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13
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a
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d
a
c
c
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g
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o
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ir
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se
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n
a
d
d
it
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fe
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stig
a
ti
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s
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ti
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ize
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with
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ters
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m
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k
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ize
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ler
(TAM
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t
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t
g
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a
ra
n
tee
s
re
q
u
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n
ts
a
c
ro
ss
th
e
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k
lev
e
ls
o
f
sc
ien
ti
fi
c
wo
rk
flo
ws
.
T
h
e
e
n
e
rg
y
a
n
d
t
ime
re
q
u
ired
to
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ifi
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sin
g
t
h
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stra
teg
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.
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TAM
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m
e
wo
rk
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s
stu
d
ied
u
si
n
g
t
h
e
sc
ien
ti
fic
wo
rk
fl
o
ws
n
a
m
e
ly
,
i
n
sp
iral
a
n
d
sip
h
t
.
W
h
e
n
c
o
m
p
a
re
d
to
th
e
c
o
n
v
e
n
t
io
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m
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sc
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li
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wo
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k
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u
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th
o
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o
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o
g
y
u
se
d
les
s
e
n
e
rg
y
a
n
d
m
a
k
e
sp
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n
.
K
ey
w
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r
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s
:
C
lo
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co
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p
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tin
g
E
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Ma
p
R
ed
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ce
Qu
ality
o
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v
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Scien
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w
o
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k
f
lo
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T
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is i
s
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p
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n
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c
c
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ss
a
rticle
u
n
d
e
r th
e
CC B
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-
SA
li
c
e
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se
.
C
o
r
r
e
s
p
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A
uth
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r
:
Far
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a
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Dep
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o
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Scie
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KB
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Un
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Kala
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ail: f
ar
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_
1
2
@
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ed
if
f
m
ail.
co
m
1.
I
NT
RO
D
UCT
I
O
N
Par
allel
s
cien
tific
wo
r
k
f
lo
w
task
s
ar
e
ex
ten
s
iv
ely
em
p
lo
y
ed
in
b
o
t
h
s
cien
tific
an
d
b
u
s
in
ess
in
v
esti
g
atio
n
s
[
1
]
.
Sev
er
al
in
s
tan
ce
s
o
f
wo
r
k
lo
a
d
s
in
v
ar
io
u
s
s
cien
tific
f
ield
s
ca
n
b
e
o
b
s
er
v
ed
.
T
h
ese
in
v
o
lv
e
astro
p
h
y
s
ics
wo
r
k
lo
a
d
s
s
u
ch
a
s
Mo
n
tag
e
a
n
d
L
ig
o
,
wh
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f
o
cu
s
o
n
astro
n
o
m
ical
d
ata
an
al
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s
is
.
Ad
d
itio
n
ally
,
th
er
e
is
a
tr
em
o
r
id
e
n
tific
atio
n
wo
r
k
lo
a
d
ca
lled
C
y
b
er
Sh
ak
e,
wh
ich
aim
s
t
o
id
e
n
tify
s
eismic
ac
tiv
ities
.
Fu
r
th
er
m
o
r
e
,
d
eo
x
y
r
ib
o
n
u
clei
c
ac
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(
DNA
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s
eq
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cin
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wo
r
k
lo
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lik
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ig
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n
o
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ics
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ip
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t
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p
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ed
f
o
r
s
tu
d
y
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g
g
e
n
etic
in
f
o
r
m
at
io
n
.
T
h
ese
wo
r
k
lo
ad
s
h
av
e
b
ee
n
id
en
tifie
d
in
p
r
ev
io
u
s
r
esear
ch
[
2
]
.
Mu
ltip
le
s
cien
tific
wo
r
k
lo
ad
s
ar
e
co
m
m
o
n
ly
u
tili
ze
d
f
o
r
a
m
u
lti
tu
d
e
o
f
r
ea
s
o
n
s
.
T
h
e
e
x
ec
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t
io
n
o
f
s
cien
tific
ally
ch
allen
g
in
g
wo
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k
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ad
s
is
o
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s
er
v
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ac
r
o
s
s
v
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u
s
p
latf
o
r
m
s
,
in
clu
d
in
g
Ma
p
R
ed
u
ce
[
3
]
a
n
d
Am
az
o
n
E
C
2
[
4
]
.
Platfo
r
m
s
lik
e
Ma
p
R
ed
u
ce
[
5
]
as
s
h
o
wn
in
Fig
u
r
e
1
,
ar
e
n
o
t
ef
f
icien
t
f
o
r
ex
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u
tio
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co
m
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lex
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lo
w
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av
in
g
m
u
ltip
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.
On
th
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o
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-
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ased
p
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
2
5
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8
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I
n
t J Ar
tif
I
n
tell
,
Vo
l.
13
,
No
.
4
,
Dec
em
b
er
2
0
2
4
:
3
8
4
9
-
3
8
5
7
3850
r
eq
u
ir
em
e
n
ts
o
f
s
cien
tific
d
em
an
d
in
g
wo
r
k
lo
ad
s
[
6
]
.
I
n
c
o
n
tem
p
o
r
ar
y
tim
es,
v
ar
io
u
s
s
cien
tific
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s
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ch
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io
lo
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y
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a
n
d
astro
p
h
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ics,
h
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n
cr
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ly
lev
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to
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im
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late
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d
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aly
ze
s
o
p
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ticated
s
cien
tific
-
wo
r
k
lo
ad
s
.
T
h
is
u
tili
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tio
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o
f
clo
u
d
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b
ased
p
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allel
co
m
p
u
tatio
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s
y
s
tem
s
en
ab
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r
esear
ch
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ev
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ap
p
r
o
ac
h
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f
o
r
r
ea
l
-
ti
m
e
ch
allen
g
es
[
7
]
.
T
h
e
r
ef
o
r
e
,
it
is
ev
id
en
t
th
at
s
cien
tific
co
m
p
licated
task
s
ar
e
ef
f
ec
tiv
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p
e
r
f
o
r
m
ed
o
n
clo
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b
ased
p
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allel
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m
p
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tatio
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s
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s
tem
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,
wh
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th
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ev
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co
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d
u
cted
u
tili
zin
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co
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p
u
tatio
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al
t
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o
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o
f
f
er
e
d
b
y
th
e
clo
u
d
in
f
r
a
s
tr
u
ctu
r
e.
Fig
u
r
e
1
.
Stan
d
a
r
d
h
a
d
o
o
p
b
as
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co
m
p
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tatio
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al
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latf
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r
m
Fig
u
r
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2
.
C
lo
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d
-
b
ased
co
m
p
u
t
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n
al
p
latf
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r
m
f
o
r
ex
ec
u
tio
n
o
f
s
cien
tific
wo
r
k
f
l
o
w
with
m
u
lti
-
lev
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d
ep
en
d
e
n
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Mo
r
eo
v
er
,
it
h
as
b
ee
n
o
b
s
er
v
ed
th
at
th
e
im
p
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tatio
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o
f
s
cien
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ally
co
m
p
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tas
k
s
in
clo
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s
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n
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f
ican
t
r
ed
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ctio
n
i
n
b
o
th
e
x
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tio
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s
t
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e
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as
h
ig
h
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ted
in
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v
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s
r
esear
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[
7
]
.
