fj_serialfjs_closed.m

clear solver AvgTable;
 
%clearvars -except exampleName;
model = Network('model');
 
% source = Source(model,'Source');
delay = Delay(model, 'Delay1');
queue1 = Queue(model,'Queue1',SchedStrategy.PS);
queue2 = Queue(model,'Queue2',SchedStrategy.PS);
fork = Fork(model,'Fork');
join = Join(model,'Join', fork);
queue3 = Queue(model,'Queue3',SchedStrategy.PS);
queue4 = Queue(model,'Queue4',SchedStrategy.PS);
fork2 = Fork(model,'Fork2');
join2 = Join(model,'Join2', fork2);
% sink = Sink(model,'Sink');
 
jobclass1 = ClosedClass(model, 'class1', 10, delay, 0);
 
% source.setArrival(jobclass1, Exp(0.5));
queue1.setService(jobclass1, Exp(1.0));
queue2.setService(jobclass1, Exp(1.0));
delay.setService(jobclass1, Exp(0.5));
queue3.setService(jobclass1, Exp(1.0));
queue4.setService(jobclass1, Exp(1.0));
 
P = zeros(5);
% P(source,fork) = 1;
P(delay, fork) = 1.0;
P(fork,queue1) = 1.0;
P(fork,queue2) = 1.0;
P(queue1,join) = 1.0;
P(queue2,join) = 1.0;
P(join,fork2) = 1.0;
P(fork2,queue3) = 1.0;
P(fork2,queue4) = 1.0;
P(queue3,join2) = 1.0;
P(queue4,join2) = 1.0;
P(join2,delay) = 1.0;
 
model.link(P);
 
solver = {};
solver{end+1} = JMT(model,'seed',23000);
solver{end+1} = MVA(model);
%solver{end+1} = DES(model,'seed',23000);
 
AvgTable = {};
for s=1:length(solver)
    AvgTable{end+1} = solver{s}.getAvgTable;
    AvgTable{s}
end