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What is Swapping in OS?

Published in Operating Systems 2 mins read

Understanding Swapping

Swapping is a memory management technique used by operating systems (OS) to increase the number of processes that can run concurrently on a system with limited physical memory. It involves moving processes or parts of processes between main memory (RAM) and secondary storage (usually the hard disk) to make space for other processes.

How Swapping Works

  1. Process Loading: When a process needs to be run, the OS loads it into main memory.
  2. Memory Shortage: If the available RAM becomes insufficient for new processes, the OS selects a process to swap out.
  3. Swapping Out: The selected process is moved from RAM to secondary storage.
  4. Swapping In: When the swapped-out process needs to be executed again, it is loaded back into RAM from secondary storage.

Benefits of Swapping

  • Increased Multiprogramming: Allows more processes to run concurrently, even with limited RAM.
  • Improved Resource Utilization: Enables the OS to utilize available memory more effectively.

Drawbacks of Swapping

  • Performance Overhead: Frequent swapping can lead to significant performance degradation due to the time taken to move data between RAM and disk.
  • I/O Bottleneck: Increased disk activity can create an I/O bottleneck, slowing down the system.

Practical Examples

  • Running a Large Application: When you run a large application that requires more memory than available, the OS might swap out less-used parts of other processes to make space for the new application.
  • Multitasking with Limited RAM: On a system with limited RAM, swapping allows you to run multiple applications simultaneously, even if their combined memory requirements exceed the available RAM.

Conclusion

Swapping is a memory management technique that allows operating systems to run more processes than available physical memory by moving processes or parts of processes between RAM and secondary storage. While it offers benefits like increased multiprogramming and resource utilization, it also has drawbacks such as performance overhead and I/O bottlenecks.