buildLayersRecursive.m

function  buildLayersRecursive(self, idx, callers, ishostlayer)
lqn = self.lqn;
jobPosKey = zeros(lqn.nidx,1);
curClassKey = cell(lqn.nidx,1);
% Fan-out check: when all callers have fan-out >= nreplicas for this task,
% each replica sees the full caller traffic (fork-join semantics).
% Model a single representative replica; updateThinkTimes multiplies by K.
% For host layers: if all caller tasks have the same replication as the host,
% the host is co-replicated with the task, so also use single-replica modeling.
rawReplicas = lqn.repl(idx);
reduceFanout = false;
if rawReplicas > 1 && ~isempty(callers)
    if ~ishostlayer && isfield(lqn, 'fanout') && ~isempty(lqn.fanout)
        reduceFanout = true;
        for c = callers(:)'
            if lqn.fanout(c, idx) < rawReplicas
                reduceFanout = false;
                break;
            end
        end
    elseif ishostlayer
        reduceFanout = true;
        for c = callers(:)'
            if lqn.repl(c) ~= rawReplicas
                reduceFanout = false;
                break;
            end
        end
    end
end
if reduceFanout
    nreplicas = 1;
    if ~ishostlayer
        self.singleReplicaTasks(end+1) = idx;
    end
else
    nreplicas = rawReplicas;
end
%mult = lqn.mult;
mult = lqn.maxmult; % this removes spare capacity that cannot be used
lqn.mult = mult;
callservtproc = self.callservtproc;
model = Network(lqn.hashnames{idx});
model.setChecks(false); % fast mode
model.attribute = struct('hosts',[],'tasks',[],'entries',[],'activities',[],'calls',[],'serverIdx',0);
if ishostlayer | any(any(lqn.issynccaller(callers, lqn.entriesof{idx}))) | any(any(lqn.isasynccaller(callers, lqn.entriesof{idx}))) %#ok<OR2>
    clientDelay = Delay(model, 'Clients');
    model.attribute.clientIdx = 1;
    model.attribute.serverIdx = 2;
    model.attribute.sourceIdx = NaN;
else
    model.attribute.serverIdx = 1;
    model.attribute.clientIdx = NaN;
    model.attribute.sourceIdx = NaN;
end
serverStation = cell(1,nreplicas);
isfunctionlayer = all(lqn.isfunction(callers)) && ishostlayer;
for m=1:nreplicas
    if m == 1
        serverStation{m} = Queue(model,lqn.hashnames{idx}, lqn.sched(idx));
    else
        serverStation{m} = Queue(model,[lqn.hashnames{idx},'.',num2str(m)], lqn.sched(idx));
    end
    serverStation{m}.setNumberOfServers(mult(idx));
    serverStation{m}.attribute.ishost = ishostlayer;
    serverStation{m}.attribute.idx = idx;
    % LQN successive activities on the same host retain the server: model
    % the resulting class-switching self-loops as immediate feedback so the
    % simulator does not re-queue the job behind other waiting jobs.
    serverStation{m}.setImmediateFeedback(true);
end
 
iscachelayer = all(lqn.iscache(callers)) && ishostlayer;
hasRetrievalCache = false;
retrievalStation = [];
if iscachelayer
    cacheNode = Cache(model, lqn.hashnames{callers}, lqn.nitems(callers), lqn.itemcap{callers}, lqn.replacestrat(callers));
    % Delayed-hit retrieval: a dedicated fetch station in the cache sublayer so the
    % closed AMVA (da_cacheqn_retrieval) captures the finite-population coalescing.
    hasRetrievalCache = isfield(lqn,'hasretrieval') && any(lqn.hasretrieval(callers));
    if hasRetrievalCache
        retrievalStation = Queue(model, [lqn.hashnames{callers},'.Fetch'], SchedStrategy.PS);
    end
end
retrievalWiring = [];
 
actsInCaller = [lqn.actsof{callers}];
isPostAndAct = full(lqn.actposttype)==ActivityPrecedenceType.POST_AND;
isPreAndAct = full(lqn.actpretype)==ActivityPrecedenceType.PRE_AND;
hasfork = any(intersect(find(isPostAndAct),actsInCaller));
 
maxfanout = 1; % maximum output parallelism level of fork nodes
for aidx = actsInCaller(:)'
    successors = find(lqn.graph(aidx,:));
    if any(isPostAndAct(successors))
        maxfanout = max(maxfanout, sum(isPostAndAct(successors)));
    end
end
 
if hasfork
    forkNode = Fork(model, 'Fork_PostAnd');
    for f=1:maxfanout
        forkOutputRouter{f} = Router(model, ['Fork_PostAnd_',num2str(f)]);
    end
    forkClassStack = []; % stack with the entry class at the visited forks, the last visited is end of the list.
end
 
isPreAndAct = full(lqn.actpretype)==ActivityPrecedenceType.PRE_AND;
hasjoin = any(isPreAndAct(actsInCaller));
if hasjoin
    joinNode = Join(model, 'Join_PreAnd', forkNode);
end
 
aidxClass = cell(1, lqn.nidx);
aidxThinkClass = cell(1, lqn.nidx); % auxiliary classes for activity think-time
cidxClass = cell(1,0);
cidxAuxClass = cell(1,0);
 
self.servt_classes_updmap{idx} = zeros(0,4); % [modelidx, actidx, node, class] % server classes to update
self.thinkt_classes_updmap{idx} = zeros(0,4); % [modelidx, actidx, node, class] % client classes to update
self.actthinkt_classes_updmap{idx} = zeros(0,4); % [modelidx, actidx, node, class] % activity think-time classes to update
self.arvproc_classes_updmap{idx} = zeros(0,4); % [modelidx, actidx, node, class] % classes to update in the next iteration for asynch calls
self.call_classes_updmap{idx} = zeros(0,4); % [modelidx, callidx, node, class] % calls classes to update in the next iteration (includes calls in client classes)
self.route_prob_updmap{idx} = zeros(0,7); % [modelidx, actidxfrom, actidxto, nodefrom, nodeto, classfrom, classto] % routing probabilities to update in the next iteration
 
if ishostlayer
    model.attribute.hosts(end+1,:) = [NaN, model.attribute.serverIdx ];
else
    model.attribute.tasks(end+1,:) = [NaN, model.attribute.serverIdx ];
end
 
