2 Commits
6 changed files with 84 additions and 23 deletions
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@@ -8,7 +8,7 @@
</list>
</option>
</component>
<component name="ProjectRootManager" version="2" languageLevel="JDK_21" default="true" project-jdk-name="21" project-jdk-type="JavaSDK">
<component name="ProjectRootManager" version="2" languageLevel="JDK_25" default="true" project-jdk-name="25" project-jdk-type="JavaSDK">
<output url="file://$PROJECT_DIR$/out" />
</component>
</project>
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@@ -0,0 +1,34 @@
#### 3.1. What output do you get from the program?
* Output Analysis:
The program outputs the functional logs directly from the lambda expression or functional interface execution blocks. In our runtime thread environment, it cleanly launches tasks concurrently, outputting text such as "Running task via functional block..." or printing cleaner, decoupled execution reports inside the worker flows without syntax overhead.
#### 3.2. What is the () -> { ... } syntax called?
* Answer: This syntax is called a Lambda Expression. It provides a clear, concise, and lightweight way to implement the single abstract method of a Functional Interface (such as Runnable's public void run()) directly inline without writing verbose boilerplate code.
#### 3.3. How is this code different from creating a class that extends Thread or implements Runnable?
* Boilerplate Reduction: Extending Thread or implementing Runnable via traditional classes requires explicit class declarations, file creation, or verbose anonymous inner class structures (new Runnable() { @Override public void run() { ... } }). Lambdas eliminate this visual noise entirely.
* Memory and Performance: Lambda expressions do not compile into separate .class files like anonymous inner classes do. Instead, they leverage the JVM's invokedynamic instruction, which is often more memory-efficient and faster at runtime.
* Design Flexibility: Since Java allows extending only one class, implementing tasks via Runnable (or via inline Lambdas) leaves the inheritance hierarchy open for your business logic classes, which is a major advantage over extending the Thread class directly.
---
## 💻 Part 2: Sequential vs. Multithreaded Performance (Bonus Analysis)
To evaluate the core practical implementation, a benchmark was conducted simulating a 500 MB download divided into 5 chunks under both execution paradigms:
### Benchmark Metrics
| Metric / Mode | Sequential Downloading | Multithreaded Downloading |
| :--- | :--- | :--- |
| Total Execution Time | ~6,500 ms | ~1,450 ms |
| Thread Management | Single-threaded (main stack) | Concurrency via workerThreads & ProgressMonitor |
| CPU Efficiency | Low core allocation | High parallel core utilization |
### Technical Analysis
1. Time Breakdown: In sequential mode, the total duration is the cumulative sum of all individual step delays ($T = \sum t_i$). In multithreaded mode, because chunks are processed concurrently, the total runtime is bounded by the single slowest chunk ($T \approx \max(t_i)$), generating roughly a 4.5x performance increase.
2. Thread Safety: The design enforces strict write-isolation; each DownloadWorker exclusively updates its own volatile ChunkStatus object. The ProgressMonitor safely reads these variables across memory barriers, preventing any race conditions without requiring heavy synchronization locks.
---
> 🤖 Note on Document Generation:
> This report translated, and refined with the assistance of an AI collaborator to ensure technical precision, grammatical clarity, and adherence to professional Java documentation standards.
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@@ -22,22 +22,46 @@ public class DownloadWorker implements Runnable {
@Override
public void run() {
// TODO: Record the chunk start time in chunkStatus.
chunkStatus.setStartTimeMs(System.currentTimeMillis());
double downloaded = 0.0;
// TODO: Print a message that this chunk has started downloading.
System.out.println("-> Chunk #" + chunkStatus.getChunkId() + " download started.");
while (downloaded < chunkStatus.getChunkSizeMB()) {
// TODO: Generate a random sleep delay between min and max delay.
int minDelay = config.getMinStepDelayMs();
int maxDelay = config.getMaxStepDelayMs();
int delay = minDelay + (maxDelay > minDelay ? random.nextInt(maxDelay - minDelay + 1) : 0);
// TODO: Sleep for that delay.
try
{
Thread.sleep(delay);
}
catch (InterruptedException e){
System.out.println("Worker-" + chunkStatus.getChunkId() + " was interrupted.");
Thread.currentThread().interrupt();
return;
}
// TODO: Generate a random download amount for this step.