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h
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in
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icate
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at
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o
f
task
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n
g
task
s
,
wh
ile
th
e
ed
g
es
o
f
th
e
DAG
d
elin
ea
te
th
e
s
p
ec
if
ic
task
s
th
em
s
elv
es.
T
h
r
o
u
g
h
th
e
im
p
lem
en
tatio
n
o
f
th
is
p
r
o
ce
s
s
,
it
i
s
an
ticip
ated
th
at
th
e
wo
r
k
lo
ad
ca
n
b
e
ef
f
ec
tiv
el
y
an
d
ef
f
icien
tly
ca
r
r
ied
Evaluation Warning : The document was created with Spire.PDF for Python.
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-
8
9
3
8
A
mu
lti
-
co
r
e
ma
ke
s
p
a
n
mo
d
el
fo
r
p
a
r
a
llel scien
tifi
c
w
o
r
kflo
w
ex
ec
u
tio
n
in
clo
u
d
… (
F
a
r
h
a
N
a
a
z
)
3851
o
u
t
with
in
t
h
e
d
esig
n
ated
d
ea
d
lin
es.
T
h
is
im
p
lies
th
at
th
e
t
ask
s
ar
e
g
o
i
n
g
t
o
b
e
ca
r
r
ie
d
o
u
t
in
a
s
eq
u
e
n
tial
m
an
n
er
,
ad
h
er
in
g
to
th
eir
p
r
e
d
eter
m
in
ed
o
r
d
er
[
8
]
.
Fu
r
t
h
er
m
o
r
e,
th
e
i
n
tr
icate
in
ter
d
ep
en
d
en
cies
am
o
n
g
th
e
d
if
f
er
en
t
task
s
p
o
s
e
a
s
ig
n
if
ican
t
ch
allen
g
e
wh
en
it
c
o
m
es
to
ef
f
ec
tiv
ely
m
an
ag
i
n
g
an
d
allo
ca
tin
g
th
e
wo
r
k
lo
ad
with
in
a
clo
u
d
co
m
p
u
tin
g
en
v
ir
o
n
m
e
n
t.
I
n
r
ec
en
t
y
ea
r
s
,
m
o
r
e
an
d
m
o
r
e
p
eo
p
le
h
av
e
s
tar
ted
u
s
in
g
c
lo
u
d
s
er
v
ices
f
o
r
th
eir
v
ar
io
u
s
s
o
f
twar
e
n
ee
d
s
.
As
a
r
esu
lt,
a
s
ig
n
if
ican
t
n
u
m
b
e
r
o
f
r
esear
ch
er
s
h
a
v
e
o
p
ted
to
u
tili
ze
clo
u
d
s
er
v
ices
as
a
m
ea
n
s
to
ef
f
icien
tly
m
a
n
ag
e
a
n
d
allo
ca
te
th
eir
wo
r
k
lo
ad
[
9
]
.
T
h
e
p
r
o
v
id
e
d
d
ia
g
r
am
,
Fig
u
r
e
2
,
illu
s
tr
ates
a
s
tr
aig
h
tf
o
r
war
d
a
r
ch
itectu
r
al
r
ep
r
esen
tatio
n
o
f
th
e
wo
r
k
lo
ad
-
s
ch
ed
u
lin
g
p
r
o
ce
s
s
with
in
a
clo
u
d
en
v
ir
o
n
m
en
t.
Desig
n
in
g
an
ef
f
ec
tiv
e
wo
r
k
lo
ad
-
s
ch
ed
u
lin
g
ap
p
r
o
ac
h
n
ec
ess
itate
s
a
th
o
r
o
u
g
h
ex
am
in
atio
n
o
f
cu
r
r
en
t
s
y
s
tem
s
,
a
p
r
o
ce
s
s
th
at
in
tu
r
n
p
o
s
es
m
u
ltip
le
d
if
f
icu
lties
.
No
tab
ly
,
ca
r
r
y
in
g
o
u
t
o
f
m
o
r
e
co
m
p
licated
an
d
b
ig
g
er
s
cien
tific
-
wo
r
k
lo
a
d
s
d
em
an
d
s
in
cr
ea
s
ed
ex
ec
u
tio
n
-
t
im
e
an
d
in
cu
r
s
h
ig
h
er
co
s
ts
.
T
h
e
ex
ec
u
tio
n
o
f
task
s
with
in
a
s
p
ec
if
ied
d
ea
d
lin
e
p
r
esen
ts
an
in
cr
ea
s
ed
le
v
el
o
f
d
if
f
ic
u
lty
.
Nu
m
er
o
u
s
in
v
esti
g
atio
n
s
wer
e
co
n
d
u
cte
d
b
y
s
ch
o
lar
s
f
r
o
m
v
ar
io
u
s
in
s
titu
tio
n
s
,
f
o
cu
s
in
g
o
n
th
e
d
ev
elo
p
m
en
t
o
f
al
g
o
r
ith
m
s
b
ased
o
n
h
eu
r
is
tics
.
T
h
ese
alg
o
r
ith
m
s
aim
to
o
f
f
er
o
p
tim
al
s
o
lu
tio
n
s
f
o
r
a
wid
e
r
an
g
e
o
f
is
s
u
es.
Mo
r
eo
v
er
,
it
h
as
b
ee
n
o
b
s
er
v
ed
th
at
t
h
e
af
o
r
em
e
n
tio
n
ed
h
eu
r
is
tic
alg
o
r
ith
m
s
e
x
h
ib
it
a
lac
k
o
f
tim
e
ef
f
icien
c
y
.
C
o
n
s
eq
u
e
n
tly
,
a
s
ig
n
if
ican
t
n
u
m
b
er
o
f
s
ch
o
lar
s
h
av
e
e
n
co
u
n
ter
ed
c
h
allen
g
e
s
in
attain
in
g
th
e
b
est
p
o
s
s
ib
le
o
u
tco
m
e,
r
esu
ltin
g
in
ad
v
er
s
e
im
p
ac
ts
o
n
s
er
v
ice
lev
el
ag
r
ee
m
en
t
(
SLA)
co
m
p
l
ian
ce
an
d
q
u
ality
of
s
er
v
ice
(
Qo
S).
Fu
r
th
er
m
o
r
e
,
it
h
as
b
ee
n
estab
lis
h
ed
in
th
e
liter
atu
r
e
th
at
th
e
allo
ca
tio
n
o
f
wo
r
k
lo
ad
is
class
if
ie
d
as
an
NP
-
h
ar
d
(
n
o
n
-
d
eter
m
in
is
tic
p
o
ly
n
o
m
ial
-
tim
e)
p
r
o
b
lem
[
1
0
]
.
I
n
d
ee
d
,
t
h
e
o
p
tim
izatio
n
o
f
b
o
t
h
co
s
t
an
d
tim
e
p
r
esen
ts
a
f
o
r
m
id
a
b
le
ch
allen
g
e
with
in
th
e
d
o
m
ai
n
o
f
wo
r
k
lo
a
d
-
s
c
h
ed
u
lin
g
[
1
1
]
.
