-
p
r
o
ce
s
s
o
r
s
y
s
te
m
wh
ich
u
s
es
s
in
g
le
i
n
ter
r
u
p
t i
n
p
u
t o
f
ea
ch
C
P
U
to
co
n
tr
o
l a
n
d
co
n
tex
t s
w
itc
h
i
n
g
.
L
in
d
h
et
a
l
.
[
1
3
]
also
p
r
o
p
o
s
es e
x
ten
s
ib
le
m
u
ltip
r
o
ce
s
s
o
r
s
y
s
te
m
-
S
AR
A
,
w
h
ich
ca
n
b
e
u
s
ed
to
g
eth
e
r
w
it
h
R
T
U
to
r
em
o
v
e
th
e
all
s
ch
ed
u
lin
g
an
d
tic
k
p
r
o
ce
s
s
in
g
o
v
er
h
ea
d
s
.
ST
R
ON
s
y
s
te
m
,
b
ased
o
n
µT
R
ON
p
r
o
j
ec
t
p
r
o
p
o
s
ed
b
y
T
.
Nak
an
o
et
a
l.
[
1
4
]
co
m
e
u
p
w
it
h
h
ar
d
w
ar
e
k
er
n
e
l
w
h
ic
h
i
m
p
le
m
en
ts
s
y
s
te
m
ca
lls
a
n
d
f
u
n
c
ti
o
n
alit
y
r
e
s
u
l
ts
i
n
in
cr
ea
s
in
g
s
p
ee
d
u
p
an
d
r
ed
u
cin
g
j
itter
.
T
h
is
h
ar
d
w
ar
e
k
er
n
e
l
i
s
s
u
p
p
o
r
ted
b
y
s
m
all
m
icr
o
k
er
n
el
h
as
b
ee
n
i
m
p
le
m
en
ted
t
o
tak
e
ca
r
e
o
f
t
h
e
f
ea
t
u
r
es
n
o
t
i
m
p
le
m
e
n
ted
i
n
h
ar
d
w
ar
e.
T
h
is
s
y
s
te
m
h
as
tick
f
r
eq
u
e
n
c
y
li
m
itatio
n
s
an
d
d
o
es
n
o
t
h
av
e
h
ar
d
w
ar
e
s
u
p
p
o
r
t to
p
r
ev
en
t u
n
b
o
u
n
d
ed
p
r
io
r
ity
i
n
v
er
s
io
n
.
I
n
o
r
d
er
to
m
i
n
i
m
ize
h
ar
d
w
ar
e
co
s
t
w
h
ile
m
a
in
ta
in
i
n
g
ti
m
i
n
g
co
n
s
tr
ain
t
s
,
R
.
G
u
p
ta
et
a
l.
d
ev
elo
p
ed
VUL
C
A
N
[
1
5
]
Har
d
w
ar
e/
So
f
t
w
ar
e
p
ar
titi
o
n
i
n
g
to
o
l,
w
h
ic
h
u
s
e
s
h
eu
r
i
s
tic
g
r
ap
h
p
ar
titi
o
n
in
g
al
g
o
r
ith
m
t
h
at
r
u
n
s
in
p
o
l
y
n
o
m
ia
l
ti
m
e.
T
h
e
o
r
ig
in
al
d
escr
ip
tio
n
w
a
s
in
H
ar
d
w
ar
e
-
C
[
1
6
]
,
w
h
ic
h
is
m
ap
p
ed
to
f
in
e
g
r
ain
e
d
C
o
n
tr
o
l
-
Data
Flo
w
Gr
ap
h
.
Har
d
w
ar
e
s
o
f
t
w
ar
e
co
-
d
esig
n
f
r
a
m
e
w
o
r
k
f
o
r
e
m
b
ed
d
ed
s
y
s
t
e
m
-
C
HI
NOOK
,
p
r
o
p
o
s
ed
b
y
P
.
C
h
o
u
et
a
l.
[
1
7
,
1
8
]
is
an
au
to
m
ated
in
ter
f
ac
e
s
y
n
t
h
esi
s
w
h
ic
h
s
u
p
p
o
r
ts
m
ap
p
in
g
o
f
a
n
e
m
b
ed
d
ed
s
y
s
te
m
m
o
d
el
to
o
n
e
o
r
m
o
r
e
p
r
o
ce
s
s
o
r
an
d
p
er
ip
h
er
als.
T
h
o
u
g
h
m
o
r
e
em
p
h
a
s
is
i
s
p
u
t
o
n
d
is
tr
ib
u
te
d
ar
ch
itectu
r
e
w
h
ic
h
en
s
u
r
in
g
ti
m
i
n
g
co
n
s
tr
ai
n
ts
b
u
t s
y
s
te
m
i
s
i
n
f
le
x
ib
le
a
n
d
m
o
r
e
co
m
p
le
x
.
A
h
eter
o
g
e
n
eo
u
s
h
ar
d
w
ar
e/
s
o
f
t
w
ar
e
DSP
s
y
s
te
m
C
o
W
ar
e
in
[
19
]
p
r
o
p
o
s
ed
b
y
H.
De.
Ma
n
et
a
l.
,
is
b
asis
o
f
co
m
m
er
cial
C
o
W
ar
e
N2
C
[
2
0
]
.
T
h
is
s
y
s
te
m
s
u
p
p
o
r
ts
th
e
r
e
-
u
s
e
a
n
d
en
ca
p
s
u
lati
o
n
o
f
h
ar
d
w
ar
e
a
n
d
s
o
f
t
w
ar
e
b
y
a
c
lear
s
ep
ar
a
tio
n
b
et
w
ee
n
f
u
n
ctio
n
al
a
n
d
co
m
m
u
n
icatio
n
b
eh
a
v
io
r
o
f
a
s
y
s
te
m
co
m
p
o
n
en
t
s
.
T
h
o
u
g
h
th
is
s
y
s
te
m
allo
w
s
co
-
s
p
ec
i
f
icatio
n
u
s
i
n
g
VHD
L
,
D
FL
,
Sli
a
g
e
&
C
la
n
g
u
a
g
es,
b
u
t
i
m
p
o
s
e
s
i
n
cr
ea
s
ed
d
em
a
n
d
s
o
n
g
e
n
er
atio
n
o
f
e
x
h
au
s
ti
v
e
lib
r
ar
y
ele
m
en
ts
.
B
jo
r
n
B
.
B
r
an
d
en
b
u
r
g
et
a
l.