hasSource = false; % flag whether a source is needed
openClasses = [];
entryOpenClasses = []; % track entry-level open arrivals
% first pass: create the classes
for tidx_caller = callers
    % For host layers, check if the task has any entries with sync/async callers
    % or has open arrivals, OR if any entry is a forwarding target.
    hasDirectCallers = false;
    isForwardingTarget = false;
    if ishostlayer
        % Check if the task is a reference task (always create closed class)
        if lqn.isref(tidx_caller)
            hasDirectCallers = true;
        else
            % Check if any entry of this task has sync or async callers
            for eidx = lqn.entriesof{tidx_caller}
                if any(full(lqn.issynccaller(:, eidx))) || any(full(lqn.isasynccaller(:, eidx)))
                    hasDirectCallers = true;
                    break;
                end
                % Also check for open arrivals on this entry
                if isfield(lqn, 'arrival') && ~isempty(lqn.arrival) && ...
                   iscell(lqn.arrival) && eidx <= length(lqn.arrival) && ...
                   ~isempty(lqn.arrival{eidx})
                    hasDirectCallers = true;
                    break;
                end
                % Check if this entry is a forwarding target
                for cidx = 1:lqn.ncalls
                    if full(lqn.calltype(cidx)) == CallType.FWD && full(lqn.callpair(cidx, 2)) == eidx
                        isForwardingTarget = true;
                        break;
                    end
                end
            end
        end
    end
    if (ishostlayer && (hasDirectCallers || isForwardingTarget)) | any(any(lqn.issynccaller(tidx_caller, lqn.entriesof{idx}))) %#ok<OR2> % if it is only an asynch caller the closed classes are not needed
        if self.njobs(tidx_caller,idx) == 0
            % for each entry of the calling task
            % determine job population
            % this block matches the corresponding calculations in
            % updateThinkTimes
            % Use single-replica njobs if this layer or the caller is in single-replica mode
            callerIsSingleReplica = reduceFanout || any(self.singleReplicaTasks == tidx_caller);
            if callerIsSingleReplica
                njobs = mult(tidx_caller);
            else
                njobs = mult(tidx_caller)*lqn.repl(tidx_caller);
            end
            if isinf(njobs)
                callers_of_tidx_caller = find(lqn.taskgraph(:,tidx_caller));
                njobs = sum(mult(callers_of_tidx_caller)); %#ok<FNDSB>
                if isinf(njobs)
                    % if also the callers of tidx_caller are inf servers, then use
                    % an heuristic
                    njobs = min(sum(mult(isfinite(mult)) .* lqn.repl(isfinite(mult))),1000); % Python parity: cap at 1000
                end
            end
            self.njobs(tidx_caller,idx) = njobs;
        else
            njobs = self.njobs(tidx_caller,idx);
        end
        caller_name = lqn.hashnames{tidx_caller};
        aidxClass{tidx_caller} = ClosedClass(model, caller_name, njobs, clientDelay);
        clientDelay.setService(aidxClass{tidx_caller}, Disabled.getInstance());
        for m=1:nreplicas
            serverStation{m}.setService(aidxClass{tidx_caller}, Disabled.getInstance());
        end
        aidxClass{tidx_caller}.completes = false;
        aidxClass{tidx_caller}.setReferenceClass(true); % renormalize residence times using the visits to the task
        aidxClass{tidx_caller}.attribute = [LayeredNetworkElement.TASK, tidx_caller];
        model.attribute.tasks(end+1,:) = [aidxClass{tidx_caller}.index, tidx_caller];
        clientDelay.setService(aidxClass{tidx_caller}, self.thinkproc{tidx_caller});
        if ~lqn.isref(tidx_caller)
            self.thinkt_classes_updmap{idx}(end+1,:) = [idx, tidx_caller, 1, aidxClass{tidx_caller}.index];
        end
        for eidx = lqn.entriesof{tidx_caller}
            % create a class
            aidxClass{eidx} = ClosedClass(model, lqn.hashnames{eidx}, 0, clientDelay);
            clientDelay.setService(aidxClass{eidx}, Disabled.getInstance());
            for m=1:nreplicas
                serverStation{m}.setService(aidxClass{eidx}, Disabled.getInstance());
            end
            aidxClass{eidx}.completes = false;
            aidxClass{eidx}.attribute = [LayeredNetworkElement.ENTRY, eidx];
            model.attribute.entries(end+1,:) = [aidxClass{eidx}.index, eidx];
            [singleton, javasingleton] = Immediate.getInstance();
            if isempty(model.obj)
                clientDelay.setService(aidxClass{eidx}, singleton);
            else
                clientDelay.setService(aidxClass{eidx}, javasingleton);
            end
 
            % Check for open arrival distribution on this entry
            if isfield(lqn, 'arrival') && ~isempty(lqn.arrival) && ...
               iscell(lqn.arrival) && eidx <= length(lqn.arrival) && ...
               ~isempty(lqn.arrival{eidx})
 
                if ~hasSource
                    hasSource = true;
                    model.attribute.sourceIdx = length(model.nodes)+1;
                    sourceStation = Source(model,'Source');
                    sinkStation = Sink(model,'Sink');
                end
 
                % Create open class for this entry
                openClassForEntry = OpenClass(model, [lqn.hashnames{eidx}, '_Open'], 0);
                sourceStation.setArrival(openClassForEntry, lqn.arrival{eidx});
                clientDelay.setService(openClassForEntry, Disabled.getInstance());
 
                % Use bound activity's service time (entries themselves have Immediate service)
                % Find activities bound to this entry via graph
                bound_act_indices = find(lqn.graph(eidx,:) > 0);
                if ~isempty(bound_act_indices)
                    % Use first bound activity's service time
                    bound_aidx = bound_act_indices(1);
                    for m=1:nreplicas
                        serverStation{m}.setService(openClassForEntry, self.servtproc{bound_aidx});
                    end
                else
                    % Fallback to entry service (should not happen in well-formed models)
                    for m=1:nreplicas
                        serverStation{m}.setService(openClassForEntry, self.servtproc{eidx});
                    end
                end
 
                % Track for routing setup later: [class_index, entry_index]
                entryOpenClasses(end+1,:) = [openClassForEntry.index, eidx];
 
                % Track: Use negative entry index to distinguish from call arrivals
                self.arvproc_classes_updmap{idx}(end+1,:) = [idx, -eidx, ...
                    model.getNodeIndex(sourceStation), openClassForEntry.index];
 
                openClassForEntry.completes = false;
                openClassForEntry.attribute = [LayeredNetworkElement.ENTRY, eidx];
            end
        end
    end
 
