Refactoring

- better connection between name of class and logic
- fixed bugs
This commit is contained in:
2025-01-20 21:57:52 +01:00
parent a39898416a
commit 8e1085c6b1
4 changed files with 180 additions and 184 deletions

View File

@@ -7,10 +7,10 @@ public interface EndCriteria {
/** /**
* Determines if the simulation should end based on the statistics of the nodes. * Determines if the simulation should end based on the statistics of the nodes.
* *
* @param stats The statistics of the nodes in the network. * @param run The current run of the network.
* @return True if the simulation should end, false otherwise. * @return True if the simulation should end, false otherwise.
*/ */
public boolean shouldEnd(NetStatistics.SingleRun stats); public boolean shouldEnd(NetSimulation.SimulationRun run);
/** /**
* Ends the simulation when the given node has reached the specified number of * Ends the simulation when the given node has reached the specified number of
@@ -33,8 +33,8 @@ public interface EndCriteria {
} }
@Override @Override
public boolean shouldEnd(NetStatistics.SingleRun stats) { public boolean shouldEnd(NetSimulation.SimulationRun run) {
return stats.nodes.get(nodeName).numArrivals >= this.maxArrivals; return run.getNode(nodeName).stats.numArrivals >= this.maxArrivals;
} }
} }
@@ -59,8 +59,8 @@ public interface EndCriteria {
} }
@Override @Override
public boolean shouldEnd(NetStatistics.SingleRun stats) { public boolean shouldEnd(NetSimulation.SimulationRun run) {
return stats.nodes.get(nodeName).numDepartures >= this.maxDepartures; return run.getNode(nodeName).stats.numDepartures >= this.maxDepartures;
} }
} }
@@ -82,8 +82,8 @@ public interface EndCriteria {
} }
@Override @Override
public boolean shouldEnd(NetStatistics.SingleRun stats) { public boolean shouldEnd(NetSimulation.SimulationRun run) {
return stats.simulationTime >= this.maxTime; return run.getTime() >= this.maxTime;
} }
} }
} }