[
2
1
]
d
is
cu
s
s
a
s
o
f
t
r
ea
l
-
ti
m
e
ex
te
n
s
io
n
o
f
t
h
e
L
in
u
x
k
e
r
n
el,
t
h
e
L
I
T
MU
S
RT
p
r
o
j
ec
t
w
i
th
f
o
cu
s
o
n
m
u
ltip
r
o
ce
s
s
o
r
r
ea
l
-
ti
m
e
s
ch
ed
u
li
n
g
a
n
d
s
y
n
c
h
r
o
n
iza
t
io
n
.
I
t
s
u
p
p
o
r
ts
th
e
s
p
o
r
ad
ic
task
m
o
d
el
w
it
h
b
o
th
p
ar
titi
o
n
ed
an
d
g
lo
b
al
s
c
h
ed
u
lin
g
[
2
2
]
.
T
h
e
p
r
im
ar
y
g
o
al
i
s
to
p
r
o
v
id
e
a
u
s
e
f
u
l
ex
p
er
i
m
e
n
tal
p
lat
f
o
r
m
f
o
r
ap
p
lied
r
ea
l
-
ti
m
e
s
y
s
te
m
s
r
e
s
ea
r
ch
b
u
t
L
I
T
MU
S
RT
f
ailed
to
estab
lis
h
a
s
s
tab
le
in
ter
f
ac
e
s
.
F
-
T
i
m
er
f
r
a
m
e
w
o
r
k
s
u
g
g
e
s
te
d
b
y
A
.
P
ar
is
o
to
et
a
l.
[
2
3
]
is
FP
GA
b
ased
task
s
ch
ed
u
ler
ca
p
ab
le
o
f
m
an
a
g
i
n
g
3
2
task
s
w
it
h
6
4
d
i
f
f
er
en
t
p
r
io
r
ities
w
h
ic
h
is
tar
g
eted
at
g
en
er
al
p
u
r
p
o
s
e
p
r
o
c
ess
o
r
.
S
y
s
te
m
d
o
es
n
o
t
h
av
e
a
n
y
h
ar
d
w
ar
e
s
u
p
p
o
r
t
f
o
r
task
s
y
n
ch
r
o
n
izatio
n
an
d
r
eso
u
r
ce
h
an
d
li
n
g
.
P
ap
er
d
o
es
n
o
t
d
is
cu
s
s
ed
ab
o
u
t sch
ed
u
lin
g
al
g
o
r
ith
m
e
m
p
lo
y
ed
.
Sp
r
in
g
k
er
n
e
l
is
b
asica
ll
y
d
e
s
i
g
n
ed
f
o
r
lar
g
e
an
d
co
m
p
le
x
m
u
ltip
r
o
ce
s
s
o
r
b
ased
R
T
OS
p
r
o
p
o
s
ed
b
y
J
.
Stan
k
o
v
ic
et
a
l.
[
2
4
,
2
5
]
tak
es
a
r
ad
icall
y
d
i
f
f
er
e
n
t
ap
p
r
o
ac
h
to
tas
k
s
c
h
ed
u
l
in
g
w
h
ic
h
is
b
ased
o
n
d
y
n
a
m
ic
an
d
s
p
ec
u
lati
v
e
p
lan
n
i
n
g
i
m
p
le
m
e
n
ted
th
r
o
u
g
h
h
eu
r
i
s
tic
al
g
o
r
ith
m
an
d
tr
ee
s
ea
r
ch
.
Fi
n
e
g
r
an
u
lar
it
y
o
f
ta
s
k
d
ea
d
lin
es is
p
o
s
s
ib
le
at
t
h
e
co
s
t o
f
lar
g
e
a
m
o
u
n
t o
f
p
r
e
-
ca
lc
u
l
atio
n
o
v
er
h
ea
d
s
w
h
ic
h
af
f
ec
t
s
th
e
p
er
f
o
r
m
a
n
ce
.
Har
d
w
ar
e
s
c
h
ed
u
li
n
g
ac
ce
ler
ato
r
w
h
ic
h
ca
n
b
e
co
n
f
i
g
u
r
ed
f
o
r
s
ev
er
al
d
if
f
er
en
t
al
g
o
r
ith
m
s
i
s
p
r
o
p
o
s
ed
b
y
J
.
Hild
eb
r
an
d
t
et
a
l
in
[
2
6
,
27]
.
T
h
is
h
ar
d
w
ar
e
i
m
p
le
m
en
tatio
n
o
f
d
y
n
a
m
ic
s
ch
ed
u
li
n
g
co
p
r
o
ce
s
s
o
r
also
s
u
p
p
o
r
ts
ad
v
an
ce
d
E
n
h
a
n
ce
d
L
ea
s
t
L
a
x
it
y
First
(
E
L
L
F)
alg
o
r
it
h
m
.
T
h
is
s
y
s
te
m
co
u
ld
n
o
t
ad
d
r
ess
tr
ash
i
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2
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n
t
r
o
le
i
n
t
h
e
d
e
s
ig
n
o
f
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ea
l
-
ti
m
e
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y
s
te
m
s
w
h
ic
h
in
v
o
lv
e
s
allo
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tio
n
o
f
r
eso
u
r
ce
s
an
d
ti
m
e
to
j
o
b
s
in
s
u
c
h
w
a
y
t
h
at
c
er
tain
p
er
f
o
r
m
a
n
ce
r
eq
u
ir
e
m
e
n
ts
ar
e
m
et.
Mo
s
t
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4864
IJ
R
E
S
Vo
l.
5
,
No
.
1
,
Ma
r
ch
20
1
6
:
5
7
–
68
62
th
e
m
o
d
el
d
is
c
u
s
s
ed
an
d
r
ev
ie
w
ed
ar
e
m
ai
n
l
y
f
o
c
u
s
ed
o
n
to
i
m
p
r
o
v
e
th
e
p
er
f
o
r
m
a
n
ce
b
y
m
i
g
r
atin
g
s
o
m
e
o
f
th
e
h
o
u
s
e
k
ee
p
in
g
r
o
u
t
in
e
j
o
b
s
f
r
o
m
s
o
f
t
w
ar
e
to
h
ar
d
w
ar
e
w
it
h
a
ai
m
to
le
v
er
ag
e
th
e
p
o
ten
tial
o
f
p
ar
alle
l
p
r
o
ce
s
s
in
g
o
f
h
ar
d
w
ar
e
w
h
ic
h
ca
n
f
u
r
th
er
b
e
i
m
p
r
o
v
ed
t
o
a
g
r
ea
ter
ex
ten
t
i
f
m
o
r
e
r
ea
lis
tic
s
c
h
ed
u
l
in
g
alg
o
r
ith
m
i
s
d
ev
is
e
a
n
d
m
i
g
r
ate
it
o
n
h
ar
d
w
ar
e
to
ass
i
s
t
p
r
o
ce
s
s
o
r
an
d
R
T
Os
s
o
as
to
in
cr
ea
s
e
t
h
e
o
v
er
all
p
er
f
o
r
m
a
n
ce
w
it
h
o
u
t in
cr
ea
s
in
g
m
e
m
o
r
y
f
o
o
tp
r
in
t a
n
d
p
o
w
er
co
n
s
u
m
p
tio
n
s
.