I
n
th
e
c
o
n
te
x
t
o
f
a
s
ch
e
d
u
lin
g
ap
p
r
o
ac
h
,
it
is
o
b
s
er
v
ed
th
at
wh
en
th
e
o
b
jectiv
e
is
to
m
in
i
m
ize
co
s
ts
,
th
er
e
i
s
an
as
s
o
ci
ated
r
is
e
in
th
e
tim
e
n
ec
ess
ar
y
f
o
r
f
in
is
h
in
g
a
s
p
e
cif
ic
task
.
T
h
e
in
ter
d
ep
e
n
d
en
ce
o
f
tim
e
an
d
c
o
s
t
is
a
s
ig
n
if
ican
t
co
n
tr
ib
u
ti
n
g
f
ac
to
r
to
th
e
o
b
s
er
v
ed
p
h
en
o
m
en
o
n
.
T
h
e
lack
o
f
co
n
s
id
er
atio
n
f
o
r
v
ir
tu
al
m
ac
h
in
e
(
V
M)
d
ec
is
io
n
-
m
ak
in
g
p
r
o
ce
d
u
r
es
in
cu
r
r
en
t
ap
p
r
o
ac
h
es
d
u
r
in
g
s
ch
ed
u
le
cr
ea
tio
n
h
as
r
esu
lted
in
an
o
n
g
o
in
g
is
s
u
e
o
f
m
ak
e
-
s
p
an
an
d
co
s
t [
1
2
]
,
[
1
3
]
.
T
o
ef
f
ec
tiv
ely
tack
le
th
e
is
s
u
e
,
th
is
r
esear
ch
in
tr
o
d
u
ce
s
an
i
n
n
o
v
ativ
e
a
p
p
r
o
ac
h
k
n
o
wn
as
t
ask
awa
r
e
m
ak
esp
an
o
p
tim
ize
d
s
ch
ed
u
le
r
(
T
AM
OS)
u
n
d
er
m
u
lti
-
co
r
e
p
latf
o
r
m
,
wh
ic
h
aim
s
to
en
s
u
r
e
SLA
co
m
p
lian
ce
at
th
e
task
lev
els.
T
h
e
T
MO
S
is
d
esig
n
ed
in
s
u
ch
a
way
it
r
e
d
u
ce
s
m
ak
esp
an
le
v
er
ag
in
g
m
u
lti
-
co
r
e
ex
ec
u
tio
n
an
d
th
e
r
eb
y
u
tili
zin
g
s
y
s
tem
r
eso
u
r
ce
i.e
.
,
r
ed
u
cin
g
o
v
er
all
e
n
er
g
y
co
n
s
u
m
p
tio
n
m
ee
tin
g
m
u
lti
-
lev
el
s
cien
tific
wo
r
k
f
lo
w
task
d
e
p
en
d
e
n
cies.
T
h
e
s
ig
n
if
ican
ce
o
f
th
e
r
esear
c
h
wo
r
k
is
m
en
tio
n
ed
h
er
e.
−
T
h
e
wo
r
k
i
n
tr
o
d
u
ce
s
a
n
o
v
el
m
ak
esp
an
m
o
d
el
lev
er
a
g
in
g
m
u
lti
-
co
r
e
r
eso
u
r
ce
u
tili
za
tio
n
.
−
A
m
ak
esp
an
with
task
d
ep
e
n
d
en
cies
m
o
d
el
co
n
s
id
er
in
g
m
u
lti
-
lev
el
wo
r
k
f
lo
w
task
in
ter
d
ep
en
d
e
n
ce
o
f
s
cien
tific
wo
r
k
f
lo
w,
−
Simu
latio
n
is
co
n
s
id
er
ed
u
s
in
g
two
d
if
f
e
r
en
t scien
tific
wo
r
k
f
lo
ws n
am
ely
in
s
p
ir
al
an
d
s
ip
h
t
.
−
E
x
p
er
im
en
t
o
u
tco
m
e
s
h
o
ws
t
h
e
p
r
o
p
o
s
ed
m
o
d
el
ex
h
ib
its
s
u
p
er
io
r
p
er
f
o
r
m
an
ce
in
ter
m
s
o
f
r
ed
u
cin
g
m
ak
esp
an
an
d
en
er
g
y
in
co
m
p
ar
is
o
n
with
ex
is
tin
g
m
eth
o
d
o
l
o
g
y
.
T
h
e
m
an
u
s
cr
ip
t
o
r
g
an
izatio
n
: sectio
n
2
in
tr
o
d
u
ce
s
cu
r
r
en
t
s
tate
-
of
-
th
e
-
a
r
t
s
y
s
tem
to
m
ee
ts
s
tr
ict
Qo
S
an
d
SLA
co
n
s
tr
ain
t
o
f
s
cien
tific
wo
r
k
f
lo
w
ap
p
licatio
n
with
m
u
lti
-
lev
el
d
ep
en
d
en
cies.
Sectio
n
3
in
tr
o
d
u
ce
s
a
n
o
v
el
m
a
k
esp
an
m
o
d
el
to
f
u
lly
u
tili
ze
r
eso
u
r
c
es
ef
f
icie
n
tly
an
d
ass
u
r
es
task
d
ep
en
d
en
cies
o
f
s
cien
tific
wo
r
k
f
lo
w
ap
p
licatio
n
.
T
h
e
p
er
f
o
r
m
an
ce
is
p
r
o
p
o
s
ed
a
n
d
ex
is
tin
g
is
s
tu
d
ied
u
s
in
g
two
s
cien
tific
wo
r
k
f
lo
ws
in
s
ec
tio
n
4
.
th
e
last
s
ec
tio
n
th
e
s
ig
n
if
ican
ce
o
f
r
esear
ch
a
n
d
f
u
t
u
r
e
en
h
a
n
ce
m
en
t is p
r
o
v
id
e
d
.
2.
L
I
T
E
R
AT
U
RE
SU
RVE
Y
T
h
e
s
cien
tific
wo
r
k
f
lo
w
ap
p
licatio
n
s
h
av
e
g
r
o
wn
ex
p
o
n
en
ti
ally
in
r
ec
e
n
t
y
ea
r
s
d
u
e
t
o
av
a
ilab
ilit
y
o
f
p
ar
allel
an
d
d
is
tr
ib
u
ted
co
m
p
u
tin
g
p
latf
o
r
m
s
,
a
n
d
th
eir
e
f
f
i
cien
cy
h
as
im
p
r
o
v
ed
as
a
r
esu
lt.
Me
th
o
d
s
cr
ea
te
d
in
[
1
4
]
f
o
r
a
h
o
m
o
g
en
eo
u
s
f
r
am
ewo
r
k
ex
ec
u
te
u
n
s
atis
f
ac
to
r
ily
in
a
h
eter
o
g
en
eo
u
s
f
r
am
ewo
r
k
d
u
e
to
th
e
n
ee
d
f
o
r
th
e
in
p
u
t/o
u
t
p
u
t
(
I
/O)
a
n
d
m
em
o
r
y
o
p
tim
izatio
n
m
eth
o
d
,
d
esp
ite
p
r
o
v
id
i
n
g
lo
c
k
less
f
ir
s
t
in
f
ir
s
t
o
u
t
(
FIFO
)
wh
ich
i
n
co
r
p
o
r
ates
h
ad
o
o
p
m
ap
r
e
d
u
ce
(
HM
R
)
a
n
d
o
th
er
ap
p
licatio
n
s
.