    % for each activity of the calling task
    for aidx = lqn.actsof{tidx_caller}
        if ishostlayer | any(any(lqn.issynccaller(tidx_caller, lqn.entriesof{idx}))) %#ok<OR2>
            % create a class
            aidxClass{aidx} = ClosedClass(model, lqn.hashnames{aidx}, 0, clientDelay);
            clientDelay.setService(aidxClass{aidx}, Disabled.getInstance());
            for m=1:nreplicas
                serverStation{m}.setService(aidxClass{aidx}, Disabled.getInstance());
            end
            aidxClass{aidx}.completes = false;
            aidxClass{aidx}.attribute = [LayeredNetworkElement.ACTIVITY, aidx];
            model.attribute.activities(end+1,:) = [aidxClass{aidx}.index, aidx];
            hidx = lqn.parent(lqn.parent(aidx)); % index of host processor
            if ~(ishostlayer && (hidx == idx))
                % set the host demand for the activity
                clientDelay.setService(aidxClass{aidx}, self.servtproc{aidx});
            end
            if lqn.sched(tidx_caller)~=SchedStrategy.REF % in 'ref' case the service activity is constant
                % updmap(end+1,:) = [idx, aidx, 1, idxClass{aidx}.index];
            end
            if iscachelayer && full(lqn.graph(eidx,aidx))
                clientDelay.setService(aidxClass{aidx}, self.servtproc{aidx});
            end
 
            % Auxiliary class carrying the activity think time, in the host layer
            % only. An activity think time is a delay in series with the host
            % demand, held at the activity's own task but not at the processor,
            % so the host layer needs it explicitly: the think time is time spent
            % at the task's server, which updateThinkTimes excludes from thinkt by
            % construction, and without it the task would recycle to the processor
            % too fast and overstate its utilization. Every other layer already
            % carries the delay inside servtproc{aidx} (set above), so adding the
            % class there too would charge the same delay twice at clientDelay.
            if ~isempty(lqn.actthink{aidx}) && lqn.actthink{aidx}.getMean() > GlobalConstants.FineTol ...
                    && (ishostlayer && (hidx == idx))
                aidxThinkClass{aidx} = ClosedClass(model, [lqn.hashnames{aidx},'.Think'], 0, clientDelay);
                aidxThinkClass{aidx}.completes = false;
                aidxThinkClass{aidx}.attribute = [LayeredNetworkElement.ACTIVITY, aidx];
                clientDelay.setService(aidxThinkClass{aidx}, lqn.actthink{aidx});
                for m=1:nreplicas
                    serverStation{m}.setService(aidxThinkClass{aidx}, Disabled.getInstance());
                end
                self.actthinkt_classes_updmap{idx}(end+1,:) = [idx, aidx, 1, aidxThinkClass{aidx}.index];
            end
        end
        % add a class for each outgoing call from this activity
        for cidx = lqn.callsof{aidx}
            callmean(cidx) = lqn.callproc{cidx}.getMean;
            switch lqn.calltype(cidx)
                case CallType.ASYNC
                    if lqn.parent(lqn.callpair(cidx,2)) == idx % add only if the target is serverStation
                        if ~hasSource % we need to add source and sink to the model
                            hasSource = true;
                            model.attribute.sourceIdx = length(model.nodes)+1;
                            sourceStation = Source(model,'Source');
                            sinkStation = Sink(model,'Sink');
                        end
                        cidxClass{cidx} = OpenClass(model, lqn.callhashnames{cidx}, 0);
                        sourceStation.setArrival(cidxClass{cidx}, Immediate.getInstance());
                        clientDelay.setService(cidxClass{cidx}, Disabled.getInstance());
                        for m=1:nreplicas
                            serverStation{m}.setService(cidxClass{cidx}, Immediate.getInstance());
                        end
                        openClasses(end+1,:) = [cidxClass{cidx}.index, callmean(cidx), cidx];
                        model.attribute.calls(end+1,:) = [cidxClass{cidx}.index, cidx, lqn.callpair(cidx,1), lqn.callpair(cidx,2)];
                        cidxClass{cidx}.completes = false;
                        cidxClass{cidx}.attribute = [LayeredNetworkElement.CALL, cidx];
                        minRespT = 0;
                        for tidx_act = lqn.actsof{idx}
                            minRespT = minRespT + lqn.hostdem{tidx_act}.getMean; % upper bound, uses all activities not just the ones reachable by this entry
                        end
                        for m=1:nreplicas
                            serverStation{m}.setService(cidxClass{cidx}, Exp.fitMean(minRespT));
                        end
                    end
                case CallType.SYNC
                    cidxClass{cidx} = ClosedClass(model, lqn.callhashnames{cidx}, 0, clientDelay);
                    clientDelay.setService(cidxClass{cidx}, Disabled.getInstance());
                    for m=1:nreplicas
                        serverStation{m}.setService(cidxClass{cidx}, Disabled.getInstance());
                    end
                    model.attribute.calls(end+1,:) = [cidxClass{cidx}.index, cidx, lqn.callpair(cidx,1), lqn.callpair(cidx,2)];
                    cidxClass{cidx}.completes = false;
                    cidxClass{cidx}.attribute = [LayeredNetworkElement.CALL, cidx];
                    minRespT = 0;
                    for tidx_act = lqn.actsof{idx}
                        minRespT = minRespT + lqn.hostdem{tidx_act}.getMean; % upper bound, uses all activities not just the ones reachable by this entry
                    end
                    for m=1:nreplicas
                        serverStation{m}.setService(cidxClass{cidx}, Exp.fitMean(minRespT));
                    end
            end
 
            if callmean(cidx) ~= nreplicas
                switch lqn.calltype(cidx)
                    case CallType.SYNC
                        cidxAuxClass{cidx} = ClosedClass(model, [lqn.callhashnames{cidx},'.Aux'], 0, clientDelay);
                        cidxAuxClass{cidx}.completes = false;
                        cidxAuxClass{cidx}.attribute = [LayeredNetworkElement.CALL, cidx];
                        clientDelay.setService(cidxAuxClass{cidx}, Immediate.getInstance());
                        for m=1:nreplicas
                            serverStation{m}.setService(cidxAuxClass{cidx}, Disabled.getInstance());
                        end
                end
            end
 