4.
H
ARDWA
R
E
SO
F
T
WARE
CO
-
DE
SI
G
N
T
ASK
SCH
D
UL
E
R
Mo
s
t
l
y
r
e
s
ea
r
ch
er
s
d
ea
li
n
g
w
i
th
r
ea
l
-
ti
m
e
s
y
s
te
m
s
c
h
ed
u
l
in
g
,
as
s
u
m
e
s
s
c
h
ed
u
l
in
g
co
n
s
tr
ain
ts
to
b
e
p
r
ec
is
e.
B
u
t
in
p
r
ac
tical
r
ea
lity
,
th
e
v
al
u
e
s
o
f
th
e
s
e
p
ar
am
e
t
er
s
ar
e
v
ag
u
e
i
n
m
o
s
t
o
f
t
h
e
c
ases
.
T
o
o
v
er
co
m
e
th
ese
li
m
i
tatio
n
o
f
v
a
g
u
e
n
es
s
o
f
j
o
b
s
s
ch
ed
u
li
n
g
p
ar
a
m
eter
s
[
5
1
]
,
Fu
zz
y
lo
g
ic
p
la
y
i
m
p
o
r
tan
t
r
o
le
i
n
g
en
er
ati
n
g
m
o
s
t
o
p
ti
m
al
s
c
h
e
d
u
lin
g
w
h
ic
h
e
n
h
a
n
ce
t
h
e
u
ti
lizatio
n
o
f
th
e
r
eso
u
r
ce
s
a
n
d
th
u
s
i
n
cr
ea
s
es
th
e
o
v
er
all
s
ch
ed
u
lab
ilit
y
o
f
th
e
s
y
s
te
m
b
y
tr
e
ati
n
g
th
e
s
e
v
a
g
u
e
s
ch
ed
u
lin
g
p
ar
a
m
eter
s
a
r
e
tr
ea
ted
as
f
u
zz
y
v
ar
iab
les.
I
n
t
h
is
r
e
s
ea
r
ch
p
a
p
er
,
a
t
w
o
p
h
ase
ad
ap
tiv
e
s
ch
ed
u
lin
g
al
g
o
r
ith
m
i
s
d
ev
elo
p
ed
an
d
m
i
g
r
ated
o
n
FP
GA
to
h
ar
n
ess
t
h
e
p
o
ten
tia
l
o
f
p
ar
allel
p
r
o
ce
s
s
in
g
w
h
ic
h
w
ill
co
m
p
e
n
s
ate
ad
d
ed
co
m
p
u
tat
io
n
al
co
s
t
f
o
r
ex
ec
u
t
in
g
o
f
co
m
p
le
x
f
u
zz
y
al
g
o
r
ith
m
s
.
4
.1
Arc
hite
ct
ure
W
e
p
r
o
p
o
s
ed
Fu
zz
y
I
n
f
er
e
n
ce
S
y
s
te
m
(
FIS)
b
a
s
ed
ad
ap
tiv
e
h
ar
d
w
ar
e
tas
k
s
c
h
ed
u
ler
f
r
a
m
e
w
o
r
k
w
h
ic
h
is
d
is
c
u
s
s
ed
in
s
u
b
s
eq
u
en
t p
ar
ag
r
ap
h
b
asicall
y
co
n
s
is
ts
o
f
:
1.
Glo
b
al
Fu
zz
y
s
ch
ed
u
ler
–
L
o
n
g
ter
m
s
c
h
ed
u
ler
.
(
FIS
1
)
2.
L
o
ca
l
A
d
ap
tiv
e
s
c
h
ed
u
ler
–
S
h
o
r
t te
r
m
s
c
h
ed
u
ler
.
(
FIS
I
I
)
B
o
th
o
f
t
h
ese
s
c
h
ed
u
ler
w
o
r
k
in
ca
s
ca
d
e
a
n
d
ar
e
m
ig
r
ated
o
n
h
ar
d
w
ar
e
w
h
ic
h
w
il
l
w
o
r
k
i
n
s
y
n
ch
r
o
n
o
u
s
w
i
th
p
r
o
ce
s
s
o
r
an
d
R
T
Os to
f
u
l
f
il
l th
e
o
v
er
all
s
y
s
te
m
s
o
b
j
ec
tiv
es a
s
ill
u
s
tr
at
ed
in
f
i
g
u
r
e
1
.
Fig
u
r
e
1
.
P
r
o
p
o
s
ed
FIS
b
ased
A
d
ap
tiv
e
Har
d
w
ar
e
T
ask
Sc
h
e
d
u
ler
T
o
b
u
ild
a
f
u
zz
y
s
y
s
te
m
,
in
p
u
ts
an
d
o
u
tp
u
t(
s
)
to
it
m
u
s
t
b
e
f
ir
s
t
s
elec
ted
an
d
p
ar
titi
o
n
ed
in
to
ap
p
r
o
p
r
iate
co
n
ce
p
tu
al
ca
teg
o
r
ies
w
h
i
c
h
ac
t
u
all
y
r
ep
r
esen
t
a
f
u
zz
y
s
et
o
n
a
g
i
v
e
n
in
p
u
t
o
r
o
u
tp
u
t
d
o
m
ai
n
.
P
ar
am
eter
s
w
h
ic
h
a
f
f
ec
ts
th
e
s
ch
ed
u
ler
s
p
er
f
o
r
m
a
n
ce
ar
e
s
elec
ted
as
i
n
p
u
t
to
th
e
F
u
zz
y
I
n
f
er
en
ce
S
y
s
te
m
(
FIS)
[
5
2
,
5
3
]
,
w
h
ic
h
co
n
s
is
t o
f
f
i
v
e
s
tag
e
s
:
1.
