Examples with StagedSolvingStatistics org.btrplace.scheduler.choco.runner.StagedSolvingStatistics used on opensource projects

Example 1 with StagedSolvingStatistics

use of org.btrplace.scheduler.choco.runner.StagedSolvingStatistics in project scheduler by btrplace.

the class DefaultChocoScheduler method solve.

@Override
public ReconfigurationPlan solve(Instance i) throws SchedulerException {
    Model mo = i.getModel();
    Collection<SatConstraint> cstrs = i.getSatConstraints();
    // If a network view is attached, ensure that all the migrations' destination node are defined
    Network net = Network.get(mo);
    stages = null;
    if (net != null) {
        // The network view is useless to take placement decisions
        mo.detach(net);
        // Solve a first time using placement oriented MinMTTR optimisation constraint
        ReconfigurationPlan p = runner.solve(params, i);
        stages = new StagedSolvingStatistics(runner.getStatistics());
        if (p == null) {
            return null;
        }
        // Add Fence constraints for each destination node chosen
        List<SatConstraint> newCstrs = p.getActions().stream().filter(a -> a instanceof MigrateVM).map(a -> new Fence(((MigrateVM) a).getVM(), Collections.singleton(((MigrateVM) a).getDestinationNode()))).collect(Collectors.toList());
        Model result = p.getResult();
        if (result == null) {
            throw new InconsistentSolutionException(mo, p, "The plan cannot be applied");
        }
        // Add Root constraints to all staying VMs
        newCstrs.addAll(mo.getMapping().getRunningVMs().stream().filter(v -> p.getOrigin().getMapping().getVMLocation(v).id() == result.getMapping().getVMLocation(v).id()).map(Root::new).collect(Collectors.toList()));
        // Add the old constraints
        newCstrs.addAll(cstrs);
        // Re-attach the network view
        mo.attach(net);
        // New timeout value = elapsed time - initial timeout value
        Parameters ps = new DefaultParameters(params);
        if (ps.getTimeLimit() > 0) {
            // in seconds
            double timeout = params.getTimeLimit() - runner.getStatistics().getMetrics().timeCount() / 1000;
            ps.setTimeLimit((int) timeout);
        }
        return runner.solve(ps, new Instance(mo, newCstrs, i.getOptConstraint()));
    }
    // Solve and return the computed plan
    return runner.solve(params, new Instance(mo, cstrs, i.getOptConstraint()));
}