Pawn: Enabling Peer-to-Peer Interactions on the Grid The ... · Pawn: Enabling Peer-to-Peer...
37
Pawn: Enabling Peer-to-Peer Interactions on the Grid Vincent Matossian Spring 2003 The Applied Software Systems Laboratory
Transcript of Pawn: Enabling Peer-to-Peer Interactions on the Grid The ... · Pawn: Enabling Peer-to-Peer...
Paw
n: E
nabl
ing
Pee
r-to
-Pee
r In
tera
ctio
ns o
n th
e G
rid
Vin
cent
Mat
ossi
anS
prin
g 20
03
The
App
lied
Sof
twar
e S
yste
ms
Labo
rato
ry
Vin
cent
Mat
ossi
an 2
003
2/36
Pee
r-to
-pee
r com
putin
gce
ntra
lized
dece
ntra
lized
Vin
cent
Mat
ossi
an 2
003
3/36
Mot
ivat
ion
Mov
e to
war
ds d
ecen
traliz
ed c
ompu
ting
Dec
entra
lized
sys
tem
s bu
ild o
n c
omm
on la
yers
of
pro
toco
ls a
nd m
echa
nism
s Th
e G
rid c
omm
unity
is a
ddre
ssin
g lo
w-le
vel
requ
irem
ents
and
spe
cific
atio
n su
ch a
s se
curit
y,
reso
urce
allo
catio
n an
d m
anag
emen
t. G
rid a
pplic
atio
ns re
quire
hig
h-le
vel p
eer-
to-p
eer
inte
ract
ions
whi
ch re
mai
n an
ope
n pr
oble
m
Vin
cent
Mat
ossi
an 2
003
4/36
Aut
onom
ic C
ompu
tatio
nal C
olla
bora
tory
on
the
Grid
-E
nabl
ing
Glo
bal
Sci
entif
ic In
vest
igat
ion
Mod
els
dyna
mic
ally
co
mpo
sed.
“W
ebS
ervi
ces”
di
scov
ered
&
invo
ked.
Res
ourc
es d
isco
vere
d,
nego
tiate
d, c
o-al
loca
ted
on-th
e-fly
. M
odel
/Sim
ulat
ion
depl
oyed
Expe
rts q
uery
, co
nfig
ure
reso
urce
s
Exp
erts
inte
ract
and
co
llabo
rate
usi
ng
ubiq
uito
us a
nd
perv
asiv
e po
rtals
App
licat
ions
& S
ervi
ces
Mod
el A
Mod
el B
Lapt
op
PD
A
Com
pute
rS
cien
tist
Sci
entis
t
Res
ourc
es
Com
pute
rs, S
tora
ge,
Inst
rum
ents
, ...
Dat
a A
rchi
ve &
Sen
sors
Dat
aA
rchi
ves
Sen
sors
, Non
-T
radi
tiona
l Dat
aS
ourc
es
Exp
erts
min
e ar
chiv
e, m
atch
re
al-ti
me
data
with
hi
stor
y
Rea
l-tim
e da
ta in
ject
ion
(sen
sors
, lab
orat
ory
inve
stig
atio
ns,
inst
rum
ents
, dat
a ar
chiv
es),
Aut
omat
ed
min
ing
& m
atch
ing
Mod
els
writ
e in
to
the
arch
iveExp
erts
mon
itor/i
nter
act
with
/inte
rrog
ate/
stee
r mod
els
(“wha
t if”
scen
ario
s,…
). A
pplic
atio
n no
tifie
s ex
perts
of
inte
rest
ing
phen
omen
on.