Fu
zz
i
f
y
in
g
i
n
p
u
t
s
2.
A
p
p
l
y
in
g
f
u
zz
y
o
p
er
ato
r
s
3.
A
p
p
l
y
in
g
i
m
p
l
icatio
n
m
et
h
o
d
s
4.
Ag
g
r
eg
ati
n
g
o
u
tp
u
t
s
5.
De
-
f
u
zz
i
f
y
i
n
g
o
u
tp
u
t
s
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
R
E
S
I
SS
N:
2088
-
8708
H
W
S
W
C
o
-
d
esig
n
o
f A
d
a
p
tive
Ta
s
k
S
ch
ed
u
ler fo
r
R
ea
l Time
S
ystems
(
D
in
esh
G
Ha
r
ku
t
)
63
Her
e
Ma
d
an
i’
s
Fu
zz
y
i
n
f
er
en
ce
m
et
h
o
d
o
f
T
SK
o
r
s
im
p
l
y
Su
g
en
o
m
et
h
o
d
o
f
f
u
zz
y
i
n
f
er
en
ce
m
a
y
b
e
u
s
ed
[
5
4
-
5
7
]
.
B
lo
ck
d
iag
r
am
s
o
f
FIS
I
a
n
d
FIS
I
I
alo
n
g
w
it
h
t
h
e
p
ar
a
m
eter
s
s
elec
ted
a
s
I
n
p
u
t
a
n
d
O
u
tp
u
t
ar
e
alo
n
g
w
it
h
s
u
r
f
ac
e
v
ie
w
e
r
ar
e
s
h
o
w
n
in
f
i
g
u
r
e
2
.
I
n
p
u
t
to
FIS
I
ar
e
-
J
o
b
E
x
ter
io
r
P
r
io
r
ity
(
J
E
P),
J
o
b
P
r
o
ce
s
s
in
g
P
r
io
r
it
y
(
J
PT)
&
J
o
b
W
aitin
g
T
im
e
(
J
W
T
)
w
h
ic
h
g
e
n
er
ates
J
o
b
Pro
ce
s
s
in
g
P
r
i
o
r
ity
(
J
P
P
)
.
I
n
p
u
t
to
FIS
I
I
ar
e
–
J
o
b
P
r
o
ce
s
s
in
g
P
r
io
r
it
y
(
J
P
P)
g
en
er
ated
b
y
FIS
I
an
d
J
o
b
W
o
r
s
t
C
ase
E
x
ec
u
ti
o
n
T
im
e
(
J
W
C
E
T
)
w
h
ic
h
g
e
n
er
ates J
o
b
Fin
al
P
r
io
r
ity
(
J
FP
)
Ou
tp
u
t
o
f
th
e
FIS
I
is
s
in
g
le
v
alu
e
w
h
ic
h
is
tr
ea
ted
as
J
o
b
Pro
ce
s
s
in
g
P
r
io
r
ity
(
J
PP
)
an
d
m
ai
n
tai
n
ed
in
g
lo
b
al
q
u
eu
e
i
n
s
o
r
ted
o
r
d
er
.
T
h
is
n
e
w
l
y
ca
lc
u
lated
J
P
P
al
o
n
g
w
it
h
tas
k
’
s
w
o
r
s
t
-
c
ase
ex
ec
u
tio
n
t
i
m
e
(
W
C
E
T
)
,
f
ee
d
to
FIS
I
I
,
a
s
ec
o
n
d
s
tag
e
s
c
h
ed
u
ler
.
T
h
e
w
o
r
k
i
n
g
o
f
p
r
o
p
o
s
ed
n
o
v
el
T
w
o
p
h
ase
F
u
zz
y
I
n
f
er
e
n
ce
S
y
s
te
m
b
ased
h
ar
d
war
e
task
s
c
h
ed
u
ler
w
h
ich
u
s
e
s
f
u
zz
y
lo
g
ic
to
m
o
d
el
is
d
e
p
icted
as
–
A
n
ar
r
iv
a
l
o
f
n
e
w
tas
k
i
n
s
y
s
te
m
in
itiate
s
t
h
e
ap
p
licatio
n
.
T
h
ese
n
e
w
tas
k
ar
e
s
to
r
ed
in
A
r
r
iv
a
l
Qu
e
u
e
in
First
-
in
-
First
-
o
u
t
m
a
n
n
er
(
FIFO)
w
aiti
n
g
to
b
e
g
et
p
r
o
ce
s
s
ed
b
y
th
e
Fu
zz
y
I
n
f
er
e
n
ce
S
y
s
te
m
(
P
h
ase
I
)
.
T
ask
en
ter
in
g
th
e
s
y
s
te
m
s
ar
e
tag
g
ed
w
it
h
s
o
m
e
b
as
ic
p
a
r
a
m
eter
s
w
h
ic
h
p
la
y
i
m
p
o
r
tan
t
r
o
le
in
s
c
h
ed
u
li
n
g
th
ese
ta
s
k
.
T
h
ese
j
o
b
s
ar
e
s
to
r
ed
in
s
o
r
ted
o
r
d
er
as
p
er
n
ew
l
y
ca
lc
u
late
J
o
b
P
r
o
ce
s
s
in
g
P
r
io
r
ity
(
J
P
P).
T
ask
q
u
eu
ed
i
n
G
lo
b
al
q
u
eu
e
ar
e
f
e
ed
to
Fu
zz
y
I
n
f
er
e
n
ce
S
y
s
te
m
(
P
h
ase
I
I
)
.
L
o
ca
l
Q
u
e
u
e
h
o
ld
s
t
h
e
ta
s
k
in
s
o
r
ted
o
r
d
er
as p
er
th
e
J
o
b
Fin
al
P
r
io
r
it
y
(
J
FP
)
ca
lcu
lated
b
y
FIS
2
.
Ma
s
ter
co
n
tr
o
ller
k
ee
p
s
tr
ac
k
o
f
ac
tu
al
e
x
ec
u
tio
n
ti
m
e
(
A
E
T
)
o
f
ea
ch
tas
k
b
ein
g
p
r
o
ce
s
s
ed
an
d
if
th
e
d
i
f
f
er
en
c
e
b
et
w
ee
n
W
o
r
s
t
C
ase
E
x
ec
u
t
io
n
T
im
e
(
W
C
E
T
)
an
d
A
E
T
f
o
r
a
task
in
b
ey
o
n
d
ce
r
tain
th
r
esh
o
ld
v
al
u
e
i.e
.
