Which One of the Following Is an Application of Queue Data Structure *?


Scott Campbell

In this article, we will explore the concept of queue data structure and its application in various fields. A queue is a linear data structure that follows the principle of “First-In-First-Out” (FIFO) order. This means that the element that is inserted first will be the first one to be removed.

What is a Queue Data Structure?

A queue can be visualized as a line of people waiting for their turn at a ticket counter or an ATM machine. The person who arrives first will be served first, and others have to wait patiently in line until it’s their turn.

Key Characteristics of a Queue:

  • Enqueue: Adding an element to the end of the queue
  • Dequeue: Removing an element from the front of the queue
  • Front: The first element in the queue
  • Rear: The last element in the queue
  • Empty Queue: A queue with no elements in it

Application of Queue Data Structure:

Now let’s explore some common applications of queues:

Scheduling Processes in Operating Systems:

In operating systems, queues are extensively used for process scheduling. Each process is added to a ready queue and waits for its turn to execute on the CPU. The operating system follows a scheduling algorithm that determines which process gets executed next based on priority or other criteria.

Breadth-First Search (BFS) Algorithm:

BFS is a graph traversal algorithm that explores all vertices of a graph in breadth-first order. It uses a queue data structure to keep track of vertices to visit next.

Starting from the root vertex, BFS visits all adjacent vertices before moving on to their neighbors. This ensures that all nodes at each level are visited before moving deeper into the graph.

Printer Spooler:

A printer spooler is an application that manages multiple print requests. When multiple users send print jobs simultaneously, the printer spooler organizes these requests in a queue. The printer then processes each request one by one, ensuring that all print jobs are executed in the order they were received.

Handling Web Server Requests:

Web servers often receive simultaneous requests from multiple users. To handle these requests efficiently, web servers use queues. Each incoming request is added to a request queue, and the server processes them sequentially, ensuring fair execution and preventing overload.

Simulation Systems:

Queue data structures are widely used in simulation systems to model real-life scenarios. For example, in a bank simulation system, customers arriving at different intervals can be represented using a queue. The system can then process each customer’s request based on their arrival time.


In conclusion, queues are a fundamental data structure with various applications across different domains. From operating systems to web servers and simulation systems, queues help in managing and organizing tasks efficiently. Understanding the concept of queues and their applications can greatly enhance your problem-solving skills as a programmer or software engineer.

Remember to make efficient use of queue operations like enqueue and dequeue when implementing solutions involving FIFO order. By incorporating the power of queues into your code, you can optimize processes and provide better user experiences in your applications.

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