Written by Dinesh Thakur

Multi programming: Multiprogramming is the technique of running several programs at a time using timesharing. It allows a computer to do several things at the same time. Multiprogramming creates logical parallelism. The concept of multiprogramming is that the operating system keeps several jobs in memory simultaneously.


The operating system selects a job from the job pool and starts executing a job, when that job needs to wait for any i/o operations the CPU is switched to another job. So the main idea here is that the CPU is never idle Multi tasking: Multitasking is the logical extension of multi-programming.


The concept of multitasking is quite similar to multiprogramming but difference is that the switching between jobs occurs so frequently that the users can interact with each program while it is running. This concept is also known as time-sharing systems. A time-shared operating system uses CPU scheduling and multiprogramming to provide each user with a small portion of time-shared system.


For example, let us say you are printing a documet of 100 pages. While your computer is performing that, you still can do other jobs like typing a new document. So, more than one task is performed.

One of the main differences between multiprogramming and multitasking is, "In multiprogramming, a user cannot interact (everything is decided by OS, like picking the next program and sharing on time basis, etc...) where as in multitasking, a user can interact with the system (you can type a letter, while the other task of printing is going on)"


Multi threading: An application typically is implemented as a separate process with several threads of control. In some situations a single application may be required to perform several similar tasks for example a web server accepts client requests for web pages, images, sound, and so forth. A busy web server may have several of clients concurrently accessing it. If the web server ran as a traditional single-threaded process, it would be able to service only one client at a time.


The amount of time that a client might have to wait for its request to be serviced could be enormous. So it is efficient to have one process that contains multiple threads to serve the same purpose. This approach would multithread the web-server process, the server would create a separate thread that would listen for client requests when a request was made rather than creating another process it would create another thread to service the request. To get the advantages like responsiveness, Resource sharing economy and utilization of multiprocessor architectures multithreading concept can be used.


This type of programming helps when more than one client uses it. For example, let us take our DB. While I'm typing this post, there would be someone else, doing the same type of job. If DB is not having a multithread option, then not more than one person will be able to do the same job.

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Dinesh ThakurDinesh Thakur is a Columinist and designer with strong passion and founder of Computer Notes. if you have any ideas or any request me @
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