δ
(
t)
,
th
en
is
it
n
o
ti
f
ied
b
ac
k
to
FIS
I
I
w
h
ic
h
w
ill
u
p
d
ate
th
e
v
al
u
e
o
f
W
E
C
T
b
y
AE
T
an
d
co
n
s
id
er
th
is
n
e
w
u
p
d
ated
v
alu
e
o
f
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t
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ask
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e
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Qu
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e
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T
h
ese
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s
ar
e
th
e
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ad
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ed
b
ac
k
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r
r
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al
Qu
e
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e
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e
w
l
y
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ter
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FIFO
o
r
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er
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Fig
u
r
e
2
.
Fu
zz
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n
f
er
e
n
ce
S
y
s
te
m
I
&
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I
b
lo
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d
iag
r
a
m
4
.
1
.
1
Ada
ptiv
e
F
uzzy
Schedu
li
ng
Un
d
er
tr
ad
itio
n
al
task
m
o
d
el
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e
p
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io
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ic,
s
p
o
r
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etc.
,
t
h
e
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ch
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u
lab
ilit
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te
m
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s
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ased
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t
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x
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ti
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ti
m
e
(
W
C
E
T
)
,
w
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d
ef
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th
e
m
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x
i
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m
a
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e
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is
ad
v
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e
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n
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ep
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h
is
d
r
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w
b
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er
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m
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b
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r
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ler
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n
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itio
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to
all
o
ca
te
p
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-
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r
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s
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o
r
s
ti
m
e
s
h
ar
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in
s
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co
n
s
ta
n
t
s
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ar
e
allo
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tio
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b
ased
o
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co
n
s
tan
t
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an
d
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ea
d
j
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g
t
h
e
p
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th
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
0
8
9
-
4864
IJ
R
E
S
Vo
l.
5
,
No
.
1
,
Ma
r
ch
20
1
6
:
5
7
–
68
64
ti
m
e
s
h
ar
e
b
ased
o
n
t
h
e
r
u
n
t
i
m
e
co
n
d
itio
n
s
w
h
ic
h
w
i
ll
e
f
f
ec
tiv
el
y
i
n
cr
ea
s
e
s
t
h
e
o
v
er
all
s
c
h
ed
u
lab
i
lit
y
a
n
d
p
r
o
ce
s
s
o
r
u
tili
za
tio
n
.
Ov
er
all
q
u
alit
y
-
of
-
s
er
v
ice
(
Qo
S)
ca
n
b
e
im
p
r
o
v
ed
b
y
i
g
n
o
r
i
n
g
t
h
e
tr
an
s
ie
n
t
o
v
er
lo
ad
co
n
d
itio
n
s
.
Di
s
p
atch
er
w
ill d
is
p
atch
th
e
ta
s
k
f
r
o
m
lo
ca
l
q
u
e
u
e
to
p
r
o
ce
s
s
o
r
s
b
an
k
to
g
et
s
er
v
e.
Fu
r
t
h
er
r
eso
u
r
ce
s
y
n
c
h
r
o
n
iza
tio
n
i
s
u
s
ed
to
o
p
ti
m
ize
s
c
h
ed
u
lin
g
o
f
t
h
e
tas
k
s
b
lo
ck
ed
o
n
s
h
ar
ed
r
eso
u
r
ce
w
h
ich
ar
e
p
ar
k
ed
o
n
b
lo
ck
ed
o
r
w
ait
in
g
q
u
eu
e.
T
as
k
b
lo
ck
s
o
n
s
h
ar
ed
r
eso
u
r
ce
s
ar
e
s
to
r
ed
in
B
lo
c
k
Qu
e
u
e
ar
e
m
o
v
ed
f
r
o
m
b
lo
ck
q
u
eu
e
to
W
aitin
g
Qu
e
u
e
if
t
h
e
task
is
y
et
to
b
e
co
m
p
lete.
T
h
ese
tas
k
s
ar
e
th
e
n
ad
d
ed
b
ac
k
to
A
r
r
iv
al
Q
u
e
u
e
alo
n
g
w
i
th
n
e
w
l
y
e
n
ter
ed
tas
k
in
FI
FO
o
r
d
er
.
R
eso
u
r
ce
s
y
n
c
h
r
o
n
izatio
n
m
o
d
u
le
w
h
ic
h
i
m
p
le
m
en
ts
p
r
io
r
it
y
q
u
eu
e
w
i
th
ag
in
g
to
av
o
id
t
h
e
t
ask
s
tar
v
atio
n
an
d
th
u
s
i
m
p
r
o
v
e
ch
a
n
ce
o
f
f
air
tr
ea
t
m
e
n
ts
to
all
th
e
tas
k
s
i
n
t
h
e
q
u
eu
e
i
s
u
s
ed
to
r
e
m
o
v
e
th
e
d
ea
d
lo
ck
s
o
n
r
eso
u
r
ce
s
a
m
o
n
g
ta
s
k
f
r
o
m
b
lo
ck
task
q
u
e
u
e
w
h
ic
h
w
ill
i
n
cr
ea
s
e
th
e
o
v
er
all
p
er
f
o
r
m
an
ce
o
f
th
e
R
T
Os.
P
r
o
ce
s
s
o
r
s
s
h
ar
e
allo
ca
tio
n
s
ar
e
ad
j
u
s
ted
u
s
in
g
f
ee
d
b
ac
k
an
d
r
eso
u
r
ce
s
y
n
c
h
r
o
n
izatio
n
tech
n
iq
u
es [
5
8
]
.
Fin
e
g
r
ain
ed
ti
m
e
m
a
n
ag
e
m
e
n
t
a
n
d
f
r
eq
u
e
n
t
s
o
r
ti
n
g
an
d
r
e
-
ar
r
an
g
e
m
e
n
t
s
o
f
ta
s
k
s
i
n
L
o
ca
l
Qu
eu
e
an
d
W
aitin
g
Q
u
e
u
e
i
n
cr
ea
s
es
th
e
C
P
U
o
v
er
h
ea
d
a
n
d
th
u
s
af
f
ec
ts
th
e
p
r
o
ce
s
s
o
r
u
tili
za
t
i
o
n
w
h
ich
ca
n
b
e
o
v
er
co
m
e
b
y
i
m
p
le
m
e
n
ti
n
g
t
h
ese
q
u
eu
e
s
as h
ar
d
w
ar
e
p
r
io
r
ity
q
u
e
u
e
as s
h
o
w
n
i
n
f
ig
u
r
e
3
.