Vin
cent
Mat
ossi
an 2
003
5/36
Pro
blem
sta
tem
ent
Def
ine
the
requ
irem
ents
and
sem
antic
s of
a
mes
sagi
ng s
ubst
rate
ena
blin
g ap
plic
atio
n in
tera
ctio
ns o
n th
e G
ridId
entif
y an
d im
plem
ent t
he c
orre
spon
ding
se
rvic
es a
nd m
echa
nism
sD
eplo
y an
d ev
alua
te s
uch
a m
essa
ging
su
bstra
te
Vin
cent
Mat
ossi
an 2
003
6/36
Dec
entra
lized
sys
tem
s… a
lot o
f iss
ues
?
Nam
ing
: How
to m
ap a
reso
urce
nam
e to
a lo
catio
n?D
isco
very
: How
to d
isco
ver a
nd p
ublis
h a
reso
urce
?R
outin
g: H
ow to
rout
e in
form
atio
n fro
m a
sou
rce
to a
de
stin
atio
n ad
dres
s?C
oord
inat
ion
: How
to m
aint
ain
orde
ring
of m
essa
ges
arriv
ing
from
dis
tribu
ted
node
s ?
Faul
t-tol
eran
ce: H
ow to
cop
e w
ith n
odes
failin
g sp
onta
neou
sly
in th
e ne
twor
k?Se
curit
y: H
ow to
gua
rant
ee a
uthe
ntic
atio
n, in
tegr
ity,
conf
iden
tialit
y of
mes
sage
s an
d pe
ers?
Thos
e is
sues
hav
e be
en a
ddre
ssed
Nam
ing
& D
isco
very
D
NS
Rou
ting
OS
PF
Coo
rdin
atio
n Ti
mes
tam
p al
gorit
hms
Faul
t-tol
eran
ce
Rep
licat
ion
Sec
urity
P
ublic
Key
Infra
stru
ctur
e
Vin
cent
Mat
ossi
an 2
003
7/36
Our
focu
s
Eng
inee
r a p
eer-t
o-pe
er m
essa
ging
su
bstra
te th
at e
xten
ds e
xist
ing
solu
tions
to
enab
le h
igh-
leve
l int
erac
tions
for s
cien
tific
ap
plic
atio
ns
Vin
cent
Mat
ossi
an 2
003
8/36
Con
tribu
tions
We
argu
e th
at b
uild
ing
larg
e-sc
ale
scie
ntifi
c co
llabo
ratio
ns b
enef
its fr
om a
pur
ely
peer
-to-p
eer
arch
itect
ure
as o
ppos
ed to
a c
lient
/ser
ver a
rchi
tect
ure.
We
defin
e th
e de
sign
requ
irem
ents
of a
pee
r-to
-pee
r m
essa
ging
mid
dlew
are.
We
impl
emen
t and
dep
loy
Paw
n, a
pee
r-to
-pee
r m
essa
ging
that
allo
ws
build
ing
inte
rope
rabl
e, a
dapt
ive,
an
d au
tono
mic
app
licat
ions
W
e ev
alua
te th
e pe
rform
ance
of P
awn
in a
real
-wor
ld
appl
icat
ion
Vin
cent
Mat
ossi
an 2
003
9/36
Talk
ove
rvie
wB
ackg
roun
d &
rela
ted
wor
kM
essa
ging
sys
tem
s,P
eer-
to-p
eer a
nd c
olla
bora
tive
prob
lem
sol
ving
Paw
n: D
esig
n an
d Im
plem
enta
tion
Arc
hite
ctur
eC
ompo
nent
sIn
tera
ctio
nsS
ervi
ces
App
licat
ion
Sce
nario
: Aut
onom
ic o
ptim
izat
ion
of o
il re
serv
oir
sim
ulat
ion
Exp
erim
enta
l eva
luat
ion
Com
mun
icat
ions
Stre
ss te
sts
Cos
ts (m
emor
y +
proc
essi
ng)
Con
clus
ions
and
futu
re w
ork
Vin
cent
Mat
ossi
an 2
003
10/3
6
Mes
sagi
ng s
yste
ms
4 br
oad
cate
gorie
s of
mes
sagi
ng s
yste
ms Not
for h
igh-
band
wid
th
stre
amin
g of
med
iaA
sync
hron
ous,
Sto
re a
nd
forw
ard
Mes
sage
Orie
nted
M
iddl
ewar
e
Not
for l
oose
ly c
oupl
ed
syst
ems
Imm
edia
te D
eliv
ery
Mes
sage
Pas
sing
Dep
ends
on
Rem
ote
Pro
cess
ing
Tim
eSi
mpl
eR
emot
e P
roce
dure
Cal
ls
Long
Pro
cess
Take
car
e of
eve
ryth
ing
Hig
h Ba
ndw
idth
Raw
Net
wor
kC
ons
Pros
Syst
em
2 br
oad
arch
itect
ures
Poi
nt –
to-p
oint
(e.