I
n
th
e
HM
R
s
y
s
tem
,
th
e
s
ch
ed
u
ler
tech
n
iq
u
e
u
s
ed
d
u
r
i
n
g
th
e
s
h
u
f
f
lin
g
s
tag
e
is
th
e
p
r
im
ar
y
d
eter
m
in
a
n
t
o
f
m
ak
es
p
an
f
o
r
c
o
m
p
letin
g
task
s
[
1
5
]
.
As
d
em
o
n
s
tr
ated
i
n
[
1
6
]
,
p
r
i
o
r
a
p
p
r
o
ac
h
es
to
p
e
r
f
o
r
m
in
g
h
eter
o
g
e
n
eo
u
s
task
s
h
av
e
n
o
t
ta
k
en
tas
k
d
ep
en
d
e
n
ce
m
o
d
els
in
to
ac
co
u
n
t,
lead
in
g
to
in
e
f
f
icien
t
u
s
e
o
f
av
ailab
le
r
eso
u
r
ce
s
[
1
7
]
.
So
,
th
ey
d
ev
is
ed
a
n
ew
y
et
a
n
o
th
e
r
r
eso
u
r
ce
n
eg
o
tiato
r
(
YARN
)
s
ch
ed
u
lin
g
s
ch
em
e
th
at
cu
ts
d
o
wn
th
e
m
ak
esp
an
o
f
v
ar
io
u
s
in
d
u
s
tr
ial
task
s
.
Ma
k
esp
an
e
f
f
icien
cy
,
p
ar
tic
u
lar
ly
wh
e
n
d
e
alin
g
with
co
m
p
licated
r
e
p
etitiv
e
ap
p
licatio
n
s
,
is
n
eg
ativ
ely
im
p
ac
ted
b
y
th
e
f
ac
t
th
at
th
e
m
o
d
els
d
escr
ib
ed
in
[
1
8
]
,
[
1
9
]
d
o
n
'
t
ac
co
u
n
t
f
o
r
f
ailu
r
es
at
in
ter
m
ed
iar
y
task
s
co
n
s
id
er
i
n
g
DAG
ap
p
licatio
n
s
.
T
h
e
o
p
tim
izatio
n
o
f
en
e
r
g
y
a
n
d
co
s
t
f
o
r
d
iv
er
s
e
co
m
p
u
tatio
n
al
s
tr
u
ctu
r
es
is
t
h
e
m
ain
o
b
jectiv
e
o
f
th
e
s
tu
d
y
[
2
0
]
.
T
h
e
r
esear
ch
er
s
aim
ed
to
d
ev
elo
p
a
s
ch
ed
u
lin
g
m
ec
h
a
n
is
m
th
at
ef
f
ec
tiv
ely
m
an
ag
ed
th
e
wo
r
k
lo
ad
in
o
r
d
er
to
ac
h
ie
v
e
o
p
tim
al
o
u
tco
m
es
in
ter
m
s
o
f
b
o
th
e
n
er
g
y
an
d
c
o
s
t
ef
f
i
cien
cy
.
T
h
e
u
tili
za
tio
n
o
f
a
m
in
im
u
m
f
u
n
ctio
n
ality
in
th
i
s
co
n
tex
t
aim
s
to
Evaluation Warning : The document was created with Spire.PDF for Python.
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2
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Vo
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4
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Dec
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er
2
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4
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8
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7
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o
p
tim
ize
th
e
u
s
e
o
f
en
er
g
y
an
d
m
ee
t
task
-
d
ea
d
lin
es,
ta
k
in
g
in
to
ac
co
u
n
t
th
e
d
is
p
er
s
ed
lo
c
atio
n
.
D
is
tr
ib
u
tio
n
o
f
task
-
r
elate
d
d
ata.
T
h
e
d
ea
d
lin
es
h
av
e
b
ee
n
ca
r
ef
u
lly
ex
a
m
in
ed
an
d
o
r
g
a
n
ized
in
ascen
d
in
g
o
r
d
er
,
s
tar
tin
g
f
r
o
m
th
e
s
m
allest
to
th
e
lar
g
e
s
t.
I
n
t
h
is
s
tu
d
y
,
th
ey
p
r
esen
ted
a
n
o
v
el
ap
p
r
o
ac
h
t
o
a
d
d
r
e
s
s
th
e
ch
allen
g
e
o
f
s
elec
tin
g
an
e
f
f
ec
tiv
e
s
ch
ed
u
l
e
f
o
r
ex
e
cu
tio
n
o
f
p
r
o
ce
s
s
es.
T
h
e
p
r
o
p
o
s
ed
a
p
p
r
o
ac
h
was
b
ased
o
n
a
d
ap
tab
le
s
ea
r
ch
in
g
tech
n
iq
u
es,
wh
ich
h
av
e
s
h
o
wn
p
r
o
m
is
e
in
v
a
r
io
u
s
o
p
tim
izatio
n
p
r
o
b
lem
s
.
B
y
lev
er
ag
in
g
th
e
ad
ap
tab
ilit
y
o
f
th
e
s
ea
r
ch
al
g
o
r
ith
m
,
t
h
eir
m
eth
o
d
aim
ed
to
id
en
tify
th
e
m
o
s
t
s
u
itab
le
s
ch
ed
u
le
th
at
ca
n
m
ax
im
ize
th
e
ef
f
icien
c
y
o
f
th
e
m
eth
o
d
o
f
ex
ec
u
tio
n
.
T
h
is
r
esear
ch
co
n
tr
ib
u
tio
n
f
ill
s
a
g
ap
in
th
e
ex
is
tin
g
liter
atu
r
e
b
y
o
f
f
er
i
n
g
a
p
r
ac
tical
s
o
lu
tio
n
to
th
e
p
r
o
b
lem
at
h
a
n
d
.
As
p
er
[
1
2
]
,
th
er
e
ex
is
ts
an
im
m
ed
iate
co
n
n
ec
tio
n
b
etwe
e
n
escalate
d
co
m
p
u
tatio
n
ex
p
e
n
s
es
ass
o
ciate
d
with
s
er
v
ice
p
r
o
v
is
io
n
an
d
t
h
e
c
o
r
r
esp
o
n
d
in
g
s
u
r
g
e
in
en
er
g
y
u
s
ag
e.
T
im
elin
ess
an
d
r
eliab
ilit
y
ar
e
wid
ely
r
ec
o
g
n
ize
d
as
th
e
p
r
im
ar
y
m
etr
ics
o
f
u
tm
o
s
t
s
ig
n
if
ica
n
ce
with
in
th
e
r
ea
lm
o
f
cu
s
to
m
er
s
er
v
ice
s
u
p
p
ly
.