Fig
u
r
e
3
.
Har
d
w
ar
e
P
r
io
r
ity
Q
u
eu
e
ar
c
h
itect
u
r
e
4
.
1
.
2
Q
ue
ue
L
o
a
din
g
P
ro
ce
s
s
Qu
e
u
e
lo
ad
in
g
i
s
ac
co
m
p
lis
h
ed
b
y
i
n
s
er
ti
n
g
t
h
e
n
e
w
l
y
ar
r
iv
ed
tas
k
at
t
h
e
b
o
tto
m
o
f
b
i
n
ar
y
h
ea
p
.
P
r
o
ce
s
s
o
f
r
ep
ea
ted
ly
co
m
p
ar
in
g
an
d
s
w
ap
p
in
g
w
it
h
ad
j
ac
en
t
p
ar
en
t
n
o
d
e
is
p
er
f
o
r
m
ed
u
n
til
t
h
e
p
r
io
r
it
y
o
f
n
e
w
l
y
ar
r
iv
ed
tas
k
i
s
less
t
h
an
it
s
p
ar
en
ts
.
Sh
i
f
t
r
eg
i
s
ter
m
ec
h
a
n
i
s
m
s
h
o
w
n
i
n
f
i
g
u
r
e
4
in
s
er
t
s
t
h
e
n
e
w
l
y
ar
r
iv
ed
task
i
n
co
n
s
t
a
n
t ti
m
e.
T
h
e
h
ea
p
p
r
o
p
er
ty
en
s
u
r
e
s
th
a
t e
le
m
e
n
ts
ar
e
s
o
r
ted
in
o
r
d
er
.
4
.
1
.
3
Q
ue
ue
Un
-
lo
a
din
g
P
ro
ce
s
s
R
e
m
o
v
e
th
e
r
o
o
t
task
f
r
o
m
t
h
e
q
u
eu
e
an
d
r
ec
o
n
s
tr
u
ctio
n
o
f
th
e
h
ea
p
co
n
s
tit
u
ted
th
e
q
u
eu
e
u
n
-
lo
ad
in
g
o
p
er
atio
n
.
R
o
o
t
ele
m
en
t
i
s
r
e
m
o
v
ed
b
y
r
ep
laci
n
g
i
t
w
it
h
t
h
e
las
t
ele
m
e
n
t
i
n
t
h
e
q
u
eu
e
to
k
ee
p
t
h
e
h
ea
p
b
alan
ce
d
.
P
r
o
ce
s
s
o
f
r
ep
ea
ted
ly
co
m
p
ar
i
n
g
a
n
d
s
w
a
p
p
in
g
w
it
h
s
m
allest
o
f
th
e
ch
ild
n
o
d
e
is
p
er
f
o
r
m
u
n
t
il
t
h
e
p
r
io
r
it
y
r
o
o
t
n
o
d
e
is
less
t
h
an
its
ch
ild
.
Hi
g
h
e
s
t
p
r
io
r
ity
v
al
u
e
is
o
b
tai
n
ed
i
n
co
n
s
ta
n
t
ti
m
e
a
n
d
as
p
r
io
r
ity
q
u
e
u
e
is
m
a
n
ag
ed
i
n
h
ar
d
w
ar
e,
th
e
p
r
o
ce
s
s
o
r
is
n
o
t r
eq
u
ir
ed
to
w
ait
f
o
r
t
h
e
o
p
er
atio
n
to
co
m
p
lete.
4
.
1
.
4
Reso
urce
Sy
nchro
niza
t
io
n P
ro
ce
s
s
T
ask
w
h
ic
h
ar
e
b
lo
c
k
ed
o
n
s
h
ar
ed
r
ec
o
u
r
s
es
ar
e
p
ar
k
o
n
b
lo
ck
ed
q
u
eu
e
w
h
ich
is
i
m
p
l
e
m
en
ted
as
h
ar
d
w
ar
e
p
r
io
r
it
y
q
u
e
u
e.
T
o
a
v
o
id
th
e
tas
k
s
tar
v
atio
n
an
d
f
air
s
h
ar
e
o
f
C
P
U
ti
m
e,
P
r
io
r
ity
q
u
e
u
e
w
it
h
ag
i
n
g
tech
n
iq
u
e
i
s
u
s
ed
.
T
ask
u
p
lo
ad
p
r
io
r
ity
i
s
ca
lc
u
lated
,
w
h
ich
w
ill
u
s
ed
to
d
ec
id
e
w
h
ich
tas
k
n
ex
t
to
b
e
m
o
v
ed
f
r
o
m
b
lo
ck
ed
q
u
eu
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Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
R
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N:
2088
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ase
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ase
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ase
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r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
0
8
9
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4864
IJ
R
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Vo
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5
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1
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66
v
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e
a
n
d
t
h
u
s
i
n
cr
ea
s
es
th
e
o
v
er
all
p
r
o
ce
s
s
o
r
u
tili
za
t
io
n
an
d
t
h
u
s
th
e
s
c
h
e
d
u
lab
ilit
y
.
F
u
r
t
h
er
,
Star
v
atio
n
o
f
lo
w
p
r
io
r
it
y
ta
s
k
p
r
o
b
le
m
is
o
v
er
co
m
e
b
y
R
eso
u
r
ce
s
y
n
c
h
r
o
n
izatio
n
m
o
d
u
le
w
h
ich
in
t
u
r
n
s
a
v
o
id
s
th
e
ag
i
n
g
o
f
ta
s
k
.
B
ec
a
u
s
e
o
f
h
ig
h
g
r
an
u
lar
it
y
,
f
r
eq
u
en
t
s
o
r
tin
g
an
d
u
p
d
atio
n
o
f
th
e
task
s
in
q
u
e
u
e
in
cr
ea
s
es
th
e
o
v
er
h
ea
d
w
h
ic
h
ca
n
b
e
r
ed
u
ce
d
to
g
r
ea
ter
ex
ten
t
b
y
u
s
i
n
g
Har
d
w
ar
e
P
r
io
r
ity
Q
u
eu
e
to
s
to
r
e
th
e
task
w
h
ic
h
in
cr
ea
s
e
t
h
e
s
o
r
tin
g
s
p
ee
d
an
d
th
u
s
les
s
en
th
e
b
u
r
d
en
o
f
C
P
U.