            % Forwarding chains are represented by caller-side pseudo
            % rendezvous calls added by lqn_fwd_rendezvous (LQNS phase.cc
            % port), which are ordinary SYNC calls handled above; FWD calls
            % need no classes in the layers.
        end
    end
end
 
% Ensure Source's sourceClasses and arrivalProcess arrays are properly sized for all classes
% This is needed because the Source may be created during class iteration
% when only some classes exist, and new closed classes added afterwards
% won't have corresponding entries in sourceClasses/arrivalProcess
if hasSource
    nClasses = model.getNumberOfClasses();
    for k = 1:nClasses
        if k > length(sourceStation.input.sourceClasses) || isempty(sourceStation.input.sourceClasses{k})
            sourceStation.input.sourceClasses{k} = {[], ServiceStrategy.LI, Disabled.getInstance()};
        end
        if k > length(sourceStation.arrivalProcess) || isempty(sourceStation.arrivalProcess{k})
            sourceStation.arrivalProcess{k} = Disabled.getInstance();
        end
    end
end
 
P = model.initRoutingMatrix;
if hasSource
    for o = 1:size(openClasses,1)
        oidx = openClasses(o,1);
        p = 1 / openClasses(o,2); % divide by mean number of calls, they go to a server at random
        for m=1:nreplicas
            P{model.classes{oidx}, model.classes{oidx}}(sourceStation,serverStation{m}) = 1/nreplicas;
            for n=1:nreplicas
                P{model.classes{oidx}, model.classes{oidx}}(serverStation{m},serverStation{n}) = (1-p)/nreplicas;
            end
            P{model.classes{oidx}, model.classes{oidx}}(serverStation{m},sinkStation) = p;
        end
        cidx = openClasses(o,3); % 3 = source
        self.arvproc_classes_updmap{idx}(end+1,:) = [idx, cidx, model.getNodeIndex(sourceStation), oidx];
        for m=1:nreplicas
            self.call_classes_updmap{idx}(end+1,:) = [idx, cidx, model.getNodeIndex(serverStation{m}), oidx];
        end
    end
end
 
%% job positions are encoded as follows: 1=client, 2=any of the nreplicas server stations, 3=cache node, 4=fork node, 5=join node
atClient = 1;
atServer = 2;
atCache = 3;
 
jobPos = atClient; % start at client
% second pass: setup the routing out of entries
for tidx_caller = callers
    % Use same condition as first pass - only process if closed class was created
    hasDirectCallers = false;
    isForwardingTarget = false;
    if ishostlayer
        if lqn.isref(tidx_caller)
            hasDirectCallers = true;
        else
            for eidx_check = lqn.entriesof{tidx_caller}
                if any(full(lqn.issynccaller(:, eidx_check))) || any(full(lqn.isasynccaller(:, eidx_check)))
                    hasDirectCallers = true;
                    break;
                end
                if isfield(lqn, 'arrival') && ~isempty(lqn.arrival) && ...
                   iscell(lqn.arrival) && eidx_check <= length(lqn.arrival) && ...
                   ~isempty(lqn.arrival{eidx_check})
                    hasDirectCallers = true;
                    break;
                end
                % Check if this entry is a forwarding target
                for cidx_fwd = 1:lqn.ncalls
                    if full(lqn.calltype(cidx_fwd)) == CallType.FWD && full(lqn.callpair(cidx_fwd, 2)) == eidx_check
                        isForwardingTarget = true;
                        break;
                    end
                end
            end
        end
    end
    if (ishostlayer && (hasDirectCallers || isForwardingTarget)) | any(any(lqn.issynccaller(tidx_caller, lqn.entriesof{idx}))) %#ok<OR2>
        % for each entry of the calling task
        ncaller_entries = length(lqn.entriesof{tidx_caller});
        for eidx = lqn.entriesof{tidx_caller}
            aidxClass_eidx = aidxClass{eidx};
            aidxClass_tidx_caller = aidxClass{tidx_caller};
            % initialize the probability to select an entry to be identical
            P{aidxClass_tidx_caller, aidxClass_eidx}(clientDelay, clientDelay) = 1 / ncaller_entries;
            if ncaller_entries > 1
                % at successive iterations make sure to replace this with throughput ratio
                self.route_prob_updmap{idx}(end+1,:) = [idx, tidx_caller, eidx, 1, 1, aidxClass_tidx_caller.index, aidxClass_eidx.index];
            end
            P = recurActGraph(P, tidx_caller, eidx, aidxClass_eidx, jobPos);
        end
    end
end
 
% Setup routing for entry-level open arrivals (AFTER recurActGraph to avoid being overwritten)
if hasSource && ~isempty(entryOpenClasses)
    for e = 1:size(entryOpenClasses,1)
        eoidx = entryOpenClasses(e,1); % class index
        openClass = model.classes{eoidx};
 
        % Explicitly set routing: ONLY Source → Server → Sink
        % Zero out all routing for this class first
        for node1 = 1:length(model.nodes)
            for node2 = 1:length(model.nodes)
                P{openClass, openClass}(node1, node2) = 0;
            end
        end
 
        % Now set the correct routing
        for m=1:nreplicas
            % Route: Source → ServerStation → Sink
            P{openClass, openClass}(sourceStation,serverStation{m}) = 1/nreplicas;
            P{openClass, openClass}(serverStation{m},sinkStation) = 1.0;
        end
    end
end
 
% Re-normalize Source class arrays: routing may have appended synthetic
% classes (e.g. FwdMerge exit classes) after the earlier sizing pass, and
% refreshRates indexes sourceClasses/arrivalProcess by class index.
if hasSource
    nClasses = model.getNumberOfClasses();
    for k = 1:nClasses
        if k > length(sourceStation.input.sourceClasses) || isempty(sourceStation.input.sourceClasses{k})
            sourceStation.input.sourceClasses{k} = {[], ServiceStrategy.LI, Disabled.getInstance()};
        end
        if k > length(sourceStation.arrivalProcess) || isempty(sourceStation.arrivalProcess{k})
            sourceStation.arrivalProcess{k} = Disabled.getInstance();
        end
    end
end
 
