What Are the Applications of Stack and Queue in Data Structure?


Angela Bailey

When it comes to data structures, two commonly used concepts are stack and queue. Both stack and queue have their own applications in various fields of computer science. In this article, we will explore the applications of stack and queue in data structure while using HTML styling elements to make the content visually engaging.


A stack is a linear data structure that follows the Last-In-First-Out (LIFO) principle. It means that the last element added to the stack will be the first one to be removed. The simplicity and efficiency of stacks make them suitable for several applications:

  • Function call stack: Stacks are extensively used for managing function calls in programming languages. When a function is called, its local variables and return address are pushed onto the stack, allowing nested function calls and proper control flow.
  • Expression evaluation: Stacks play a crucial role in evaluating expressions.

    Infix expressions can be converted to postfix or prefix form using stacks, which makes them easier to evaluate.

  • Undo/Redo functionality: Many software applications provide an undo/redo feature. Stacks can be utilized to keep track of changes made by users, allowing them to undo or redo actions efficiently.


A queue is another linear data structure that follows the First-In-First-Out (FIFO) principle. It means that the element which enters first will also leave first. The versatility of queues enables their application in various scenarios:

  • Job scheduling: Queues are widely used in job scheduling algorithms where multiple processes compete for resources. Each process enters a queue and gets executed based on priority or arrival time.
  • Buffer management: Queues are often used to manage buffers in operating systems.

    Data arriving at a higher rate than it can be processed is stored in a queue until it can be handled.

  • Breadth-first search: Queues are an essential component in graph traversal algorithms like breadth-first search (BFS). In BFS, nodes are visited layer by layer, and a queue is employed to keep track of the next nodes to explore.

In conclusion, stack and queue are fundamental data structures with their own unique applications. Stacks excel at managing function calls, evaluating expressions, and implementing undo/redo functionality.

On the other hand, queues find extensive use in job scheduling, buffer management, and graph traversal algorithms like BFS. Understanding the applications of stack and queue is crucial for any programmer or computer science enthusiast.

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