View File

@@ -1,13 +1,16 @@
package net.berack.upo.valpre; package net.berack.upo.valpre;
import java.util.ArrayDeque;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.Collection; import java.util.Collection;
import java.util.HashMap;
import java.util.Map;
import java.util.PriorityQueue; import java.util.PriorityQueue;
import java.util.concurrent.ExecutionException; import java.util.concurrent.ExecutionException;
import java.util.concurrent.Executors; import java.util.concurrent.Executors;
import java.util.concurrent.Future; import java.util.concurrent.Future;
import net.berack.upo.valpre.NetStatistics.RunResult;
import net.berack.upo.valpre.NetStatistics.SingleRun; import net.berack.upo.valpre.NetStatistics.Statistics;
import net.berack.upo.valpre.rand.Rng; import net.berack.upo.valpre.rand.Rng;
import net.berack.upo.valpre.rand.Rngs; import net.berack.upo.valpre.rand.Rngs;
@@ -27,19 +30,6 @@ public class NetSimulation {
this.servers.add(node); this.servers.add(node);
} }
/**
* Runs the simulation with the given seed until a given criteria is met.
*
* @param seed The seed to use for the random number generator.
* @param criterias The criteria to determine when to end the simulation. If
* null then the simulation will run until there are no more
* events.
* @return The statistics the network.
*/
public NetStatistics.SingleRun run(long seed, EndCriteria... criterias) {
return this.run(new Rng(seed), criterias);
}
/** /**
* Run the simualtion multiple times with the given seed and number of runs. * Run the simualtion multiple times with the given seed and number of runs.
* The runs are calculated one after the other. For a parallel run see * The runs are calculated one after the other. For a parallel run see
@@ -54,7 +44,7 @@ public class NetSimulation {
*/ */
public NetStatistics run(long seed, int runs, EndCriteria... criterias) { public NetStatistics run(long seed, int runs, EndCriteria... criterias) {
var rng = new Rng(seed); var rng = new Rng(seed);
var stats = new SingleRun[runs]; var stats = new RunResult[runs];
for (int i = 0; i < runs; i++) { for (int i = 0; i < runs; i++) {
stats[i] = this.run(rng, criterias); stats[i] = this.run(rng, criterias);
@@ -65,13 +55,14 @@ public class NetSimulation {
/** /**
* Runs the simulation multiple times with the given seed and number of runs. * Runs the simulation multiple times with the given seed and number of runs.
* The runs are calculated in parallel using the given number of threads. * The runs are calculated in parallel using the given number of threads.
* The maximum number of threads are determined by the available processors
* and the number of runs.
* *
* @param seed The seed to use for the random number generator. * @param seed The seed to use for the random number generator.
* @param runs The number of runs to perform. * @param runs The number of runs to perform.
* @param numThreads The number of threads to use for the simulation. * @param criterias The criteria to determine when to end the simulation. If
* @param criterias The criteria to determine when to end the simulation. If * null then the simulation will run until there are no more
* null then the simulation will run until there are no more * events.
* events.
* @return The statistics the network. * @return The statistics the network.
* @throws InterruptedException If the threads are interrupted. * @throws InterruptedException If the threads are interrupted.
* @throws ExecutionException If the one of the threads has been aborted. * @throws ExecutionException If the one of the threads has been aborted.
@@ -79,25 +70,24 @@ public class NetSimulation {
public NetStatistics runParallel(long seed, int runs, EndCriteria... criterias) public NetStatistics runParallel(long seed, int runs, EndCriteria... criterias)
throws InterruptedException, ExecutionException { throws InterruptedException, ExecutionException {
var rngs = new Rngs(seed); var rngs = new Rngs(seed);
var stats = new NetStatistics.SingleRun[runs]; var results = new NetStatistics.RunResult[runs];
var futures = new Future[runs]; var futures = new Future[runs];
var numThreads = Math.min(runs, Runtime.getRuntime().availableProcessors()); var numThreads = Math.min(runs, Runtime.getRuntime().availableProcessors());
var threads = Executors.newFixedThreadPool(numThreads); try (var threads = Executors.newFixedThreadPool(numThreads)) {
for (int i = 0; i < runs; i++) {
final var id = i;
futures[i] = threads.submit(() -> {
