What Is the Use of Queue in Data Structure?


Larry Thompson

Queues are a fundamental data structure used in computer science and programming. They are designed to store and manage a collection of elements in a specific order. In this article, we will explore the use of queues in data structures and understand why they are an important tool for solving various problems.

What is a Queue?

A queue is an abstract data type that follows the FIFO (First-In-First-Out) principle. It behaves like a real-life queue or line, where the first person who joins the line is the first one to be served. Similarly, in a queue data structure, the element that is added first is the first one to be removed.

Queues have two main operations:

  • Enqueue: Adding an element to the end of the queue.
  • Dequeue: Removing an element from the front of the queue.

The Use of Queues

The use of queues can be found in numerous real-world scenarios as well as in programming applications. Let’s explore some common use cases:

1. Task Scheduling

In operating systems and multitasking environments, queues are used for task scheduling. Each process or task is added to a queue, and they are executed in the order they were added. This ensures fairness and prevents any particular task from hogging all available resources.

2. Print Spooling

In printer management systems, queues are used for print spooling. When multiple print requests are received, they are placed in a queue and processed one by one. This ensures that print jobs are executed in the order they were requested, preventing conflicts or clashes between different print jobs.

3. Message Passing

Queues are commonly used for message passing between different components of a system. For example, in a messaging application, incoming messages are added to a queue, and the recipient retrieves them from the front of the queue. This ensures that messages are delivered in the order they were received.

4. Breadth-First Search

In graph theory and algorithms, queues play a crucial role in breadth-first search (BFS). BFS explores all the vertices of a graph in breadth-first order, level by level. A queue is used to keep track of the vertices to be visited next, ensuring that each level is traversed before moving to the next.

Implementing Queues

Queues can be implemented using various data structures such as arrays or linked lists. The choice of implementation depends on factors like efficiency, memory usage, and specific requirements of the application.

In an array-based implementation, we use two pointers: one pointing to the front (also known as “head”) and another pointing to the end (also known as “tail”) of the queue. Elements are enqueued at the tail and dequeued from the head by adjusting these pointers accordingly.

A linked list-based implementation uses nodes connected through pointers. Each node contains an element and a pointer to the next node. The head points to the front element, and tail points to the last element.


In conclusion, queues are essential data structures that follow FIFO order. They find applications in various domains such as operating systems, networking, algorithms, and more. By understanding how queues work and their use cases, you can enhance your problem-solving skills and design more efficient solutions.

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