T
h
e
r
esear
ch
e
r
s
d
ev
is
ed
a
s
ch
ed
u
lin
g
s
tr
u
ct
u
r
e
ca
lled
e
n
er
g
y
m
in
s
ch
e
d
u
lin
g
(
E
MS)
to
a
d
d
r
ess
th
e
n
ee
d
f
o
r
r
ed
u
ce
d
en
e
r
g
y
-
co
n
s
u
m
p
tio
n
i
n
r
u
n
n
i
n
g
wo
r
k
lo
ad
s
.
T
h
is
f
r
a
m
ewo
r
k
s
u
cc
ess
f
u
lly
f
u
lf
illed
b
o
th
th
e
tim
elin
ess
an
d
r
eliab
ilit
y
r
eq
u
ir
e
m
en
ts
.
T
h
e
ap
p
licatio
n
o
f
n
o
n
-
lin
ea
r
m
ix
ed
-
in
teg
er
-
p
r
o
g
r
am
m
i
n
g
(
NL
-
M
I
P)
was
em
p
lo
y
ed
i
n
th
is
p
ar
ticu
lar
s
ce
n
ar
io
to
o
b
tain
a
n
o
p
tim
al
s
o
lu
tio
n
.
T
h
e
p
r
esen
t
s
tu
d
y
f
o
c
u
s
ed
o
n
th
e
d
ev
elo
p
m
e
n
t
o
f
a
m
ee
tin
g
r
eliab
ilit
y
ap
p
r
o
ac
h
,
wh
ich
c
en
ter
ed
o
n
th
e
u
tili
za
tio
n
o
f
a
s
ch
ed
u
le
len
g
th
m
in
im
izin
g
ap
p
r
o
ac
h
.
Fu
r
th
er
m
o
r
e,
th
e
im
p
lem
e
n
tatio
n
o
f
d
y
n
am
ic
-
v
o
ltag
e
f
r
e
q
u
e
n
cy
-
s
ca
lin
g
(
DVFS)
m
eth
o
d
allo
wed
f
o
r
t
h
e
r
ed
u
ct
io
n
o
f
e
n
er
g
y
-
co
n
s
u
m
p
tio
n
t
h
r
o
u
g
h
th
e
m
eth
o
d
o
f
p
r
o
ce
s
s
o
r
m
er
g
in
g
with
o
n
e
an
o
th
er
I
n
th
is
p
ar
ticu
lar
ca
s
e
,
s
ca
lin
g
was
p
er
f
o
r
m
ed
at
b
o
th
th
e
p
r
o
ce
s
s
o
r
an
d
task
s
tag
es.
T
h
e
f
in
d
in
g
s
o
f
th
is
s
tu
d
y
s
u
g
g
ested
t
h
at
p
r
e
v
io
u
s
f
r
am
ewo
r
k
s
p
er
f
o
r
m
e
d
m
o
r
e
ef
f
ec
ti
v
ely
wh
e
n
ex
p
o
s
ed
to
v
ar
y
i
n
g
d
eg
r
ee
s
o
f
d
is
r
u
p
tio
n
.
Nested
p
ar
ticle
s
war
m
o
p
tim
izatio
n
(
NPSO
)
an
d
f
ast
n
este
d
p
ar
ticle
s
war
m
o
p
tim
izatio
n
(
FNPS
O
)
ar
e
two
ev
o
lu
tio
n
ar
y
c
o
m
p
u
tin
g
m
o
d
els
d
e
v
elo
p
ed
in
[
2
1
]
to
en
h
an
ce
th
e
p
er
f
o
r
m
a
n
ce
o
f
d
em
an
d
i
n
g
wo
r
k
lo
ad
s
.
C
o
m
p
a
r
ed
to
th
e
tr
ad
itio
n
al
NPSO
ap
p
r
o
ac
h
,
th
e
FNPS
O
i
s
co
n
s
id
er
ab
ly
r
ed
u
ce
d
m
ak
e
-
s
p
an
an
d
co
s
t.
As
p
er
th
e
f
in
d
in
g
s
o
f
th
e
s
tu
d
y
co
n
d
u
cte
d
b
y
[
2
2
]
,
it
i
s
im
p
er
ativ
e
f
o
r
a
clo
u
d
-
b
ased
s
ch
ed
u
lin
g
m
eth
o
d
to
f
u
lf
ill b
o
th
u
s
er
tim
e
co
n
s
tr
ain
ts
an
d
SLAs.
A
m
u
lti
-
clo
u
d
s
y
s
tem
[
2
3
]
was e
m
p
lo
y
ed
in
o
r
d
er
to
alig
n
with
th
e
p
ar
ticu
lar
ef
f
icie
n
cy
an
d
co
s
t
cr
iter
ia
o
f
th
e
s
tr
ea
m
wo
r
k
lo
ad
im
p
lem
en
tatio
n
.
B
y
lev
er
ag
in
g
a
m
u
lti
-
clo
u
d
s
tr
u
ctu
r
e
an
d
im
p
lem
e
n
tin
g
a
f
au
lt
-
to
ler
an
t
s
ch
ed
u
l
in
g
ar
ch
itectu
r
e,
a
s
y
s
tem
ca
n
b
e
d
ev
elo
p
e
d
to
ad
d
r
ess
th
e
task
at
h
an
d
.
T
h
e
u
tili
za
tio
n
o
f
a
m
u
lti
-
clo
u
d
s
tr
u
ctu
r
e
allo
ws
f
o
r
th
e
d
is
tr
ib
u
tio
n
o
f
wo
r
k
l
o
ad
s
ac
r
o
s
s
m
u
ltip
le
clo
u
d
s
er
v
ice
p
r
o
v
id
e
r
s
,
th
er
eb
y
e
n
h
an
cin
g
r
eso
u
r
ce
av
ailab
ilit
y
an
d
s
ca
lab
ilit
y
.
Ad
d
itio
n
ally
,
th
e
in
co
r
p
o
r
atio
n
o
f
a
f
au
lt
-
to
ler
an
t
s
ch
ed
u
lin
g
s
tr
u
ctu
r
e
en
s
u
r
es
th
at
th
e
s
y
s
tem
ca
n
wit
h
s
tan
d
an
d
r
ec
o
v
e
r
f
r
o
m
p
o
ten
tial
f
ailu
r
es
o
r
d
is
r
u
p
tio
n
s
,
th
er
eb
y
m
in
im
izi
n
g
d
o
wn
tim
e
a
n
d
m
ax
i
m
izin
g
r
eliab
ilit
y
[
2
4
]
.
Fu
r
th
er
m
o
r
e
,
th
e
p
r
o
p
o
s
ed
m
o
d
el
n
o
t
o
n
ly
g
u
ar
an
tees
th
e
f
u
lf
illme
n
t
o
f
th
e
r
eliab
ilit
y
cr
iter
io
n
b
u
t
also
ef
f
ec
tiv
ely
r
ed
u
ce
s
th
e
ass
o
ciate
d
co
s
t.
A
co
m
p
r
eh
e
n
s
iv
e
ex
am
in
atio
n
was
co
n
d
u
cted
to
ass
es
s
th
e
r
ates
o
f
f
ailu
r
e
an
d
r
eliab
ilit
y
b
y
em
p
lo
y
in
g
an
o
n
g
o
i
n
g
p
r
o
b
a
b
ilit
y
d
is
tr
ib
u
tio
n
.