% Delayed-hit retrieval: attach the fetch station now that all activity classes
% exist. The read class circulates cache<->fetch (the retrieval-class template);
% da_cacheqn_retrieval rebuilds the specifics at solve time. Fetch service = the
% miss activity's full service (host demand + backend call), current because
% buildLayers is re-run each LN iteration.
%
% EXPERIMENTAL - FURTHER WORK NEEDED. This wiring makes LN(MVA)/LN(NC) produce the
% correct cache hit/miss PROBABILITIES for LCQ models with retrieval and captures
% the coalescing throughput benefit in DIRECTION only (understated magnitude vs
% LDES; the delayed-hit fraction is not recovered - see da_cacheqn_retrieval
% LIMITATIONS). It is also workaround-heavy: setRetrievalSystem mints per-item
% retrieval classes that violate the LN sublayer-class == LQN-activity invariant,
% so the block below must (defer setRetrievalSystem, grow P, pad hitClass/services,
% tag the retrieval classes auxiliary) to keep the LN bookkeeping consistent. A
% cleaner refactor and a JAR/Python port remain open.
if hasRetrievalCache && ~isempty(retrievalWiring)
    retrievalStation.setService(retrievalWiring.readClass, self.servtproc{retrievalWiring.missaidx});
    P{retrievalWiring.readClass, retrievalWiring.readClass}(cacheNode, retrievalStation) = 1.0;
    P{retrievalWiring.readClass, retrievalWiring.readClass}(retrievalStation, cacheNode) = 1.0;
    cacheNode.setRetrievalSystem(retrievalWiring.readClass, retrievalWiring.missClass, retrievalStation);
    % Tag the auto-generated retrieval classes as auxiliary: give them a non-LQN
    % attribute and completes=false so the LN result aggregation (getEnsembleAvg)
    % skips them (they map to no LQN activity), mirroring how the flat node table
    % hides *_retrievalClass_* classes.
    rcvals = unique(cacheNode.server.retrievalClasses(:));
    rcvals = rcvals(rcvals > 0);
    for rci = rcvals(:)'
        model.classes{rci}.attribute = [-1, -1];
        model.classes{rci}.completes = false;
    end
    % setRetrievalSystem extends missClass for the new retrieval classes but leaves
    % hitClass shorter; pad both to equal length so the hitClass==missClass check in
    % link (and downstream class-vector ops) does not hit a size mismatch.
    hc = cacheNode.server.hitClass; mc = cacheNode.server.missClass;
    Lhm = max(numel(hc), numel(mc));
    if numel(hc) < Lhm, hc(numel(hc)+1:Lhm) = 0; cacheNode.server.hitClass = hc; end
    if numel(mc) < Lhm, mc(numel(mc)+1:Lhm) = 0; cacheNode.server.missClass = mc; end
    % Pad every station's service to the new class count: the auto-generated
    % retrieval classes are served only at the fetch station, so disable them
    % elsewhere (otherwise serviceProcess{r} indexing overruns downstream).
    KfullSvc = model.getNumberOfClasses;
    for istp = 1:numel(model.stations)
        stp = model.stations{istp};
        if isprop(stp,'server') && ~strcmpi(class(stp.server),'ServiceTunnel')
            for rp = 1:KfullSvc
                if numel(stp.server.serviceProcess) < rp || isempty(stp.server.serviceProcess{rp})
                    stp.setService(model.classes{rp}, Disabled.getInstance());
                end
            end
        end
    end
    % setRetrievalSystem adds per-item retrieval classes; grow P to the new class
    % count (empty routing for the retrieval classes - their circulation is applied
    % by getStruct from the read class's cache<->fetch template) so link does not
    % index past P. P is a RoutingMatrix object; convert to a cell first (link
    % accepts a cell).
    Kfull = model.getNumberOfClasses;
    Icur = model.getNumberOfNodes;
    if isa(P, 'RoutingMatrix')
        Pc = P.getCell();
    else
        Pc = P;
    end
    if size(Pc, 1) < Kfull
        Pnew = cell(Kfull, Kfull);
        [ro, co] = size(Pc);
        Pnew(1:ro, 1:co) = Pc;
        for rr = 1:Kfull
            for ss = 1:Kfull
                if isempty(Pnew{rr, ss})
                    Pnew{rr, ss} = zeros(Icur, Icur);
                end
            end
        end
        Pc = Pnew;
    end
    P = Pc;
end
 
model.link(P);
self.ensemble{idx} = model;
 
    function [P, curClass, jobPos] = recurActGraph(P, tidx_caller, aidx, curClass, jobPos)
        jobPosKey(aidx) = jobPos;
        curClassKey{aidx} = curClass;
        nextaidxs = find(lqn.graph(aidx,:)); % these include the called entries
        if ~isempty(nextaidxs)
            isNextPrecFork(aidx) = any(isPostAndAct(nextaidxs)); % indexed on aidx to avoid losing it during the recursion
            % Save curClass/jobPos before fork branch loop so each branch
            % starts with the same pre-fork state (prevents curClass
            % corruption across parallel branches)
            if isNextPrecFork(aidx)
                forkSaveCurClass = curClass;
                forkSaveJobPos = jobPos;
            end
        end
 