g. e
mai
l)
Pub
lishe
r/Sub
scrib
er (m
ailin
g lis
t)
Vin
cent
Mat
ossi
an 2
003
11/3
6
Mes
sagi
ng m
iddl
ewar
e : p
ublis
h/su
bscr
ibe
syst
ems
MO
Msu
ch a
s {J
ava
Mes
sage
Ser
vice
, IB
M M
QSe
ries,
LeS
ubsc
ribe}
can
:E
mbe
d m
essa
ge tr
ansa
ctio
n m
echa
nism
s in
sim
ple
to u
se A
PI
Pro
vide
flex
ible
del
iver
y an
d tra
nsfe
r gua
rant
ees
Use
que
ues
to s
tore
and
forw
ard
mes
sage
s be
twee
n ho
sts
Per
form
Con
tent
-bas
ed ro
utin
gE
nabl
e ev
ent n
otifi
catio
n ac
ross
WA
NM
essa
ging
for G
rid A
pplic
atio
ns s
uch
as {G
ridR
PC, X
Even
ts/X
Mes
sage
s}
Sup
port
for m
essa
ging
acr
oss
virtu
al o
rgan
izat
ions
P2P
Mes
sagi
ngfo
r Grid
App
licat
ions
suc
h as
Nar
adaB
roke
ring
Wid
e ar
ea e
vent
bro
kerin
g ta
rget
ing
larg
e sc
ale
colla
bora
tions
in e
duca
tion
and
scie
nce
Grid
mid
dlew
are
such
as
ICEN
IE
nabl
es c
ompo
nent
-bas
ed a
pplic
atio
n co
mpo
sitio
n fo
r e-S
cien
ce
Paw
nis
a p
ublis
h/su
bscr
ibe
syst
emC
ombi
nes
prop
ertie
s fro
m m
essa
ging
and
P2P
mes
sagi
ng o
n th
e G
ridto
pro
vide
pu
blis
her/s
ubsc
riber
func
tiona
litie
s (p
ush,
pul
l, re
ques
t/res
pons
e, tr
ansa
ctio
ns).
Focu
ses
on in
tera
ctio
n se
rvic
es to
sup
port
appl
icat
ion
mon
itorin
g an
d st
eerin
g,
colla
bora
tion,
and
app
licat
ion
exec
utio
n on
the
Grid
. E
xten
ds J
XTA
pip
e an
d re
solv
erse
rvic
es to
pro
vide
gua
rant
eed
appl
icat
ion-
leve
l mes
sage
de
liver
y.
Mes
sage
s co
ntai
n st
ate
info
rmat
ion,
that
allo
w th
e sy
stem
to re
cove
r fro
m fa
ilure
.