results[id] = this.run(rngs.getRng(id), criterias);
});
}
for (int i = 0; i < runs; i++) { for (var i = 0; i < runs; i++) {
final var id = i; futures[i].get();
futures[i] = threads.submit(() -> { }
stats[id] = this.run(rngs.getRng(id), criterias);
}); return new NetStatistics(results);
} }
for (var i = 0; i < runs; i++) {
futures[i].get();
}
threads.shutdownNow();
return new NetStatistics(stats);
} }
/** /**
@@ -109,37 +99,45 @@ public class NetSimulation {
* events. * events.
* @return The statistics the network. * @return The statistics the network.
*/ */
public NetStatistics.SingleRun run(Rng rng, EndCriteria... criterias) { public NetStatistics.RunResult run(Rng rng, EndCriteria... criterias) {
var run = new SimpleRun(this.servers, rng, criterias); var run = new SimulationRun(this.servers, rng, criterias);
while (!run.hasEnded()) { while (!run.hasEnded())
run.processNextEvent(); run.processNextEvent();
}
return run.endSimulation(); return run.endSimulation();
} }
/** /**
* Process an entire run of the simulation. * Process an entire run of the simulation.
*/ */
public static class SimpleRun { public static class SimulationRun {
private final Map<String, NodeBehavior> nodes;
private final NetStatistics.SingleRun stats;
private final PriorityQueue<Event> fel; private final PriorityQueue<Event> fel;
private final EndCriteria[] criterias; private final EndCriteria[] criterias;
private final long timeStartedNano;
private final long seed;
private final Rng rng;
private double time;
/** /**
* Creates a new run of the simulation with the given nodes and random number * Creates a new run of the simulation with the given nodes and random number
* generator. * generator.
* *
* @param nodes The nodes in the network. * @param nodes The nodes in the network.
* @param rng The random number generator to use. * @param rng The random number generator to use.
* @param criterias when the simulation has to end.
*/ */
private SimpleRun(Collection<ServerNode> nodes, Rng rng, EndCriteria... criterias) { private SimulationRun(Collection<ServerNode> nodes, Rng rng, EndCriteria... criterias) {
this.nodes = new HashMap<>();
this.fel = new PriorityQueue<>(); this.fel = new PriorityQueue<>();
this.stats = new NetStatistics.SingleRun(nodes, rng);
this.criterias = criterias; this.criterias = criterias;
this.timeStartedNano = System.nanoTime();
this.seed = rng.getSeed();
this.rng = rng;
this.time = 0.0d;
// Initial arrivals (if spawned) // Initial arrivals (if spawned)
for (var node : nodes) { for (var node : nodes) {
this.nodes.put(node.name, new NodeBehavior());
if (node.shouldSpawnArrival(0)) if (node.shouldSpawnArrival(0))
this.addEvent(node, Event.Type.ARRIVAL); this.addEvent(node, Event.Type.ARRIVAL);
} }
@@ -154,11 +152,27 @@ public class NetSimulation {
*/ */
public void processNextEvent() { public void processNextEvent() {
var event = fel.poll(); var event = fel.poll();
stats.simulationTime = event.time; var node = this.nodes.get(event.node.name);
this.time = event.time;
switch (event.type) { switch (event.type) {
case ARRIVAL -> this.processArrival(event); case ARRIVAL -> {
case DEPARTURE -> this.processDeparture(event); if (node.updateArrival(event.time, event.node.maxServers))
this.addEvent(event.node, Event.Type.DEPARTURE);
if (event.node.shouldSpawnArrival(node.stats.numArrivals)) {
this.addEvent(event.node, Event.Type.ARRIVAL);
}
}
case DEPARTURE -> {
if (node.updateDeparture(event.time))
this.addEvent(event.node, Event.Type.DEPARTURE);
if (!event.node.shouldSinkDeparture(node.stats.numDepartures)) {
var next = event.node.getChild(this.rng);
this.addEvent(next, Event.Type.ARRIVAL);
}
}
} }
} }
@@ -167,72 +181,32 @@ public class NetSimulation {
* *
* @return The statistics of the network. * @return The statistics of the network.
*/ */
public NetStatistics.SingleRun endSimulation() { private NetStatistics.RunResult endSimulation() {
this.stats.endSimulation(); var elapsed = System.nanoTime() - this.timeStartedNano;
return this.stats; var nodes = new HashMap<String, Statistics>();
for (var entry : this.nodes.entrySet())
nodes.put(entry.getKey(), entry.getValue().stats);
return new RunResult(this.seed, this.time, elapsed, nodes);
} }
/** /**
* Processes an arrival event for the given node at the given time. * Get the current time.
* The event is processed by adding the arrival time to the queue, updating the
* maximum queue length, and checking if a server is available to process the