Af
ter
d
eter
m
in
in
g
th
e
f
i
n
an
cial
im
p
licatio
n
s
o
f
im
p
lem
en
tin
g
th
e
m
u
lti
-
clo
u
d
p
latf
o
r
m
,
th
e
s
u
b
s
eq
u
en
t
p
h
ase
in
v
o
lv
es
f
o
r
m
u
latin
g
a
f
au
lt
-
to
ler
an
t
wo
r
k
l
o
ad
-
s
ch
ed
u
lin
g
f
r
am
ewo
r
k
th
at
g
u
a
r
an
tees
d
e
p
en
d
ab
ilit
y
,
c
o
s
t
r
ed
u
ctio
n
,
m
in
im
ized
ex
ec
u
tio
n
d
u
r
atio
n
,
a
n
d
co
s
t
ef
f
icien
cy
.
T
h
e
in
ab
ilit
y
to
f
u
lf
ill
th
e
co
s
t
co
n
s
tr
ain
ts
o
f
th
e
ap
p
licatio
n
ca
n
b
e
attr
ib
u
ted
t
o
th
e
ab
s
en
ce
o
f
lo
a
d
b
alan
cin
g
m
ec
h
an
is
m
s
[
2
5
]
.
T
h
e
s
u
b
s
e
q
u
en
t
s
ec
tio
n
p
r
esen
ts
a
s
ch
e
d
u
lin
g
s
tr
ateg
y
th
at
tak
es
in
to
co
n
s
id
er
atio
n
Qo
S
p
er
f
o
r
m
an
ce
f
ac
to
r
s
lik
e
m
a
k
esp
an
,
r
eso
u
r
ce
u
tili
za
tio
n
a
n
d
SLA
c
o
n
s
tr
ain
ts
lik
e
wo
r
k
f
l
o
w
d
ea
d
lin
e
at
d
if
f
er
en
t
lev
el
in
h
eter
o
g
e
n
eo
u
s
clo
u
d
en
v
ir
o
n
m
e
n
ts
,
in
o
r
d
er
to
tack
le
t
h
e
ch
allen
g
es p
r
ev
i
o
u
s
ly
m
en
tio
n
ed
.
3.
P
RO
P
O
SE
D
M
E
T
H
O
DO
L
O
G
Y
T
h
is
p
ap
er
in
tr
o
d
u
ce
s
a
n
o
v
el
clo
u
d
-
b
ased
p
a
r
allel
co
m
p
u
tat
io
n
al
f
r
am
ewo
r
k
f
o
r
ef
f
ec
tiv
e
ex
ec
u
tio
n
o
f
p
ar
allel
s
cien
tific
wo
r
k
f
lo
w
with
r
ed
u
ce
d
m
ak
esp
an
a
s
s
h
o
wn
in
Fig
u
r
e
3
.
T
h
is
wo
r
k
in
tr
o
d
u
ce
s
a
m
u
lti
-
lev
el
wo
r
k
f
lo
w
ap
p
lica
tio
n
s
p
ec
if
ic
Qo
S
d
ep
en
d
e
n
c
y
awa
r
e
m
ak
esp
an
m
o
d
el.
Nam
ely
task
-
awa
r
e
m
ak
esp
an
o
p
tim
ized
s
ch
e
d
u
le
r
(
T
AM
OS)
m
ee
tin
g
SLA
co
n
s
tr
ain
t
with
b
etter
r
eso
u
r
ce
u
tili
za
tio
n
lev
er
ag
in
g
m
u
lti
-
co
r
e
p
latf
o
r
m
.
A
co
m
p
r
eh
en
s
iv
e
m
ak
esp
an
a
p
p
r
o
ac
h
i
s
p
r
esen
ted
t
o
a
d
d
r
e
s
s
th
e
is
s
u
e
o
f
im
p
r
o
v
in
g
task
ex
ec
u
tio
n
ef
f
icien
cy
in
th
e
T
AM
OS
f
r
a
m
ewo
r
k
.
T
h
e
c
o
m
p
u
tatio
n
o
f
th
e
m
ak
esp
an
f
o
r
ca
r
r
y
in
g
o
u
t
a
task
is
ea
s
ily
ac
h
iev
ed
b
y
u
tili
zin
g
th
e
eq
u
at
io
n
s
h
o
wn
h
er
e.
T
h
e
co
m
p
u
tat
io
n
o
f
t
h
e
m
ak
esp
a
n
is
m
en
tio
n
ed
in
(
1
)
.
=
+
+
.
(
1
)
T
h
e
v
ar
iab
le
r
ep
r
esen
ts
th
e
m
ak
esp
an
f
o
r
th
e
b
eg
i
n
n
in
g
wo
r
k
er
c
o
n
s
id
er
in
g
b
o
th
I
/O
an
d
m
em
o
r
y
o
p
tim
izatio
n
,
wh
ile
d
en
o
tes
t
h
e
m
ak
esp
an
f
o
r
ca
r
r
y
i
n
g
o
u
t
o
f
m
ap
task
s
,
an
d
r
ep
r
esen
ts
th
e
m
ak
esp
an
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
A
mu
lti
-
co
r
e
ma
ke
s
p
a
n
mo
d
el
fo
r
p
a
r
a
llel scien
tifi
c
w
o
r
kflo
w
ex
ec
u
tio
n
in
clo
u
d
… (
F
a
r
h
a
N
a
a
z
)
3853
f
o
r
ca
r
r
y
in
g
o
u
t
r
ed
u
ce
task
s
.
Ass
u
m
e
a
s
ce
n
ar
io
wh
er
e
ea
ch
wo
r
k
er
,
d
en
o
ted
as
,
is
co
m
p
r
is
ed
o
f
a
p
ar
ticu
lar
n
u
m
b
er
o
f
c
o
r
es/t
h
r
ea
d
s
,
r
ep
r
esen
ted
b
y
,
an
d
h
as a
m
em
o
r
y
d
im
en
s
io
n
o
f
.
Fig
u
r
e
3
.
Ar
c
h
itectu
r
e
o
f
p
r
o
p
o
s
ed
clo
u
d
-
b
ased
co
m
p
u
tatio
n
al
f
r
am
ewo
r
k
f
o
r
ex
ec
u
tio
n
o
f
p
ar
allel
s
cien
tific
wo
r
k
f
lo
w
I
n
th
is
co
n
tex
t,
t
h
e
m
ea
n
m
a
k
e
-
s
p
an
f
o
r
ca
r
r
y
in
g
o
u
t
a
task
is
ab
le
to
b
e
d
eter
m
in
ed
th
r
o
u
g
h
in
(
2
)
.
I
n
an
id
en
tical
m
an
n
er
,
t
h
e
co
m
p
u
tatio
n
o
f
th
e
m
ea
n
m
ak
e
-
s
p
an
f
o
r
th
e
r
e
d
u
ce
task
ca
n
b
e
d
eter
m
in
ed
u
s
in
g
(
3
)
.
