BhauAutomation

Multithreading and Multitasking in Java

Understand the difference between Multithreading and Multitasking in Java, their advantages, limitations, and how they improve program efficiency and responsiveness.

What is Multithreading?

Multithreading in Java allows concurrent execution of two or more threads within a single program. Each thread performs a specific task, helping achieve parallel execution for better performance.

Example:
class Task1 extends Thread {
    public void run() {
        for (int i = 1; i <= 5; i++) {
            System.out.println("Task 1 - Count: " + i);
        }
    }
}

class Task2 extends Thread {
    public void run() {
        for (int i = 1; i <= 5; i++) {
            System.out.println("Task 2 - Count: " + i);
        }
    }
}

public class MultiThreadExample {
    public static void main(String[] args) {
        Task1 t1 = new Task1();
        Task2 t2 = new Task2();
        t1.start();
        t2.start();
    }
}
    

Output: Both threads run concurrently, displaying interleaved results.

What is Multitasking?

Multitasking means the ability of an operating system to execute multiple programs or processes simultaneously. Java supports multitasking using process-based and thread-based multitasking.

Example:

Running a Java program while listening to music and downloading a file — all at the same time. Each task runs independently in separate processes handled by the OS.

Objectives

Improve program performance by executing tasks concurrently.
Utilize system resources efficiently.
Enable simultaneous operations for smoother user experience.

Advantages

Faster execution and responsiveness.
Better CPU utilization.
Efficient use of idle processor time.
Supports real-time, parallel operations.

Limitations

Thread synchronization can be complex.
Debugging multithreaded code is harder.
Improper handling may lead to deadlocks.
Performance overhead if too many threads are created.

Multithreading Process

1. Create threads using Thread class or Runnable interface.
2. Start threads using start() method.
3. Use sleep(), join(), and synchronized for managing execution.
4. Monitor thread lifecycle and handle exceptions.
5. Terminate threads after task completion.

Best Practices

Use proper synchronization to prevent race conditions.
Keep thread tasks lightweight and independent.
Utilize thread pools for managing large numbers of threads.
Handle exceptions inside threads for stability.