* arrival. If a server is available, a departure event is created and added to
* the future event list.
* *
* @param stats The statistics of the network. * @return a double representing the current time of the simulation.
* @param event The arrival event to process.
* @param fel The future event list to add new events to.
*/ */
private void processArrival(Event event) { public double getTime() {
var nodeStats = stats.nodes.get(event.node.name); return this.time;
nodeStats.numArrivals++;
nodeStats.enqueue(event.time);
if (event.node.maxServers > nodeStats.numServerBusy) {
nodeStats.numServerBusy++;
this.addEvent(event.node, Event.Type.DEPARTURE);
} else {
nodeStats.busyTime += stats.simulationTime - nodeStats.lastEventTime;
}
nodeStats.lastEventTime = stats.simulationTime;
if (event.node.shouldSpawnArrival(nodeStats.numArrivals)) {
this.addEvent(event.node, Event.Type.ARRIVAL);
}
} }
/** /**
* Processes a departure event for the given node at the given time. * Get the node requested by the name passed as a string.
* The event is processed by removing the departure time from the queue,
* updating the busy time, and checking if there are any arrivals in the queue.
* If there are, a new departure event is created and added to the fel.
* At the end it will add an arrival to the next node if the current node has a
* child.
* *
* @param stats The statistics of the network. * @param node the name of the node
* @param event The departure event to process. * @return the node
* @param fel The future event list to add new events to.
*/ */
private void processDeparture(Event event) { public NodeBehavior getNode(String node) {
var nodeStats = stats.nodes.get(event.node.name); return this.getNode(node);
var startService = nodeStats.dequeue();
var response = stats.simulationTime - startService;
if (nodeStats.getQueueSize() < nodeStats.numServerBusy) {
nodeStats.numServerBusy--;
} else {
this.addEvent(event.node, Event.Type.DEPARTURE);
}
nodeStats.numDepartures++;
nodeStats.responseTime += response;
nodeStats.busyTime += stats.simulationTime - nodeStats.lastEventTime;
nodeStats.lastEventTime = stats.simulationTime;
if (!event.node.shouldSinkDeparture(nodeStats.numDepartures)) {
var next = event.node.getChild(stats.rng);
this.addEvent(next, Event.Type.ARRIVAL);
}
} }
/** /**
@@ -245,8 +219,8 @@ public class NetSimulation {
*/ */
public void addEvent(ServerNode node, Event.Type type) { public void addEvent(ServerNode node, Event.Type type) {
if (node != null) { if (node != null) {
var delay = node.getPositiveSample(stats.rng); var delay = node.getPositiveSample(this.rng);
var event = Event.newType(node, stats.simulationTime + delay, type); var event = Event.newType(node, this.time + delay, type);
fel.add(event); fel.add(event);
} }
} }
@@ -261,11 +235,68 @@ public class NetSimulation {
return true; return true;
} }
for (var c : this.criterias) { for (var c : this.criterias) {
if (c.shouldEnd(stats)) { if (c.shouldEnd(this)) {
return true; return true;
} }
} }
return false; return false;
} }
} }
/**
* Represents a summary of the behavior of a server node in the network.
* It is used by the simulation to track the number of arrivals and departures,
* the maximum queue length, the busy time, and the response time.
*/
public static class NodeBehavior {
public int numServerBusy = 0;
public final Statistics stats = new Statistics();
private final ArrayDeque<Double> queue = new ArrayDeque<>();
/**
* TODO
* @param time
* @param maxServers
* @return
*/
public boolean updateArrival(double time, int maxServers) {
var total = this.stats.averageQueueLength * this.stats.numArrivals;
this.queue.add(time);
this.stats.numArrivals++;
this.stats.averageQueueLength = (total + this.queue.size()) / this.stats.numArrivals;
this.stats.maxQueueLength = Math.max(this.stats.maxQueueLength, this.queue.size());
var startDeparture = maxServers > this.numServerBusy;
if (startDeparture) {
this.numServerBusy++;
} else {
this.stats.busyTime += time - this.stats.lastEventTime;
}
this.stats.lastEventTime = time;
return startDeparture;
}
/**
* TODO
* @param time
* @return
*/
public boolean updateDeparture(double time) {
var startService = this.queue.poll();
var response = time - startService;
var startDeparture = this.queue.size() >= this.numServerBusy;
if (!startDeparture) {
this.numServerBusy--;
}
this.stats.numDepartures++;
this.stats.responseTime += response;
this.stats.busyTime += time - this.stats.lastEventTime;
this.stats.lastEventTime = time;
return startDeparture;
}
}
} }