        for nextaidx = nextaidxs % for all successor activities
            if ~isempty(nextaidx)
                % Restore pre-fork state for each branch iteration
                if isNextPrecFork(aidx)
                    curClass = forkSaveCurClass;
                    jobPos = forkSaveJobPos;
                end
                isLoop = false;
                % in the activity graph, the following if is entered only
                % by an edge that is the return from a LOOP activity
                if (lqn.graph(aidx,nextaidx) ~= lqn.dag(aidx,nextaidx))
                    isLoop = true;
                end
                if ~(lqn.parent(aidx) == lqn.parent(nextaidx)) % if different parent task
                    % if the successor activity is an entry of another task, this is a call
                    cidx = matchrow(lqn.callpair,[aidx,nextaidx]); % find the call index
                    switch lqn.calltype(cidx)
                        case CallType.ASYNC
                            % Async calls don't modify caller routing - caller continues immediately without blocking.
                            % Arrival rate at destination is handled via arvproc_classes_updmap (lines 170-195, 230-248).
                        case CallType.SYNC
                            [P, jobPos, curClass] = routeSynchCall(P, jobPos, curClass);
                        case CallType.FWD
                            % In the host layer, forwarding targets have their own
                            % jobs competing for the processor independently.
                            % The source task's job returns to think time after
                            % completing its own activities; no routing through
                            % the forwarding target's activities is needed.
                            % curClass and jobPos remain unchanged.
                    end
                else
                    % at this point, we have processed all calls, let us do the
                    % activities local to the task next
                    if isempty(intersect(lqn.eshift+(1:lqn.nentries), nextaidxs))
                        % if next activity is not an entry
                        jobPos = jobPosKey(aidx);
                        curClass = curClassKey{aidx};
                    else
                        if ismember(nextaidxs(find(nextaidxs==nextaidx)-1), lqn.eshift+(1:lqn.nentries))
                            curClassC = curClass;
                        end
                        jobPos = atClient;
                        curClass = curClassC;
                    end
                    if jobPos == atClient % at client node
                        if ishostlayer
                            if ~iscachelayer
                                for m=1:nreplicas
                                    if isNextPrecFork(aidx)
                                        % if next activity is a post-and
                                        P{curClass, curClass}(clientDelay, forkNode) = 1.0;
                                        f = find(nextaidx == nextaidxs(isPostAndAct(nextaidxs)));
                                        forkClassStack(end+1) = curClass.index;
                                        P{curClass, curClass}(forkNode, forkOutputRouter{f}) = 1.0;
                                        P{curClass, aidxClass{nextaidx}}(forkOutputRouter{f}, serverStation{m}) = 1.0;
                                    else
                                        if isPreAndAct(aidx)
                                            % before entering the job we go back to the entry class at the last fork
                                            forkClass = model.classes{forkClassStack(end)};
                                            forkClassStack(end) = [];
                                            P{curClass, forkClass}(clientDelay,joinNode) = 1.0;
                                            P{forkClass, aidxClass{nextaidx}}(joinNode,serverStation{m}) = 1.0;
                                        else
                                            P{curClass, aidxClass{nextaidx}}(clientDelay,serverStation{m}) = full(lqn.graph(aidx,nextaidx));
                                        end
                                    end
                                    serverStation{m}.setService(aidxClass{nextaidx}, lqn.hostdem{nextaidx});
                                    if isfunctionlayer
                                        % A FunctionTask defaults to an Immediate setup, which is
                                        % indistinguishable from no setup at all. Lowering it onto
                                        % the station would still mark the station as setup-bearing
                                        % (sn.isfunction, and the layer-solver choice in SolverLN),
                                        % sending the layer to the MAM setup QBD, where an Immediate
                                        % setup enters as a 1e8 rate whose chain collapses onto the
                                        % boundary level and qbd_setupdelayoff then overruns its
                                        % level index. Such a task is an ordinary queue.
                                        setupDist = lqn.setuptime{lqn.parent(nextaidx)};
                                        if ~isempty(setupDist) && ~isa(setupDist, 'Immediate') ...
                                                && setupDist.getMean() > GlobalConstants.FineTol
                                            serverStation{m}.setDelayOff(aidxClass{nextaidx}, setupDist, lqn.delayofftime{lqn.parent(nextaidx)});
                                        end
                                    end
                                end
                                jobPos = atServer;
                                curClass = aidxClass{nextaidx};
                                self.servt_classes_updmap{idx}(end+1,:) = [idx, nextaidx, 2, aidxClass{nextaidx}.index];
                                % The think time follows the host demand, in
                                % series: leave the processor and hold the task
                                % for it at the client delay. Keyed on the
                                % activity itself, so an activity that issues no
                                % call still passes through it; the previous
                                % routing sat in routeSynchCall and so was
                                % unreachable without an outgoing call.
                                if ~isempty(aidxThinkClass{nextaidx})
                                    for m=1:nreplicas
                                        P{curClass, aidxThinkClass{nextaidx}}(serverStation{m}, clientDelay) = 1.0;
                                    end
                                    curClass = aidxThinkClass{nextaidx};
                                    jobPos = atClient;
                                end
                            else
                                P{curClass, aidxClass{nextaidx}}(clientDelay,cacheNode) = full(lqn.graph(aidx,nextaidx));
 
                                cacheNode.setReadItemEntry(aidxClass{nextaidx},lqn.itemproc{aidx},lqn.nitems(aidx));
                                lqn.hitmissaidx = find(lqn.graph(nextaidx,:));
                                lqn.hitaidx = lqn.hitmissaidx(1);
                                lqn.missaidx = lqn.hitmissaidx(2);
 
                                cacheNode.setHitClass(aidxClass{nextaidx},aidxClass{lqn.hitaidx});
                                cacheNode.setMissClass(aidxClass{nextaidx},aidxClass{lqn.missaidx});
 
                                if hasRetrievalCache
                                    % Record the fetch-station wiring; setRetrievalSystem
                                    % adds per-item retrieval classes, so it is deferred to
                                    % after the activity-graph traversal (before link) to
                                    % avoid perturbing the class indexing mid-construction.
                                    retrievalWiring = struct('readClass', aidxClass{nextaidx}, ...
                                        'missClass', aidxClass{lqn.missaidx}, 'missaidx', lqn.missaidx);
                                end
 
                                jobPos = atCache; % cache
                                curClass = aidxClass{nextaidx};
                                %self.route_prob_updmap{idx}(end+1,:) = [idx, nextaidx, lqn.hitaidx, 3, 3, aidxClass{nextaidx}.index, aidxClass{lqn.hitaidx}.index];
                                %self.route_prob_updmap{idx}(end+1,:) = [idx, nextaidx, lqn.missaidx, 3, 3, aidxClass{nextaidx}.index, aidxClass{lqn.missaidx}.index];
                            end
                        else % not ishostlayer
                            if isNextPrecFork(aidx)
                                % if next activity is a post-and
                                P{curClass, curClass}(clientDelay, forkNode) = 1.0;
                                f = find(nextaidx == nextaidxs(isPostAndAct(nextaidxs)));
                                forkClassStack(end+1) = curClass.index;
                                P{curClass, curClass}(forkNode, forkOutputRouter{f}) = 1.0;
                                P{curClass, aidxClass{nextaidx}}(forkOutputRouter{f}, clientDelay) = 1.0;
                            else
                                if isPreAndAct(aidx)
                                    % before entering the job we go back to the entry class at the last fork
                                    forkClass = model.classes{forkClassStack(end)};
                                    forkClassStack(end) = [];
                                    P{curClass, forkClass}(clientDelay,joinNode) = 1.0;
                                    P{forkClass, aidxClass{nextaidx}}(joinNode,clientDelay) = 1.0;
                                else
                                    P{curClass, aidxClass{nextaidx}}(clientDelay,clientDelay) = full(lqn.graph(aidx,nextaidx));
                                end
                            end
                            jobPos = atClient;
                            curClass = aidxClass{nextaidx};
                            clientDelay.setService(aidxClass{nextaidx}, self.servtproc{nextaidx});
                            self.thinkt_classes_updmap{idx}(end+1,:) = [idx, nextaidx, 1, aidxClass{nextaidx}.index];
                        end
                    elseif jobPos == atServer || jobPos == atCache % at server station
                        if ishostlayer
                            if iscachelayer
                                curClass = aidxClass{nextaidx};
                                for m=1:nreplicas
                                    if isNextPrecFork(aidx)
                                        % if next activity is a post-and
                                        P{curClass, curClass}(cacheNode, forkNode) = 1.0;
                                        f = find(nextaidx == nextaidxs(isPostAndAct(nextaidxs)));
                                        forkClassStack(end+1) = curClass.index;
                                        P{curClass, curClass}(forkNode, forkOutputRouter{f}) = 1.0;
                                        P{curClass, aidxClass{nextaidx}}(forkOutputRouter{f}, serverStation{m}) = 1.0;
                                    else
                                        if isPreAndAct(aidx)
                                            % before entering the job we go back to the entry class at the last fork
                                            forkClass = model.classes{forkClassStack(end)};
                                            forkClassStack(end) = [];
 
