Concurrency Control in C#

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How could I design a system in C# that demonstrates the use of locks, mutexes, and semaphores to control access to shared resources across multiple threads. Specifically, implement the following:

  1. Locks: Use a lock statement to synchronize access to a shared resource.
  2. Mutexes: Implement a scenario where a Mutex is used to prevent multiple threads from simultaneously accessing a critical section, even across processes.
  3. Semaphores: Use a Semaphore to limit the number of threads that can access a particular resource at the same time.

After implementing the system, compare the performance and use cases for each of these synchronization primitives. Explain when and why you would choose one over the others.

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To implement this system, we’ll create a simple C# console application that demonstrates the use of locks, mutexes, and semaphores for controlling access to shared resources across multiple threads. Each synchronization primitive will be used in a different scenario, and we’ll discuss their performance and appropriate use cases.

1. Using lock for Synchronization:

The lock statement in C# is used to ensure that only one thread can enter a particular section of code at a time. It’s a simple and effective way to prevent race conditions.

csharp
using System; using System.Threading; class LockExample { private static int counter = 0; private static readonly object lockObj = new object(); public static void Increment() { lock (lockObj) { // Critical section counter++; Console.WriteLine($"Counter: {counter} (Thread {Thread.CurrentThread.ManagedThreadId})"); } } public static void Main() { Thread[] threads = new Thread[5]; for (int i = 0; i < 5; i++) { threads[i] = new Thread(Increment); threads[i].Start(); } foreach (var thread in threads) { thread.Join(); } } }

Explanation:

  • The lock statement is used to synchronize access to the Increment method. Only one thread can execute the code within the lock block at a time.
  • This prevents multiple threads from modifying the counter variable simultaneously, avoiding race conditions.

Use Case:

  • The lock statement is ideal for synchronizing access to shared resources within a single application, where the critical section is relatively short and lightweight.

2. Using Mutex for Cross-Process Synchronization:

A Mutex is similar to a lock but can also be used to synchronize threads across different processes.

csharp
using System; using System.Threading; class MutexExample { private static int counter = 0; private static readonly Mutex mutex = new Mutex(); public static void Increment() { mutex.WaitOne(); // Acquire the mutex try { // Critical section counter++; Console.WriteLine($"Counter: {counter} (Thread {Thread.CurrentThread.ManagedThreadId})"); } finally { mutex.ReleaseMutex(); // Release the mutex } } public static void Main() { Thread[] threads = new Thread[5]; for (int i = 0; i < 5; i++) { threads[i] = new Thread(Increment); threads[i].Start(); } foreach (var thread in threads) { thread.Join(); } } }

Explanation:

  • The Mutex is acquired with WaitOne and released with ReleaseMutex.
  • Even if the threads belong to different processes, the Mutex ensures that only one thread can access the critical section at a time.

Use Case:

  • A Mutex is suitable when you need to synchronize access to a resource across multiple processes, not just within a single application. This makes it more powerful than lock but also potentially more expensive in terms of performance.

3. Using Semaphore to Limit Access:

A Semaphore controls access to a resource by limiting the number of threads that can access it concurrently.

csharp
using System; using System.Threading; class SemaphoreExample { private static readonly Semaphore semaphore = new Semaphore(2, 2); // Allow 2 threads at a time private static int counter = 0; public static void Increment() { semaphore.WaitOne(); // Enter the semaphore try { // Critical section counter++; Console.WriteLine($"Counter: {counter} (Thread {Thread.CurrentThread.ManagedThreadId})"); Thread.Sleep(1000); // Simulate work } finally { semaphore.Release(); // Exit the semaphore } } public static void Main() { Thread[] threads = new Thread[5]; for (int i = 0; i < 5; i++) { threads[i] = new Thread(Increment); threads[i].Start(); } foreach (var thread in threads) { thread.Join(); } } }

Explanation:

  • The Semaphore is initialized with a count of 2, meaning that up to 2 threads can access the critical section concurrently.
  • If more than 2 threads try to enter, they will be blocked until one of the current threads exits the semaphore.

Use Case:

  • A Semaphore is useful when you want to limit the number of threads that can access a resource simultaneously, such as limiting the number of connections to a database or a network resource.

4. Performance Comparison and Use Cases

  • Locks:

    • Best for intra-process synchronization where the critical section is small and quick.
    • Minimal overhead but limited to a single process.
    • Commonly used when you need a simple, fast, and easy-to-read synchronization mechanism.
  • Mutexes:

    • Suitable for both intra-process and cross-process synchronization.
    • Heavier than lock due to the potential need to communicate across process boundaries.
    • Use when you need to ensure mutual exclusion across multiple processes.
  • Semaphores:

    • Allows a configurable number of threads to enter the critical section, making it more flexible.
    • Useful when managing a limited pool of resources (e.g., database connections).
    • Slightly more complex to manage but offers greater control over concurrency.

In summary, each synchronization primitive serves a different purpose:

  • Use lock when you need quick and simple thread synchronization within a single process.
  • Use Mutex when you need to synchronize threads across different processes or when the lock statement is insufficient.
  • Use Semaphore when you need to limit the number of threads accessing a resource concurrently, offering more complex synchronization control.

These tools allow you to manage concurrency in C# effectively, depending on the specific requirements of your application.

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