What is a distributed algorithm?
Distributed algorithm is a specific type of algorithm used in computer software that must use different connected processors. The distributed algorithm is responsible for the operation of various parts of the algorithm at the same time, each on a different processor. The processors must then communicate with each other to start the software properly.
In order to understand the distributed algorithm, it is easiest to explore what is a typical algorithm. The algorithm is a defined process that outlines from the beginning to complete the steps that must be done to complete the desired process or solve the problem. For example, an algorithm for a letter mail would go something along:
1. Get an envelope
2. Open envelope
3. Put the letter
4. A close envelope
5. Connect the stamp
This would continue until the process is completed. Some steps can turn to other steps. You would tell a person what to do if he couldn't finish one of the main steps Anakonec would lead him back to the original algorithm.Importantly, the algorithm must eventually have terminated no matter what way it gets to achieve.
technically anything that is defined by the process can be an algorithm, such as the above example for the letter of the letter. A computer algorithm is an algorithm designed to make a computer message what to do. It has the beginning and end step with a few steps between them. It helps the computer to perform the action and instructs it what to do when something goes wrong. If a file that a computer needs can order it to skip or take an alternative step in place.
The difference between the algorithm and the distributed algorithm is simply that the distributed algorithm is designed to run on separate processors, while a regular computer algorithm would not be. Each processor performs a different part of the total algorithm simultaneously and then hand over the results.
when using distributed AlThere are several problems of gorithms. One processor could fail, which caused this part of the algorithm to stop working. There could also be a communication problem between processors that would prevent the distributed algorithm to reach the end of the process. Many programmers study distributed algorithms to find out ways to overcome these problems and ensure that the algorithm is completed even if a technical error occurs.