T
h
is
in
cr
e
ases
t
h
e
o
v
er
all
u
t
ilizatio
n
o
f
C
P
U
an
d
in
cr
ea
s
e
s
th
e
s
c
h
ed
u
lab
ilit
y
o
f
t
h
e
tas
k
s
.
Ou
r
f
u
t
u
r
e
w
o
r
k
i
s
to
m
ap
th
is
p
r
o
p
o
s
ed
m
o
d
el
o
n
Mic
r
o
B
laze
s
o
f
t
p
r
o
ce
s
s
o
r
co
r
e
as
Mic
r
o
B
laze
FP
GA
d
es
ig
n
s
ar
e
r
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d
il
y
a
v
ailab
le
a
n
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ca
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i
m
p
le
m
en
ted
w
it
h
li
ttle
e
f
f
o
r
t.
T
h
e
Fre
eRT
OS
p
o
r
t
in
Mic
r
o
B
laze
is
b
ein
g
tar
g
eted
t
o
b
e
m
o
d
if
ied
an
d
r
u
n
ta
s
k
s
c
o
n
cu
r
r
en
tl
y
o
n
m
u
ltip
le
p
r
o
ce
s
s
o
r
s
a
s
Fre
e
R
T
OS
p
r
o
v
id
es
s
i
m
p
le,
ea
s
y
to
u
s
e
an
d
h
i
g
h
l
y
p
o
r
tab
le
k
er
n
el.
T
h
e
ai
m
to
p
r
o
d
u
ce
a
v
er
s
io
n
o
f
Fre
eRT
OS
t
h
at
s
u
p
p
o
r
ts
m
u
lti
-
co
r
e
h
ar
d
w
ar
e
a
n
d
ef
f
icie
n
t h
ar
d
w
ar
e
b
ased
task
s
c
h
ed
u
ler
RE
F
E
R
E
NC
E
S
[1
]
D.
S
tew
a
rt,
“
In
tro
d
u
c
ti
o
n
t
o
Re
a
l
T
i
m
e
”
,
Em
b
e
d
d
e
d
sy
st
e
m
s p
ro
g
ra
m
m
in
g
,
CM
P
M
e
d
ia,
No
v
e
m
b
e
r
2
0
0
1
.
[2
]
Z.
De
n
g
,
J.W
.
L
iu
a
n
d
S
.
S
u
n
,
“
D
y
n
a
m
ic
sc
h
e
d
u
li
n
g
o
f
h
a
rd
re
a
l
-
ti
m
e
a
p
p
li
c
a
ti
o
n
in
o
p
e
n
sy
ste
m
e
n
v
iro
n
m
e
n
t”,
T
e
c
h
.
Re
p
.
,
Un
iv
e
rsity
o
f
Ill
in
o
is
a
t
Urb
a
n
a
-
Ch
a
m
p
a
ig
n
1
9
9
6
.
[3
]
G
.
Bu
tt
a
z
z
o
a
n
d
J.
A
.
S
tan
k
o
v
ie
,
“
RED:
ro
b
u
st
e
a
rli
e
st
d
e
a
d
li
n
e
sc
h
e
d
u
li
n
g
”
,
in
P
r
o
c
e
e
d
in
g
o
f
3
rd
In
tern
a
ti
o
n
a
l
W
o
rk
sh
o
p
Re
sp
o
n
siv
e
Co
m
p
u
ti
n
g
S
y
ste
m
s,
L
in
c
o
ln
,
NH
,
p
p
.
1
0
0
-
1
1
1
,
1
9
9
3
.
[4
]
S
.
M
.
P
e
tt
e
rs,
“
Bo
u
n
d
i
n
g
t
h
e
e
x
e
c
u
ti
o
n
ti
me
o
f
re
a
l
-
ti
me
ta
sk
o
n
mo
d
e
rn
p
r
o
c
e
ss
o
rs
”
,
in
P
r
o
c
e
e
d
in
g
o
f
7
th
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
Re
a
l
-
T
ime
Co
m
p
u
ti
n
g
S
y
ste
m
s an
d
A
p
p
li
c
a
ti
o
n
s,
Ch
e
j
u
Isla
n
d
,
p
p
.
4
9
8
-
5
0
2
,
2
0
0
0
.
[5
]
J.
Zh
u
,
T
.
G
.
L
e
w
i
s,
W
.
J
a
c
k
so
n
a
n
d
R.
L
.
W
il
so
n
,
“
S
c
h
e
d
u
li
n
g
in
h
a
rd
re
a
l
-
ti
m
e
a
p
p
li
c
a
ti
o
n
s”
,
IEE
E
so
ft
w
a
re
,
V
o
l
u
m
e
1
2
,
p
p
.
5
4
-
6
3
,
1
9
9
5
.
[6
]
D.
G
.
Ha
rk
u
t
&
M
.
S
.
A
li
,
“
Ha
rd
w
a
re
S
u
p
p
o
rt
f
o
r
Rea
l
T
ime
Op
e
ra
ti
n
g
S
y
ste
m:
A
Rev
iew
”
,
i
n
P
r
o
c
e
e
d
in
g
s
o
f
IEE
E
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
E
n
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
lo
g
y
(ICET
E
CH’1
5
),
2
0
1
5
.
[7
]
L
.
L
in
d
h
,
F
.
S
tan
isc
h
e
w
sk
i,
“
FA
S
T
CHART
-
Per
fo
rm
a
n
c
e
,
Be
n
e
fi
ts
a
n
d
Disa
d
v
a
n
t
a
g
e
s
o
f
th
e
Ar
c
h
it
e
c
tu
re
”
,
in
P
r
o
c
e
e
d
in
g
o
f
5
th
Eu
r
o
m
icro
W
o
rk
sh
o
p
o
n
Re
a
l
-
T
im
e
S
y
ste
m
s
,
1
9
9
3
.
[8
]
F
.
Ba
larin
,
M
.
C
h
io
d
o
,
P
.
G
iu
sto
,
H.
Hs
ieh
,
A
.
Ju
re
c
sk
a
,
L
.
L
a
v
a
g
n
o
,
C.
P
a
ss
e
ro
n
e
,
K.
S
u
z
u
k
i
a
n
d
B.
T
a
b
b
a
ra
.
“
Ha
rd
wa
re
-
S
o
f
t
w
a
r
e
Co
-
De
sig
n
o
f
Em
b
e
d
d
e
d
S
y
ste
m
s:
T
h
e
P
OL
IS
A
p
p
ro
a
c
h
”
,
Klu
w
e
r
A
c
a
d
e
m
ic
P
u
b
li
s
h
e
rs,
1
9
9
7
.