Vin
cent
Mat
ossi
an 2
003
12/3
6
P2P
col
labo
rato
ries
requ
irem
ents
Ben
efit
from
a p
eer-
to-p
eer a
rchi
tect
ure
Gro
up fo
rmat
ion
& C
olla
bora
tion
Mes
sagi
ngFl
exib
le d
eliv
ery
and
trans
port
guar
ante
es tr
ansp
aren
t to
the
user
Net
wor
k ar
chite
ctur
e &
Com
mun
icat
ion
mod
els
Syn
chro
nous
com
mun
icat
ion
for r
eal-t
ime
info
rmat
ion
trans
fers
Asy
nchr
onou
s co
mm
unic
atio
ns fo
r sto
ring
info
rmat
ion
whe
n of
fline
But
cer
tain
issu
es re
mai
n op
en p
robl
ems
Sec
urity
and
trus
tD
istri
bute
d da
ta a
rchi
val
Vin
cent
Mat
ossi
an 2
003
13/3
6
Paw
n O
verv
iew
Pro
vide
s m
essa
ging
mec
hani
sms
to e
nabl
e in
tera
ctio
ns
on th
e G
ridP
rovi
des
publ
ish/
subs
crib
e m
echa
nism
s ac
ross
pee
r-to
-pe
er d
omai
nsB
uild
s hi
gh-le
vel m
essa
ging
sem
antic
s on
top
of lo
w-
leve
l int
erac
tion
mod
aliti
es :
PU
SH
:e.
g. d
ynam
ic d
ata
inje
ctio
nP
ULL
: e.
g. m
onito
ring
RE
QU
ES
T/R
ES
PO
NS
E :
e.g.
dat
a in
terr
ogat
ion
TRA
NS
AC
TIO
N :
e.g.
ste
erin
gFI
LTE
RE
D M
ULT
ICA
ST:
e.g
. gro
up c
olla
bora
tion
Bui
lt on
top
of P
roje
ct J
XTA
Vin
cent
Mat
ossi
an 2
003
14/3
6
JXTA
: a fr
amew
ork
for p
2p a
pps
SU
N In
trodu
ced
JXTA
in A
pril
2001
M
otiv
atio
n is
pro
vide
d a
com
mon
pla
tform
fo
r p2p
Pro
ject
JX
TA d
efin
es6
Con
cept
s6
core
Pro
toco
lsA
Net
wor
k A
rchi
tect
ure
Com
mun
icat
ion
mod
els
(uni
cast
, pro
paga
te)
Vin
cent
Mat
ossi
an 2
003
15/3
6
Pro
ject
JX
TA: C
once
pts
Peer A
ny c
ompu
te-c
apab
le d
evic
e th
at “u
nder
stan
ds” a
sub
set o
f the
co
mm
on p
roto
cols
Peer
Gro
upA
gro
up o
f pee
rs th
at s
hare
sim
ilar i
nter
ests
Pipe
Com
mun
icat
ion
chan
nels
bet
wee
n pe
ers
Mod
ule
A g
ener
al b
ehav
ior d
escr
ibed
by
a pe
er o
r a p
eerg
roup
. JX
TA
sepa
rate
s th
e de
finiti
on o
f the
beh
avio
r fro
m it
s im
plem
enta
tion.