View File

@@ -1,16 +1,21 @@
package net.berack.upo.valpre; package net.berack.upo.valpre;
import java.util.ArrayDeque;
import java.util.Collection;
import java.util.HashMap; import java.util.HashMap;
import java.util.Map; import java.util.Map;
import net.berack.upo.valpre.rand.Rng; /**
* TODO
*/
public class NetStatistics { public class NetStatistics {
public final SingleRun[] runs; public final RunResult[] runs;
// public final Run average;
// public final Run variance;
public NetStatistics(SingleRun... runs) { /**
* TODO
* @param runs
*/
public NetStatistics(RunResult... runs) {
this.runs = runs; this.runs = runs;
} }
@@ -20,12 +25,11 @@ public class NetStatistics {
* nodes, including the number of arrivals and departures, the maximum queue * nodes, including the number of arrivals and departures, the maximum queue
* length, the busy time, and the response time. * length, the busy time, and the response time.
*/ */
public static class SingleRun { public static class RunResult {
public final Map<String, Node> nodes; public final Map<String, Statistics> nodes;
public final long seed; public final long seed;
public final Rng rng; public final double simulationTime;
public double simulationTime; public final long timeElapsedNano;
public long timeElapsedNano;
/** /**
* Creates a new statistics object for the given collection of server nodes and * Creates a new statistics object for the given collection of server nodes and
@@ -34,25 +38,11 @@ public class NetStatistics {
* @param nodes The collection of server nodes to track. * @param nodes The collection of server nodes to track.
* @param rng The random number generator to use. * @param rng The random number generator to use.
*/ */
public SingleRun(Collection<ServerNode> nodes, Rng rng) { public RunResult(long seed, double time, long elapsed, HashMap<String, Statistics> nodes) {
this.rng = rng; this.seed = seed;
this.seed = rng.getSeed(); this.simulationTime = time;
this.timeElapsedNano = elapsed;
this.simulationTime = 0.0d; this.nodes = nodes;
this.timeElapsedNano = System.nanoTime();
this.nodes = new HashMap<String, Node>();
for (var node : nodes) {
var s = new Node();
this.nodes.put(node.name, s);
}
}
/**
* Ends the simulation and calculates the elapsed time.
*/
public void endSimulation() {
this.timeElapsedNano = System.nanoTime() - this.timeElapsedNano;
} }
/** /**
@@ -72,7 +62,7 @@ public class NetStatistics {
for (var entry : this.nodes.entrySet()) { for (var entry : this.nodes.entrySet()) {
var stats = entry.getValue(); var stats = entry.getValue();
var entrySize = (int) Math.max(size, (int) Math.ceil((Math.log10(stats.numArrivals)))); var entrySize = (int) Math.max(size, (int) Math.ceil((Math.log10(stats.numArrivals))));
var iFormat = "%" + entrySize + "d"; var iFormat = "%" + entrySize + ".0f";
var fFormat = "%" + (entrySize + 4) + ".3f"; var fFormat = "%" + (entrySize + 4) + ".3f";
System.out.println("===== " + entry.getKey() + " ====="); System.out.println("===== " + entry.getKey() + " =====");
@@ -87,23 +77,17 @@ public class NetStatistics {
} }
/** /**
* Represents a statistical summary of the behavior of a server node in the * TODO
* network.
* It is used by the simulation to track the number of arrivals and departures,
* the maximum queue length, the busy time, and the response time.
*/ */
public static class Node { public static class Statistics {
public int numArrivals = 0; public double numArrivals = 0;
public int numDepartures = 0; public double numDepartures = 0;
public int maxQueueLength = 0; public double maxQueueLength = 0;
public double averageQueueLength = 0.0d; public double averageQueueLength = 0.0d;
public double busyTime = 0.0d; public double busyTime = 0.0d;
public double responseTime = 0.0d; public double responseTime = 0.0d;
public double lastEventTime = 0.0d; public double lastEventTime = 0.0d;
public int numServerBusy = 0;
private ArrayDeque<Double> queue = new ArrayDeque<>();
/** /**
* Resets the statistics to their initial values. * Resets the statistics to their initial values.
*/ */
@@ -111,29 +95,10 @@ public class NetStatistics {
this.numArrivals = 0; this.numArrivals = 0;
this.numDepartures = 0; this.numDepartures = 0;
this.maxQueueLength = 0; this.maxQueueLength = 0;
this.averageQueueLength = 0.0; this.averageQueueLength = 0.0d;
this.busyTime = 0.0; this.busyTime = 0.0d;
this.responseTime = 0.0; this.responseTime = 0.0d;
this.lastEventTime = 0.0; this.lastEventTime = 0.0d;
this.numServerBusy = 0;
this.queue.clear();
}
public double dequeue() {
return this.queue.poll();
}
public void enqueue(double time) {
var total = this.averageQueueLength * (this.numArrivals - 1);
this.queue.add(time);
this.averageQueueLength = (total + this.queue.size()) / this.numArrivals;
this.maxQueueLength = Math.max(this.maxQueueLength, this.queue.size());
}
public int getQueueSize() {
return this.queue.size();
} }
} }
} }

View File

@@ -125,7 +125,7 @@ public class ServerNode {
* @param numArrivals The number of arrivals to check against. * @param numArrivals The number of arrivals to check against.
* @return True if the node should spawn an arrival, false otherwise. * @return True if the node should spawn an arrival, false otherwise.
*/ */
public boolean shouldSpawnArrival(int numArrivals) { public boolean shouldSpawnArrival(double numArrivals) {
return this.spawnArrivals > numArrivals; return this.spawnArrivals > numArrivals;
} }
@@ -136,7 +136,7 @@ public class ServerNode {
* @param numDepartures The number of departures to check against. * @param numDepartures The number of departures to check against.
* @return True if the node should sink a departure, false otherwise. * @return True if the node should sink a departure, false otherwise.
*/ */
public boolean shouldSinkDeparture(int numDepartures) { public boolean shouldSinkDeparture(double numDepartures) {
return this.sinkDepartures > numDepartures; return this.sinkDepartures > numDepartures;
} }