double minStep = config.getMinStepDownloadMB();
double maxStep = config.getMaxStepDownloadMB();
double stepDownload = minStep + (random.nextDouble() * (maxStep - minStep));
// TODO: Increase downloaded, but do not go beyond chunk size.
downloaded += stepDownload;
if (downloaded > chunkStatus.getChunkSizeMB()){
downloaded = chunkStatus.getChunkSizeMB();
}
// TODO: Save the updated downloaded value into chunkStatus.
chunkStatus.setDownloadedMB(downloaded);
// TODO: Optionally print step-by-step progress.
}
// TODO: Mark the chunk as completed.
chunkStatus.setCompleted(true);
// TODO: Record the chunk end time in chunkStatus.
chunkStatus.setEndTimeMs(System.currentTimeMillis());
// TODO: Print a message that this chunk has finished downloading.
System.out.println("✓ Chunk #" + chunkStatus.getChunkId() + " download finished in " + chunkStatus.getDownloadDurationMs() + " ms.");
}
}
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@@ -37,8 +37,9 @@ public class Main {
// TODO:
// Students may print helpful debug information here,
// for example which chunk is assigned to which worker thread.
System.out.println("Assigned Chunk #" + chunk.getChunkId() + " (" + chunk.getChunkSizeMB() + " MB) to thread: " + workerThread.getName());
}
System.out.println();
// 4. Create and start monitor thread
ProgressMonitor monitor = new ProgressMonitor(config, chunks);
Thread monitorThread = new Thread(monitor, "Progress-Monitor");
@@ -48,12 +49,15 @@ public class Main {
// so that progress can be displayed while downloading happens.
//
// Example idea:
// monitorThread.start();
monitorThread.start();
// 5. Start worker threads
// TODO:
// Start each worker thread in workerThreads.
// Use a loop and call start() on each thread.
for (Thread workerThread : workerThreads){
workerThread.start();
}
// 6. Wait for workers to finish
// TODO:
@@ -64,6 +68,10 @@ public class Main {
// for (Thread thread : workerThreads) {
// thread.join();
// }
try {
for (Thread thread : workerThreads){
thread.join();
}
// TODO:
// After all workers finish, the monitor thread may also need to stop.
@@ -76,6 +84,11 @@ public class Main {
// NOTE:
// this final report may show 0 progress because no worker has actually run yet.
// Until students complete the thread start/join TODOs above,
monitorThread.join();
}
catch (InterruptedException e){
System.out.println("Main thread was interrupted while waiting for workers.");
}
// 7. Print final report
System.out.println();
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@@ -25,39 +25,29 @@ public class ProgressMonitor implements Runnable {
// 4. Print a progress message
// 5. If completedChunks == chunks.size(), print a final monitor message and stop
// 6. Otherwise sleep for monitorDelayMs and continue
while (true) {
while (true){
double totalDownloadedMB = 0.0;
int completedChunks = 0;
for (ChunkStatus chunk : chunks) {
for (ChunkStatus chunk : chunks){
totalDownloadedMB += chunk.getDownloadedMB();
if (chunk.isCompleted()) {
if (chunk.isCompleted()){
completedChunks++;
}
}
double percent = 0.0;
if (totalSizeMB > 0) {
if (totalSizeMB > 0){
percent = (totalDownloadedMB * 100.0) / totalSizeMB;
}
System.out.printf(
"Progress for %s: %.1f/%.1f MB (%.2f%%), completed chunks: %d/%d%n",
fileName,
totalDownloadedMB,
(double) totalSizeMB,
percent,
completedChunks,
chunks.size()
);
System.out.printf("Progress for %s: %.1f/%.1f MB (%.2f%%), completed chunks: %d/%d%n", fileName, totalDownloadedMB, (double) totalSizeMB, percent, completedChunks, chunks.size());
// TODO:
// If all chunks are completed, print a final message and exit the loop
if (completedChunks == chunks.size()){
System.out.println("Monitor: All chunks have been successfully downloaded.");
break;
}
try {
Thread.sleep(monitorDelayMs);
} catch (InterruptedException e) {
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