[9
]
J.T
.
Bu
c
k
,
S
.
H
a
,
E.
A
.
Lee
a
n
d
D.G
.
M
e
ss
e
rs
c
h
m
it
t,
“
P
to
lem
y
:
A
F
ra
m
e
w
o
r
k
f
o
r
S
i
m
u
latin
g
a
n
d
P
ro
to
ty
p
in
g
H
e
tero
g
e
n
e
o
u
s
S
y
ste
m
s
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
ter
S
i
mu
la
ti
o
n
,
sp
e
c
ial
issu
e
o
n
“
S
i
m
u
latio
n
S
o
f
tw
a
r
e
De
v
e
lo
p
m
e
n
t”,
p
p
.
1
5
5
-
1
8
2
,
A
p
ril
1
9
9
4
.
[1
0
]
L
.
L
in
d
h
,
“
FA
S
T
HA
RD
-
a
fa
st
ti
me
d
e
ter
min
isti
c
h
a
rd
wa
re
b
a
se
d
re
a
l
-
ti
me
k
e
rn
e
l
”
,
in
P
ro
c
e
e
d
in
g
s
o
f
Re
a
l
-
T
i
m
e
S
y
st
e
m
s,
4
th
Eu
ro
m
icro
w
o
rk
sh
o
p
,
p
p
.
2
1
-
2
5
,
J
u
n
e
1
9
9
2
.
[1
1
]
R
Ern
st,
J.
He
n
k
e
l,
T
h
.
Be
n
n
e
r,
W
.
Ye
,
U.
Ho
lt
m
a
n
n
,
D He
rr
m
a
n
a
n
d
M
.
T
ra
w
n
y
,
“
T
h
e
COSYM
A
e
n
v
iro
n
m
e
n
t
f
o
r
h
a
rd
w
a
re
so
f
t
wa
re
c
o
-
s
y
n
th
e
sis o
f
s
m
a
ll
e
m
b
e
d
d
e
d
sy
ste
m
s”
,
IEE
E
M
icr
o
,
p
p
.
1
5
9
-
1
6
6
,
1
9
9
6
.
[1
2
]
J.
A
d
o
m
a
t,
J.
F
u
ru
n
a
s,
L
.
L
in
d
h
,
a
n
d
J.
S
tarn
e
r,
“
Rea
l
-
t
ime
k
e
rn
e
l
in
h
a
r
d
wa
re
RT
U:
a
ste
p
t
o
wa
r
d
s
d
e
ter
min
isti
c
a
n
d
h
i
g
h
-
p
e
rfo
rm
a
n
c
e
re
a
l
-
ti
me
sy
ste
ms
”
,
in
P
r
o
c
e
e
d
in
g
s
o
f
th
e
8
th
Eu
ro
m
icro
W
o
rk
sh
o
p
o
n
Re
a
l
-
T
i
m
e
S
y
ste
m
s
,
L
'
A
q
u
il
a
,
p
p
.
1
6
4
-
1
6
8
,
Ju
n
.
1
9
9
6
.
[1
3
]
L
.
L
in
d
h
,
T
.
Kle
v
in
,
L
.
L
.
T
.
Kle
v
in
,
a
n
d
J.
F
u
ru
n
ä
s,
“
S
c
a
lab
le arc
h
it
e
c
tu
re
f
o
r
re
a
l
-
ti
m
e
a
p
p
li
c
a
ti
o
n
s sa
ra
”
,
in
C
AD
&
CG
’9
9
,
p
p
.
2
0
8
-
2
1
1
,
1
9
9
9
.
[1
4
]
T
.
Na
k
a
n
o
,
A
.
Uta
m
a
,
M
.
Itab
a
s
h
i,
A
.
S
h
io
m
i
a
n
d
M
.
Im
a
i,
“
Ha
rd
wa
re
imp
lem
e
n
ta
t
io
n
o
f
a
re
a
l
-
ti
me
o
p
e
ra
ti
n
g
sy
ste
m”
,
in
p
ro
c
e
e
d
i
n
g
o
f
IEE
E
In
tern
a
ti
o
n
a
l
S
y
m
p
o
siu
m
o
f
1
2
th
T
RON
p
ro
jec
t,
T
o
k
o
y
,
Ja
p
a
n
,
p
p
.
3
4
-
4
2
,
No
v
.
1
9
9
5
.
[1
5
]
R.
G
u
p
ta.
“
Co
-
S
y
n
th
e
sis
o
f
H
a
r
d
w
a
re
a
n
d
S
o
f
tw
a
r
e
f
o
r
Dig
it
a
l
Em
b
e
d
d
e
d
S
y
ste
m
s”
,
th
e
S
p
rin
g
e
r
In
tern
a
ti
o
n
a
l
S
e
ries
in
E
n
g
in
e
e
rin
g
a
n
d
C
o
m
p
u
ter S
c
ien
c
e
,
Vo
l
u
m
e
3
2
9
,
1
9
9
5
.
[1
6
]
D.C.
Ku
a
n
d
G
.
De
M
ich
e
li
,
“
Ha
rd
w
a
re
C
-
a
lan
g
u
a
g
e
f
o
r
h
a
rd
w
a
re
d
e
sig
n
V
e
r
2
.
0
”
C
S
L
T
e
c
h
n
ic
a
l
Re
p
o
rt
CS
L
-
TR
-
90
-
4
1
9
,
S
tan
f
o
rd
,
A
p
ril
1
9
9
0
.
[1
7
]
P
.
Ch
o
u
,
R.
Orte
g
a
a
n
d
G
.
Bo
rr
i
e
ll
o
,
“
T
h
e
C
h
i
n
o
o
k
Ha
rd
w
a
re
S
o
ft
wa
re
Co
-
S
y
n
t
h
e
sis
S
y
ste
m”,
i
n
P
r
o
c
e
e
d
in
g
s
o
f
th
e
In
ter
n
a
ti
o
n
a
l
S
y
m
p
h
o
siu
m
o
n
S
y
st
e
m
S
y
n
th
e
sis,
p
p
.
2
2
-
2
7
,
S
e
p
t
.
1
9
9
5
.
[1
8
]
P
.
Ch
o
u
,
E.
W
a
lk
u
p
a
n
d
G
.
Bo
rriello
.
“
S
c
h
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