Adv
ertis
emen
tA
pub
lishe
d ne
utra
l doc
umen
t [X
ML]
des
crib
ing
a re
sour
ceSe
curit
yU
sing
sec
ure
sock
ets
for e
very
tran
smis
sion
. E
nfor
cing
mem
bers
hip
polic
ies
at e
very
pee
r
Vin
cent
Mat
ossi
an 2
003
16/3
6P
roje
ct J
XTA
: P
roto
cols
PDP
(Pee
r dis
cove
ry p
roto
col)
: use
d by
pee
rs to
adv
ertis
e th
eir o
wn
reso
urce
sPI
P(P
eer I
nfor
mat
ion
prot
ocol
) :
mon
itorin
g pe
ers
stat
us a
nd lo
adPB
P(P
ipe
Bin
ding
Pro
toco
l) : t
o es
tabl
ish
a vi
rtual
com
mun
icat
ion
chan
nel b
etw
een
peer
sPR
P(P
eer R
esol
ver P
roto
col)
: se
ndin
g an
d re
ceiv
ing
quer
ies
and
resp
onse
sR
VP(R
ende
zvou
s P
roto
col)
: to
prop
agat
e m
essa
ges
in a
pee
r gro
upER
P(E
ndpo
int R
outin
g P
roto
col)
: to
find
rout
es fr
om a
sou
rce
to a
de
stin
atio
n
Vin
cent
Mat
ossi
an 2
003
17/3
6
From
JX
TA to
Paw
nJX
TA P
rovi
des
core
cap
abili
ties
Publ
icat
ion:
endp
oint
s pu
blis
h un
ique
ly id
entif
ied
mes
sage
s.A
dver
tisem
ent:
Lang
uage
-inde
pend
ent d
ocum
ent d
escr
ibin
g a
reso
urce
C
achi
ng :
RV
pee
rs c
ache
adv
ertis
emen
ts m
ade
by e
very
end
poin
t and
mai
ntai
n co
nsis
tent
repl
icas
.R
outin
g :
path
to d
estin
atio
n is
det
erm
ined
by
the
near
est r
ende
zvou
s pe
erus
ing
the
endp
oint
rout
er p
roto
col
Paw
n ex
tend
s JX
TA to
pro
vide
Dis
trib
uted
obj
ect I
nter
actio
ns o
n to
p of
a p
eer-
to-p
eer s
ubst
rate
Ser
ializ
atio
n of
Obj
ects
to X
ML
stre
ams
Met
hod
invo
catio
n on
rem
ote
obje
cts
[RM
C]
Inte
rest
Sub
scrip
tion
Con
tent
-bas
ed in
form
atio
n di
ssem
inat
ion.
Eve
ry m
essa
ge c
arrie
s m
etad
ata
allo
win
g pe
ers
to re
gist
er in
tere
st o
n an
attr
ibut
e ba
sis.
Vin
cent
Mat
ossi
an 2
003
18/3
6
Paw
n co
ncep
tual
ove
rvie
w
Paw
n en
able
s an
d de
fines
ev
ery
part
of th
e fig
ure
on th
e rig
ht. T
his
figur
e ca
n be
read
as
:“P
eers
com
pose
mes
sage
s ha
ndle
d by
ser
vice
s th
roug
h sp
ecifi
c in
tera
ctio
n m
odal
ities
”
Vin
cent
Mat
ossi
an 2
003
19/3
6
Paw
n : c
ompo
nent
sad
verti
sem
ent
serv
ice
mec
hani
sm
Vin
cent
Mat
ossi
an 2
003
20/3
6
Paw
n: C
ompo
nent
s
Clie
nt P
eer:
Dep
loy
appl
icat
ions
for m
onito
ring
and
stee
ring
Col
labo
rate
with
oth
er p
eers
Ren
dezv
ous
Pee
rA
ll pe
ers
are
conn
ecte
d to
rend
ezvo
us fo
r dis
cove
ry.
Ren
dezv
ous
cach
e m
essa
ges.
