What Is the Application of Queue Data Structure?


Scott Campbell

What Is the Application of Queue Data Structure?

A queue is a linear data structure that follows the FIFO (First-In-First-Out) principle. In other words, the element that is inserted first is the one that comes out first.

This data structure has numerous applications in computer science and real-world scenarios. Let’s explore some of the key applications of queue data structure:

1. Operating Systems

Queues are extensively used in operating systems for process scheduling.

When multiple processes are running concurrently on a system, they need to be scheduled and executed in an orderly manner. Queues help in managing these processes by maintaining an order based on their priority or arrival time.

2. Print Spooling

Have you ever wondered how your computer manages to print multiple documents without getting confused?

Queue data structures play a vital role in print spooling. When multiple users send print requests simultaneously, these requests are added to a queue and processed one by one, ensuring that each document is printed correctly.

3. Web Server Request Handling

Web servers handle numerous requests from users concurrently.

To manage these requests efficiently, queue data structures are utilized. Incoming requests are added to a queue and processed based on their arrival time or priority.

4. CPU Task Scheduling

In computer architecture, queues are crucial for task scheduling in CPUs (Central Processing Units). The CPU processes tasks based on their priority or arrival time, and queues help in maintaining the order of execution.

5. Traffic Management Systems

Traffic management systems heavily rely on queues for efficient traffic flow control at intersections or toll booths. Vehicles arriving at an intersection or toll booth are placed in a queue and allowed to pass in a specific order, minimizing congestion and ensuring a smooth flow of traffic.

6. Call Center Systems

Queue data structures are widely used in call center systems to handle incoming customer calls. When all the operators are busy attending to other calls, new calls are placed in a queue and processed one by one, ensuring fair distribution of workload.

7. Job Scheduling

Queue data structures find applications in job scheduling algorithms. These algorithms determine the order in which jobs or tasks are executed, optimizing resource utilization and improving system efficiency.


The queue data structure is an essential tool for managing and organizing various processes and tasks in computer science and real-life scenarios. Its applications span across operating systems, print spooling systems, web server request handling, CPU task scheduling, traffic management systems, call center systems, job scheduling algorithms, and many more. Understanding the concept of queues and their applications can greatly enhance your problem-solving skills as a programmer or system designer.

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