T
h
e
c
o
m
p
u
tatio
n
o
f
th
e
o
v
er
all
m
ak
e
-
s
p
a
n
o
f
T
AM
OS
ca
n
b
e
ac
h
iev
ed
b
y
u
tili
zin
g
(
2
)
an
d
(
3
)
an
d
it
is
p
r
esen
ted
in
(
4
)
.
=
∑
=
1
_
(
2
)
=
∑
=
1
.
(
3
)
=
+
∑
=
1
(
_
+
_
)
.
(
4
)
T
h
e
task
ex
ec
u
tio
n
o
f
v
ar
i
o
u
s
p
h
ases
with
in
th
e
T
AM
OS
f
r
am
ewo
r
k
ex
h
ib
its
v
ar
iab
ilit
y
.
T
h
er
ef
o
r
e,
we
h
av
e
estab
lis
h
ed
b
o
th
u
p
p
er
lim
its
an
d
lo
wer
lim
its
f
o
r
th
e
m
ak
e
-
s
p
an
r
e
q
u
ir
ed
to
e
x
ec
u
te
task
.
I
n
(
5
)
u
s
ed
to
ca
lcu
late
th
e
o
v
e
r
all
m
ak
e
-
s
p
an
f
o
r
th
e
ℎ
task
s
with
i
n
th
e
T
AM
OS
f
r
am
ewo
r
k
u
n
d
er
th
e
id
ea
l
ca
s
e
s
ce
n
ar
io
as m
en
tio
n
ed
h
er
e.
=
+
−
(
−
)
(
5
)
T
h
e
v
ar
iab
le
is
u
s
ed
to
d
en
o
te
th
e
s
h
o
r
test
m
ak
e
-
s
p
a
n
tim
e
r
eq
u
ir
e
d
f
o
r
th
e
e
x
ec
u
tio
n
o
f
task
.
Similar
ly
,
r
ep
r
esen
ts
th
e
s
h
o
r
test
am
o
u
n
t
o
f
tim
e
r
eq
u
i
r
ed
f
o
r
ca
r
r
y
i
n
g
o
u
t
a
m
ap
task
,
wh
ile
an
d
in
d
icate
th
e
b
ar
e
ess
en
tial
tim
e
r
eq
u
ir
e
d
f
o
r
ca
r
r
y
in
g
o
u
t
a
r
ed
u
ce
-
task
.
On
th
e
o
th
er
h
an
d
,
r
ep
r
esen
ts
th
e
lo
n
g
est
am
o
u
n
t
o
f
tim
e
r
eq
u
ir
ed
f
o
r
ca
r
r
y
in
g
o
u
t
a
m
ap
-
task
.
In
(
5
)
is
wr
itten
in
s
im
p
lifie
d
r
ep
r
esen
tatio
n
as
m
en
tio
n
ed
i
n
(
6
)
.
I
n
t
h
e
T
AM
OS
f
r
am
ew
o
r
k
,
th
e
o
v
er
all
m
ak
esp
an
o
f
t
h
e
ℎ
jo
b
u
n
d
e
r
th
e
m
o
s
t
s
ev
er
e
cir
cu
m
s
tan
ce
s
is
d
eter
m
in
ed
b
y
ap
p
ly
in
g
th
e
s
u
b
s
eq
u
en
t
eq
u
atio
n
as
g
iv
en
in
(
7
)
.
T
h
e
ab
o
v
e
eq
u
atio
n
is
wr
itten
in
s
im
p
lifie
d
m
an
n
er
as
m
e
n
tio
n
ed
in
(
8
)
.
In
(
9
)
p
r
o
v
id
e
d
b
elo
w
is
u
ti
lized
to
d
er
iv
e
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
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tif
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tell
,
Vo
l.
13
,
No
.
4
,
Dec
em
b
er
2
0
2
4
:
3
8
4
9
-
3
8
5
7
3854
o
v
er
all
m
a
k
esp
an
o
f
task
u
s
in
g
th
e
T
AM
OS
f
r
am
ewo
r
k
.
T
h
e
esti
m
atio
n
o
f
th
e
o
v
er
all
m
ak
e
-
s
p
an
⃗
⃗
f
o
r
ca
r
r
y
in
g
o
u
t
task
is
ca
lcu
lated
u
tili
zin
g
(
6
)
an
d
(
8
)
as
f
o
llo
ws
in
(
1
0
)
.
I
n
(
1
0
)
is
s
im
p
lifie
d
as
m
e
n
tio
n
ed
i
n
(
1
1
)
.
T
h
e
f
in
al
m
ak
esp
a
n
co
n
s
id
er
in
g
m
u
lti
-
lev
el
wo
r
k
f
lo
w
ex
ec
u
tio
n
is
o
b
tain
ed
b
y
m
o
d
if
y
in
g
(
1
1
)
is
m
ath
em
atica
lly
g
iv
en
as m
e
n
tio
n
ed
in
(
1
2
)
.
=
+
−
(
−
)
(
6
)
=
+
−
(
−
)
(
7
)
=
+
(
8
)
⃗
⃗
=
(
+
)
2
(
9
)
⃗
⃗
=
(
(
+
−
(
−
)
)
+
(
+
−
(
−
)
)
)
2
(
1
0
)
⃗
⃗
=
(
(
+
)
+
(
2
+
−
)
)
2
(
1
1
)
⃗
⃗
=
(
3
+
+
−
)
2
(
1
2
)
T
h
e
p
r
esen
t
s
tu
d
y
em
p
lo
y
s
a
m
eth
o
d
o
lo
g
y
co
m
p
a
r
ab
le
to
th
at
d
escr
ib
ed
in
p
r
ev
i
o
u
s
wo
r
k
s
,
s
p
ec
if
ically
[
3
]
,
[
5
]
.
T
o
co
n
s
tr
u
ct
a
f
r
am
ew
o
r
k
f
o
r
d
ata
d
ep
en
d
en
ce
th
r
o
u
g
h
th
e
u
tili
z
atio
n
o
f
r
eg
r
ess
io
n
an
aly
s
is
.
T
h
e
T
AM
OS
f
r
am
ewo
r
k
h
as
b
ee
n
o
b
s
er
v
ed
t
o
ex
h
ib
it
s
u
p
er
io
r
p
e
r
f
o
r
m
an
ce
in
ter
m
s
o
f
m
in
im
izin
g
m
ak
esp
an
an
d
r
ed
u
cin
g
e
n
er
g
y
b
y
u
tili
zin
g
r
eso
u
r
ce
ef
f
icien
tly
f
o
r
t
h
e
ex
ec
u
tio
n
o
f
p
ar
allel
s
cien
tific
wo
r
k
f
lo
w
wh
ich
is
s
h
o
wn
th
r
o
u
g
h
s
im
u
latio
n
s
tu
d
y
in
n
ex
t s
ec
tio
n
.
4.
RE
SU
L
T
AND
DI
SCUS
SI
O
N
T
h
e
f
o
llo
win
g
s
ec
tio
n
f
o
c
u
s
es
o
n
th
e
ev
alu
atio
n
o
f
p
er
f
o
r
m
an
ce
m
etr
ics,
n
am
ely
m
ak
e
s
p
an
,
an
d
en
er
g
y
e
f
f
icien
cy
,
i
n
th
e
co
n
tex
t
o
f
th
e
s
u
g
g
ested
T
AM
OS
f
r
am
ewo
r
k
c
o
m
p
ar
e
d
to
th
e
ex
is
tin
g
r
eliab
le
wo
r
k
f
lo
w
s
ch
ed
u
lin
g
(
R
W
S)
ap
p
r
o
ac
h
[
1
3
]
.