D
ynam
ic m
essa
ge a
ggre
gatio
nA
pplic
atio
n P
eer
Pro
vide
s an
inte
rface
to th
e ap
plic
atio
n co
ntro
lsM
ay a
ct a
s a
prox
y fo
r rel
ayin
g qu
erie
s an
d re
spon
ses
Vin
cent
Mat
ossi
an 2
003
21/3
6
Paw
n: In
tera
ctio
ns
JXTA
com
mun
icat
ion
enab
led
thro
ugh:
Pip
es Syn
chro
nous
: blo
ckin
gA
sync
hron
ous:
non
blo
ckin
gR
esol
ver
End
-to-E
nd m
essa
ging
TCP
Stre
amD
atag
ram
pac
kets
Fi
ltere
d m
ultic
ast
Gro
up d
istri
butio
n
Paw
n se
rvic
es b
uild
on
thes
e co
mm
unic
atio
n m
echa
nism
s
Vin
cent
Mat
ossi
an 2
003
22/3
6
Paw
n: S
ervi
ces
App
licat
ion
Exe
cutio
n [A
EX
]S
tart,
sto
p an
d ge
t sta
tus
of A
pplic
atio
nsA
pplic
atio
n M
onito
ring
and
Ste
erin
g [A
MS
]A
pplic
atio
n qu
eryi
ng a
nd m
anag
emen
tA
pplic
atio
n R
untim
e an
d C
ontro
l [A
RC
]P
ublis
hes
appl
icat
ion
resp
onse
s an
d st
atus
Rem
ote
Met
hod
Cal
ls [R
MC
]P
rovi
des
sync
hron
ous/
asyn
chro
nous
RP
C c
alls
in a
pla
tform
an
d la
ngua
ge in
depe
nden
t man
ner
Gro
up c
omm
unic
atio
nH
andl
es te
xt m
essa
ges
betw
een
grou
ps o
f clie
nts
Vin
cent
Mat
ossi
an 2
003
23/3
6
Paw
n: A
MS
, AE
X, G
roup
com
mun
icat
ion
Ser
vice
s
Bui
ld o
n JX
TA’s
Res
olve
rse
rvic
eX
ML
Mes
sage
s co
ntai
nD
estin
atio
n, s
ourc
e,
appl
icat
ion
id, q
uery
ID,
quer
yTyp
e, u
niqu
e H
andl
er n
ame
Rel
iabi
lity
prov
ided
by
cach
ing
AR
C p
rovi
des
AP
I to
anno
unce
App
licat
ion
send
App
Res
pons
epu
blis
hUpd
ateM
essa
geno
tifyE
ndA
pplic
atio
nA
MS
pro
vide
s A
PI f
orse
ndA
ppR
eque
st
Vin
cent
Mat
ossi
an 2
003
24/3
6
Paw
n: A
RC
and
RM
C S
ervi
ces
RM
C b
uild
s on
non
-bl
ocki
ng J
XTA
pip
esD
efin
es a
n X
ML
inte
rface
to
the
rem
ote
met
hod
call
Use
s m
essa
ge q
ueue
s fo
r ord
erin
gM
essa
ges
carr
y un
ique
id
entif
iers
to m
aint
ain
cons
iste
nt, c
oord
inat
ed
appl
icat
ion
even
ts
Vin
cent
Mat
ossi
an 2
003
25/3
6
Sce
nario
: Aut
onom
ic o
il re
serv
oir o
ptim
izat
ion
Vin
cent
Mat
ossi
an 2
003
26/3
6
Sce
nario
: Act
ors
IPA
RS pa
ralle
l res
ervo
ir si
mul
atio
n fra
mew
ork
IPA
RS
Fact
ory
conf
igur
es in
stan
ces
of IP
AR
S s
imul
atio
nsde
ploy
s th
em o
n re
sour
ces
on th
e G
ridm
anag
es th
eir e
xecu
tion
VFS
A O
ptim
izat
ion
Opt
imiz
e th
e pl
acem
ents
of w
ells
and
the
inpu
ts (p
ress
ure,
tem
pera
ture
) to
IPA
RS
sim
ulat
ions
. E
cono
mic
Mod
elin
g S
ervi
ceU
ses
IPA
RS
sim
ulat
ions
out
puts
and
cur
rent
mar
ket p
aram
eter
s (o
il pr
ices
, cos
ts,
etc.
) to
com
pute
est
imat
ed re
venu
es fo
r a p
artic
ular
rese
rvoi
r con
figur
atio
n.
DIS
CO
VE
R C
lient
Por
tals
Pro
vide
the
expe
rts (s
cien
tists
, eng
inee
rs) w
ith c
olla
bora
tive
acce
ss to
the
othe
r pe
ers.