                                            P{curClass, forkClass}(cacheNode,joinNode) = 1.0;
                                            P{forkClass, aidxClass{nextaidx}}(joinNode,serverStation{m}) = 1.0;
                                        else
                                            P{curClass, aidxClass{nextaidx}}(cacheNode,serverStation{m}) = full(lqn.graph(aidx,nextaidx));
                                        end
                                    end
                                    serverStation{m}.setService(aidxClass{nextaidx}, lqn.hostdem{nextaidx});
                                    %self.route_prob_updmap{idx}(end+1,:) = [idx, nextaidx, nextaidx, 3, 2, aidxClass{nextaidx}.index, aidxClass{nextaidx}.index];
                                end
                            else
                                for m=1:nreplicas
                                    if isNextPrecFork(aidx)
                                        % if next activity is a post-and
                                        P{curClass, curClass}(serverStation{m}, forkNode) = 1.0;
                                        f = find(nextaidx == nextaidxs(isPostAndAct(nextaidxs)));
                                        forkClassStack(end+1) = curClass.index;
                                        P{curClass, curClass}(forkNode, forkOutputRouter{f}) = 1.0;
                                        P{curClass, aidxClass{nextaidx}}(forkOutputRouter{f}, serverStation{m}) = 1.0;
                                    else
                                        if isPreAndAct(aidx)
                                            % before entering the job we go back to the entry class at the last fork
                                            forkClass = model.classes{forkClassStack(end)};
                                            forkClassStack(end) = [];
                                            P{curClass, forkClass}(serverStation{m},joinNode) = 1.0;
                                            P{forkClass, aidxClass{nextaidx}}(joinNode,serverStation{m}) = 1.0;
                                        else
                                            P{curClass, aidxClass{nextaidx}}(serverStation{m},serverStation{m}) = full(lqn.graph(aidx,nextaidx));
                                        end
                                    end
                                    serverStation{m}.setService(aidxClass{nextaidx}, lqn.hostdem{nextaidx});
                                end
                            end
                            jobPos = atServer;
                            curClass = aidxClass{nextaidx};
                            self.servt_classes_updmap{idx}(end+1,:) = [idx, nextaidx, 2, aidxClass{nextaidx}.index];
                        else
                            for m=1:nreplicas
                                if isNextPrecFork(aidx)
                                    % if next activity is a post-and
                                    P{curClass, curClass}(serverStation{m}, forkNode) = 1.0;
                                    f = find(nextaidx == nextaidxs(isPostAndAct(nextaidxs)));
                                    forkClassStack(end+1) = curClass.index;
                                    P{curClass, curClass}(forkNode, forkOutputRouter{f}) = 1.0;
                                    P{curClass, aidxClass{nextaidx}}(forkOutputRouter{f}, clientDelay) = 1.0;
                                else
                                    if isPreAndAct(aidx)
                                        % before entering the job we go back to the entry class at the last fork
                                        forkClass = model.classes{forkClassStack(end)};
                                        forkClassStack(end) = [];
                                        P{curClass, forkClass}(serverStation{m},joinNode) = 1.0;
                                        P{forkClass, aidxClass{nextaidx}}(joinNode,clientDelay) = 1.0;
                                    else
                                        P{curClass, aidxClass{nextaidx}}(serverStation{m},clientDelay) = full(lqn.graph(aidx,nextaidx));
                                    end
                                end
                            end
                            jobPos = atClient;
                            curClass = aidxClass{nextaidx};
                            clientDelay.setService(aidxClass{nextaidx}, self.servtproc{nextaidx});
                            self.thinkt_classes_updmap{idx}(end+1,:) = [idx, nextaidx, 1, aidxClass{nextaidx}.index];
                        end
                    end
                    if aidx ~= nextaidx && ~isLoop
                        %% now recursively build the rest of the routing matrix graph
                        [P, curClass, jobPos] = recurActGraph(P, tidx_caller, nextaidx, curClass, jobPos);
 
                        % At this point curClassRec is the last class in the
                        % recursive branch, which we now close with a reply
                        if jobPos == atClient
                            P{curClass, aidxClass{tidx_caller}}(clientDelay,clientDelay) = 1;
                            if ~strcmp(curClass.name(end-3:end),'.Aux')
                                curClass.completes = true;
                            end
                        else
                            for m=1:nreplicas
                                P{curClass, aidxClass{tidx_caller}}(serverStation{m},clientDelay) = 1;
                            end
                            if ~strcmp(curClass.name(end-3:end),'.Aux')
                                curClass.completes = true;
                            end
                        end
                    end
                end
            end
        end % nextaidx
    end
 
