What are the advantages of distributed processing?

Distributed processing describes various computer systems that use more than one processor to run an application. Multiple computers across different locations share the same processor. The advantages of distributed processing are:

  1. Data Recovery: When one computer loses data, another interconnected computer can recover this loss of data.
  2. Reliability: Any glitch in one machine does not affect the processing since it will use several other machines.
  3. Lower Cost: Several cost-effective minicomputers are used instead of using costlier mainframe machines.
  4. Easy to expand: Depending on the data processing amount, we can attach additional computers to the network.

The distributed system allows cheap machines to work in an orchestrated ballet to solve a problem. It allows horizontal scaling where you can add more machines when more requests come.

There is a limit to the vertical scaling i. e. A single machine can’t be infinitely large.

Distributed system adds redundancy and resiliency. You can save same data in multiple machines. Thus, even if one of them dies you can recover the data.

It allows content distribution. Instead of getting all the data, send the request to the nearest server.

It allows parallelism. Instead of running a single task in a machine now you can run several tasks at a time.