Vin
cent
Mat
ossi
an 2
003
27/3
6
Sce
nario
: P
eer D
eplo
ymen
t
Clie
nt a
uthe
ntic
ates
to th
e D
ISC
OV
ER
Ser
ver r
unni
ng G
lobu
sto
olki
t usi
ng G
SI
Onc
e au
then
ticat
ed C
lient
s ca
n de
ploy
IPA
RS
Fact
ory
and
VFS
A
optim
izat
ion
peer
s us
ing
Glo
bus
GR
AM
pro
toco
l on
avai
labl
e m
achi
nes
Vin
cent
Mat
ossi
an 2
003
28/3
6
Sce
nario
: P
eer D
isco
very
Pee
rs p
ublis
h ad
verti
sem
ents
des
crib
ing
thei
r ide
ntity
and
fu
nctio
nalit
ies
Usi
ng u
nder
lyin
g JX
TA D
isco
very
ser
vice
s, p
eers
dis
cove
r the
ad
verti
sem
ents
and
can
sta
rt in
tera
ctin
g
Vin
cent
Mat
ossi
an 2
003
29/3
6
Sce
nario
: Opt
imiz
atio
n P
roce
ss
VFS
A s
ends
a w
ell p
ositi
on g
uess
to IP
AR
SFa
ctor
yIP
AR
SFa
ctor
ych
ecks
in D
atab
ase
if gu
ess
has
alre
ady
been
run
If gu
ess
foun
d, re
sult
is re
turn
ed c
lient
s an
d ne
w g
uess
from
VFS
A is
gen
erat
edIf
not f
ound
an
IPA
RS
inst
ance
is ru
nIP
AR
S re
turn
s th
e no
rmal
ized
reve
nue
valu
e to
VFS
A O
ptim
izat
ion
Vin
cent
Mat
ossi
an 2
003
30/3
6
Sce
nario
: Pro
duct
ion
Run
for M
onito
ring
and
Ste
erin
g
Exp
erts
use
clie
nt p
orta
ls to
col
labo
rativ
ely
conn
ect t
o th
e ru
nnin
g ap
plic
atio
n, fo
r mon
itorin
g an
d st
eerin
g
Vin
cent
Mat
ossi
an 2
003
31/3
6
Exp
erim
enta
l set
up a
nd h
osts
con
figur
atio
ns
LAN
exp
erim
ents
Hos
ts C
onfig
urat
ions
LAN
Req
uest
/re
spon
se
WA
N25
6MB
Pen
tium
II
350
MH
zLi
nux-
Ker
nel 2
.5.3
1
LAN
&W
AN
256M
BP
entiu
m II
I 75
0 M
Hz
Win
dow
s X
P1
LAN
512M
BP
entiu
m
IV 1
.5
GH
z
Linu
x R
edH
at7.
220
Usa
ge
Mem
ory
Pro
cess
orO
S ty
pe#
of
node
s
WA
N e
xper
imen
ts
Rem
ote
Pee
rR
ende
zvou
s/R
elay
Loca
l Pee
r
LAN
Req
uest
/re
spon
se
Vin
cent
Mat
ossi
an 2
003
32/3
6
Res
ults
: R
ound
Trip
Tim
e LA
N
Com
mun
icat
ion
Tim
ing
on a
LAN
0
1000
2000
3000
4000
5000
6000
1050
01k
2k10
k50
k10
0k50
0k1M
Mes
sage
Siz
e (B
ytes
)
Time (ms)2
Pee
rs5
Pee
rs10
Pee
rs20
Pee
rs
App
licat
ion
peer
pus
hes
a re
spon
se u
sing
AR
C
20 c
lient
pee
rs a
ckno
wle
dge
the
resp
onse
usi
ng A
MS
The
diffe
renc
e be
twee
n 2
peer
s an
d 20
pee
rs re
mai
ns
cons
iste
nt o
ver t
he v
aryi
ng
mes
sage
siz
es e
valu
ated
The
syst
em is
sca
labl
e
Vin
cent
Mat
ossi
an 2
003
33/3
6
Res
ults
