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Table 1. Graphical notation and semantics for channels and nodes
Channel name Graphical notation
Constraint automaton
Sync
A
B
{A, B} d A = d B
LossySync
A
B
{A}
{A, B} d A = d B
A
B
{A, B}
SyncDrain
{B}
{A}
AsyncDrain
A
B
{A} d A =1
{A} d A =0
FIFO
A
B
{B} d B =1
{B} d B =0
{A}¬expr ( d A )
{A, B} expr ( d A ) ∧ d A = d B
Filter
A
B
{A, B} d B = f ( d A )
Trans form
A
B
A
B
{A, C} d A = d C
{B,C} d B = d C
Merger
C
B
C
{A, B, C} d A = d B = d C
Replicator
A
Mixed nodes combine both behaviors by atomically consuming a data item from
one sink end at the time and replicating it to all source ends.
Semantics of Reo can be given in terms of constraint automata [2]. The transi-
tions in constraint automata are labeled with sets of synchronously firing ports,
as well as with data constraints on these ports, if desired. Table 1 depicts the
graphical notation and the constraint automata semantics for the basic chan-
nels and of the Merger and Replicator primitives, which can be used to construct
nodes. For example, the constraint automaton for the lossy sync either has flow
on ports A and B involving the same data value (right self-loop) or has flow on
port A only, without further conditions (left self-loop). Note that the constraint
automaton shown for the FIFO is with respect to the data domain Data =
{
0 , 1
}
.
Formally, constraint automata are defined as follows.
Definition 1.
A constraint automaton
A
=( S,
N
,
,s 0 ) consists of a set of
2 N ×
states S , a set of port names
S ,
where DC is the set of data constraints over a finite data domain Data, and an
initial state s 0
N
, a transition relation
→⊆
S
×
DC
×
S .
For a comprehensive discussion of the constraint automata semantics of Reo we
refer to [2]. The intuitive idea of constraint automata is that if the data constraint
is satisfied, the corresponding transition can fire and data flow is observed at
the given ports. We write s
N
t , without constraint, for a transition indicating
that while going from the state s to the state t , flow is observed at the ports in
the set N .
 
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