    function [P, jobPos, curClass] = routeSynchCall(P, jobPos, curClass)
        switch jobPos
            case atClient
                if lqn.parent(lqn.callpair(cidx,2)) == idx
                    % if a call to an entry of the server in this layer
                    if callmean(cidx) < nreplicas
                        P{curClass, cidxAuxClass{cidx}}(clientDelay,clientDelay) = 1 - callmean(cidx); % note that callmean(cidx) < nreplicas
                        for m=1:nreplicas
                            %                                if isNextPrecFork(aidx)
                            %                                end
                            %                                     % if next activity is a post-and
                            %                                     P{curClass, curClass}(serverStation{m}, forkNode) = 1.0;
                            %                                     forkStackClass(end+1) = curClass.index;
                            %                                     f = find(nextaidx == nextaidxs(isPostAndAct(nextaidxs)));
                            %                                     P{curClass, curClass}(forkNode, forkOutputRouter{f}) = 1.0;
                            %                                     P{curClass, aidxClass{nextaidx}}(forkOutputRouter{f}, clientDelay) = 1.0;
                            %                                 else
                            P{curClass, cidxClass{cidx}}(clientDelay,serverStation{m}) = callmean(cidx) / nreplicas;
                            P{cidxClass{cidx}, cidxClass{cidx}}(serverStation{m},clientDelay) = 1.0; % not needed, just to avoid leaving the Aux class disconnected
                        end
                        P{cidxAuxClass{cidx}, cidxClass{cidx}}(clientDelay,clientDelay) = 1.0; % not needed, just to avoid leaving the Aux class disconnected
                    elseif callmean(cidx) == nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(clientDelay,serverStation{m}) = 1 / nreplicas;
                            P{cidxClass{cidx}, cidxClass{cidx}}(serverStation{m},clientDelay) = 1.0;
                        end
                    else % callmean(cidx) > nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(clientDelay,serverStation{m}) = 1 / nreplicas;
                            P{cidxClass{cidx}, cidxAuxClass{cidx}}(serverStation{m},clientDelay) = 1.0  ;
                            P{cidxAuxClass{cidx}, cidxClass{cidx}}(clientDelay,serverStation{m}) = 1.0 - 1.0 / (callmean(cidx) / nreplicas);
                        end
                        P{cidxAuxClass{cidx}, cidxClass{cidx}}(clientDelay,clientDelay) = 1.0 / (callmean(cidx));
                    end
                    jobPos = atClient;
                    clientDelay.setService(cidxClass{cidx}, Immediate.getInstance());
                    for m=1:nreplicas
                        serverStation{m}.setService(cidxClass{cidx}, callservtproc{cidx});
                        self.call_classes_updmap{idx}(end+1,:) = [idx, cidx, model.getNodeIndex(serverStation{m}), cidxClass{cidx}.index];
                    end
                    curClass = cidxClass{cidx};
                else
                    % if it is not a call to an entry of the server
                    if callmean(cidx) < nreplicas
                        % The mean number of calls is embedded in the demand
                        % (callservt = callmean * W), so the class must be
                        % visited deterministically; a Bernoulli(callmean)
                        % visit would discount the call time twice.
                        P{curClass, cidxClass{cidx}}(clientDelay,clientDelay) = 1;
                        P{cidxClass{cidx}, cidxAuxClass{cidx}}(clientDelay,clientDelay) = 1;
                        curClass = cidxAuxClass{cidx};
                    elseif callmean(cidx) == nreplicas
                        P{curClass, cidxClass{cidx}}(clientDelay,clientDelay) = 1;
                        curClass = cidxClass{cidx};
                    else % callmean(cidx) > nreplicas
                        P{curClass, cidxClass{cidx}}(clientDelay,clientDelay) = 1; % the mean number of calls is now embedded in the demand
                        P{cidxClass{cidx}, cidxAuxClass{cidx}}(clientDelay,clientDelay) = 1;% / (callmean(cidx)/nreplicas); % the mean number of calls is now embedded in the demand
                        curClass = cidxAuxClass{cidx};
                    end
                    jobPos = atClient;
                    clientDelay.setService(cidxClass{cidx}, callservtproc{cidx});
                    self.call_classes_updmap{idx}(end+1,:) = [idx, cidx, 1, cidxClass{cidx}.index];
                end
            case atServer % job at server
                if lqn.parent(lqn.callpair(cidx,2)) == idx
                    % if it is a call to an entry of the server
                    if callmean(cidx) < nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(serverStation{m},clientDelay) = 1 - callmean(cidx);
                            P{curClass, cidxClass{cidx}}(serverStation{m},serverStation{m}) = callmean(cidx);
                            serverStation{m}.setService(cidxClass{cidx}, callservtproc{cidx});
                        end
                        jobPos = atClient;
                        curClass = cidxAuxClass{cidx};
                    elseif callmean(cidx) == nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(serverStation{m},serverStation{m}) = 1;
                        end
                        jobPos = atServer;
                        curClass = cidxClass{cidx};
                    else % callmean(cidx) > nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(serverStation{m},serverStation{m}) = 1;
                            P{cidxClass{cidx}, cidxClass{cidx}}(serverStation{m},serverStation{m}) = 1 - 1 / (callmean(cidx));
                            P{cidxClass{cidx}, cidxAuxClass{cidx}}(serverStation{m},clientDelay) = 1 / (callmean(cidx));
                        end
                        jobPos = atClient;
                        curClass = cidxAuxClass{cidx};
                    end
                    for m=1:nreplicas
                        serverStation{m}.setService(cidxClass{cidx}, callservtproc{cidx});
                        self.call_classes_updmap{idx}(end+1,:) = [idx, cidx, model.getNodeIndex(serverStation{m}), cidxClass{cidx}.index];
                    end
                else
                    % if it is not a call to an entry of the server
                    % callmean not needed since we switched
                    % to ResidT to model service time at client
                    if callmean(cidx) < nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(serverStation{m},clientDelay) = 1;
                        end
                        P{cidxClass{cidx}, cidxAuxClass{cidx}}(clientDelay,clientDelay) = 1;
                        curClass = cidxAuxClass{cidx};
                    elseif callmean(cidx) == nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(serverStation{m},clientDelay) = 1;
                        end
                        curClass = cidxClass{cidx};
                    else % callmean(cidx) > nreplicas
                        for m=1:nreplicas
                            P{curClass, cidxClass{cidx}}(serverStation{m},clientDelay) = 1;
                        end
                        P{cidxClass{cidx}, cidxAuxClass{cidx}}(clientDelay,clientDelay) = 1;
                        curClass = cidxAuxClass{cidx};
                    end
                    jobPos = atClient;
                    clientDelay.setService(cidxClass{cidx}, callservtproc{cidx});
                    self.call_classes_updmap{idx}(end+1,:) = [idx, cidx, 1, cidxClass{cidx}.index];
                end
        end
 
    end
end