: Res
pons
e to
load
Com
parin
g co
re
JXTA
rend
ezvo
us to
P
awn
Ren
dezv
ous
usin
g M
essa
ge
Que
ues
Res
ults
sho
w th
at
JXTA
dro
ps
mes
sage
s w
hen
rece
ivin
g ov
er 1
00
sim
ulta
neou
s m
essa
ges
Paw
n us
es a
que
ue
to s
tore
and
sen
d m
essa
ges
Ren
dezv
ous
load
test
in L
AN
0
0.2
0.4
0.6
0.81
1.2
20
40
60
80
100
120
140
160
Num
ber
of M
essa
ges
Ratio of messages receivedJX
TAre
ndez
vous
PAW
Nre
ndez
vous
Vin
cent
Mat
ossi
an 2
003
34/3
6
Res
ults
: JX
TA p
ipe
and
Paw
n R
emot
e M
etho
d C
all
Paw
n R
emot
e M
etho
d C
all f
unct
iona
lity
adds
ov
erhe
ad to
cor
e JX
TA
pipe
s
This
tim
e ov
erhe
ad is
as
soci
ated
to th
e tim
e sp
ent i
n th
e re
mot
e ca
ll an
d th
e tim
e to
mar
shal
an
d un
mar
shal
the
invo
ked
mes
sage
s.
Ove
rhea
d of
PAW
N fo
r syn
chro
nous
co
mm
unic
atio
n
0
1000
2000
3000
4000
510
1520
2530
Num
ber o
f Syn
chro
nous
M
essa
ges
Round Trip Time (ms)
JXTA
Pip
es
PA
WN
Rem
ote
Met
hod
Cal
l
Vin
cent
Mat
ossi
an 2
003
35/3
6
Res
ults
: Mem
ory
Add
ition
al s
ervi
ces
do n
ot a
dd s
ever
e ov
erhe
ad
com
pare
d to
cor
e JX
TA lo
ad in
m
emor
y
Not
e th
at C
lient
ov
erhe
ad is
due
to
load
ing
the
porta
l gr
aphi
cal
com
pone
nts
JXTA
+PAW
N m
emor
y re
quire
men
ts
2525
3035
45
05101520253035404550
Peer
Typ
e
Size (MB)JX
TA C
ore
Rend
ezV
ous
Peer
PAW
N Ip
ars
Fact
ory
[Rem
ote
Met
hod
Call]
PAW
N A
ppSe
rver
[AEX
,Rem
ote
Met
hod
Call]
PAW
N Cl
ient
[AM
S,A
RC,C
olla
bora
tion]
Vin
cent
Mat
ossi
an 2
003
36/3
6
Con
clus
ions
and
futu
re w
ork
Col
labo
rato
ries
requ
ire P
2P m
essa
ging
in o
rder
to
sca
le a
nd b
e tru
ly d
ynam
icP
awn
is a
p2p
mes
sagi
ng th
at p
rovi
des
inte
ract
ion
for m
onito
ring
and
stee
ring
Pre
sent
ed d
esig
n re
quire
men
ts in
term
s of
se
rvic
es a
nd m
echa
nism
sP
rese
nted
the
use
of P
awn
for t
he o
il re
serv
oir
optim
izat
ion
proc
ess
We
are
look
ing
at e
xten
ding
this
initi
al e
ffort
tow
ards
an
auto
nom
ic c
ompu
ting
fram
ewor
k
Vin
cent
Mat
ossi
an 2
003
37/3
6
web
link
s
Paw
n’s
web
pag
e ht
tp://
ww
w.c
aip.
rutg
ers.
edu/
~vin
cent
m/P
awn
Pro
ject
JX
TAht
tp://
ww
w.jx
ta.o
rgO
’Rei
lly p
2p w
eb s
iteht
tp://
ww
w.o
penp
2p.c
omB
rend
onW
ilson
’s b
ook
on J
XTA
http
://w
ww
.bre
ndon
wils
on.c
om
