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Process-based and Thread-based Multitasking

  • Difficulty Level : Easy
  • Last Updated : 16 Aug, 2019

Prerequisite – Thread, Difference between multitasking, multithreading and multiprocessing
A multitasking operating system is an operating system that gives you the perception of 2 or more tasks/jobs/processes running at the same time. It does this by dividing system resources amongst these tasks/jobs/processes and switching between the tasks/jobs/processes while they are executing over and over again. Usually CPU processes only one task at a time but the switching is so fast that it looks like CPU is executing multiple processes at a time. They can support either preemptive multitasking, where the OS doles out time to applications (virtually all modern OSes) or cooperative multitasking, where the OS waits for the program to give back control (Windows 3.x, Mac OS 9 and earlier), leading to hangs and crashes. Also known as Timesharing, multitasking is a logical extension of multiprogramming.

Multitasking programming is of two types –

  1. Process-based Multitasking
  2. Thread-based Multitasking.

Process Based Multitasking Programming –

  • In process based multitasking two or more processes and programs can be run concurrently.
  • In process based multitasking a process or a program is the smallest unit.
  • Program is a bigger unit.
  • Process based multitasking requires more overhead.
  • Process requires its own address space.
  • Process to Process communication is expensive.
  • Here, it is unable to gain access over idle time of CPU.
  • It is comparatively heavy weight.
  • It has slower data rate multi-tasking.

Example – We can listen to music and browse internet at the same time. The processes in this example are the music player and browser.

Thread Based Multitasking Programming –



  • In thread based multitasking two or more threads can be run concurrently.
  • In thread based multitasking a thread is the smallest unit.
  • Thread is a smaller unit.
  • Thread based multitasking requires less overhead.
  • Threads share same address space.
  • Thread to Thread communication is not expensive.
  • It allows taking gain access over idle time taken by CPU.
  • It is comparatively light weight.
  • It has faster data rate multi-tasking.

Examples – Using a browser we can navigate through the webpage and at the same time download a file. In this example, navigation is one thread and downloading is another thread. Also in a word-processing application like MS Word, we can type text in one thread and spell checker checks for mistakes in another thread.

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