T
AM
OS
an
d
R
W
S
h
av
e
b
ee
n
d
ev
elo
p
e
d
an
d
d
ep
lo
y
e
d
th
r
o
u
g
h
th
e
u
tili
za
tio
n
o
f
th
e
J
av
a
p
r
o
g
r
a
m
m
in
g
lan
g
u
ag
e.
T
h
e
C
lo
u
d
Sim
So
f
twar
e
-
d
ef
in
e
d
n
etwo
r
k
i
n
g
-
b
ased
n
etwo
r
k
f
u
n
ctio
n
v
ir
tu
aliza
tio
n
(
C
lo
u
d
SimSDN‐
NFV
)
s
im
u
lato
r
[
2
6
]
h
as
b
ee
n
e
m
p
lo
y
e
d
as
th
e
u
n
d
er
ly
i
n
g
p
latf
o
r
m
f
o
r
th
e
im
p
lem
e
n
tatio
n
o
f
t
h
ese
s
y
s
tem
s
.
T
h
e
in
s
p
ir
al
an
d
s
ip
h
t
s
cien
tific
wo
r
k
f
lo
w
is
u
s
ed
f
o
r
v
er
if
y
in
g
p
r
o
p
o
s
ed
T
AM
OS
f
r
am
ewo
r
k
.
T
h
e
m
ath
em
ati
ca
l
co
m
p
lex
ity
o
f
th
e
task
s
at
h
an
d
in
v
o
lv
es
a
s
ig
n
if
ican
t
am
o
u
n
t
o
f
m
em
o
r
y
,
p
r
o
ce
s
s
o
r
,
a
n
d
in
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s
ize
o
f
1
0
0
0
Fig
u
r
e
1
1
.
E
n
er
g
y
ef
f
icien
cy
with
s
ip
h
t w
o
r
k
f
lo
w
s
ize
o
f
1
0
0
0
5.
CO
NCLU
SI
O
N
T
h
e
p
r
esen
t
s
tu
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y
in
tr
o
d
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ce
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a
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o
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m
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co
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r
ce
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e
m
ak
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n
m
o
d
el
f
o
r
wo
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f
lo
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ch
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lin
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lly
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ar
a
n
tees
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e
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l
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illme
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t
o
f
task
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SLAs.
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o
o
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r
k
n
o
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e,
v
er
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wo
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k
h
as
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r
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r
e
ad
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r
ess
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wh
en
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lan
n
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g
a
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f
lo
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ch
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lin
g
.
T
h
e
p
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t
s
tu
d
y
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o
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ak
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ile
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im
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ltan
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ly
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e
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at
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d
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m
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co
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s
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th
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m
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s
u
b
s
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ed
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o
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er
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o
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e
r
atio
n
m
ak
esp
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an
d
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e
r
g
y
th
er
e
b
y
will
aid
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n
u
tili
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g
r
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r
c
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f
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tly
with
m
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im
al
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s
t
ca
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e
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e
d
.
T
AM
OS
d
em
o
n
s
tr
ates
h
ig
h
e
f
f
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in
th
e
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tio
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o
f
C
PU,
m
em
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y
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d
I
/O
r
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r
ce
s
f
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r
e
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tin
g
p
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ir
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ig
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tatio
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al
an
d
d
ata
p
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ce
s
s
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g
ca
p
ab
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ies.
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h
is
e
f
f
icien
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ac
h
iev
ed
b
y
u
tili
zin
g
s
h
ar
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co
m
p
u
tin
g
en
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ir
o
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m
en
ts
,
p
ar
ticu
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ly
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clo
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d
en
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ir
o
n
m
e
n
ts
.
T
h
e
ex
p
er
im
en
tal
r
esu
lts
d
em
o
n
s
tr
ate
th
at
th
e
T
AM
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s
y
s
tem
ex
h
ib
its
a
h
ig
h
lev
el
o
f
m
ak
esp
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d
en
er
g
y
ef
f
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cy
f
o
r
e
x
ec
u
tio
n
o
f
cy
b
er
s
h
ak
e
wo
r
k
f
lo
ws.
Sp
ec
if
ically
,
wh
en
co
m
p
ar
ed
to
th
e
R
W
S
s
y
s
tem
,
T
AM
O
S
s
h
o
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ases
an
im
p
r
ess
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e
in
cr
ea
s
e
o
f
6
7
.
3
9
%
an
d
8
2
.
7
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%
f
o
r
m
a
k
esp
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an
d
e
n
er
g
y
ef
f
icien
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,
r
esp
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tiv
ely
.
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n
th
e
f
u
tu
r
e
,
it
is
an
ticip
ated
t
h
at
th
e
s
u
g
g
ested
s
ch
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u
lin
g
a
p
p
r
o
ac
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will
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n
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test
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g
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s
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g
a
b
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d
ataset
o
f
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d
s
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n
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itio
n
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it
is
wo
r
th
ex
p
lo
r
in
g
th
e
p
o
ten
tial
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en
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its
o
f
u
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n
ed
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e
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clo
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d
s
tr
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c
tu
r
e
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o
r
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er
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tially
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s
t
r
ed
u
ctio
n
an
d
m
in
im
ize
ex
ec
u
tio
n
d
elay
s
.
RE
F
E
R
E
NC
E
S
[
1
]
J.
K
i
m
,
H
.
R
o
h
,
a
n
d
S
.
P
a
r
k
,
“
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EE
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r
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.
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7
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4
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1
.
[
2
]
N
.
Zh
a
n
g
,
M
.
W
a
n
g
,
Z.
D
u
a
n
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d
C
.
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a
n
,
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V
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EEE
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ra
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Re
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/
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.
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9
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4
4
1
.
[
3
]
D
.
Y
a
n
g
,
D
.
C
h
e
n
g
,
W
.
R
a
n
g
,
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d
Y
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n
g
,
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o
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mi
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s
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sa
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t
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C
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9
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.
[
4
]
A
.
K
u
mar,
N
.
V
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r
sh
n
e
y
,
S
.
B
h
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t
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a
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d
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.
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g
h
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6
.
[
5
]
X
.
Li
,
F
.
C
h
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n
,
R
.
R
u
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z
,
a
n
d
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.
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.
[
6
]
R
.
Je
y
a
r
a
j
a
n
d
A
.
P
a
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l
,
“
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2
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.
[
7
]
X
.
Li
,
W
.
Y
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,
R
.
R
u
i
z
,
a
n
d
J.
Zh
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TSC
.
2
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9
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5
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.
[
8
]
P
.
P
u
j
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r
,
A
.
K
u
m
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,
a
n
d
V
.
K
u
mar
,
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AE
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Ar
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(
I
J
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AI
)
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.
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[
9
]
S
.
H
.
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a
,
V
.
K
u
mar,
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n
I
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C
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rm
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T
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s:
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2
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