Advantages and Disadvantages of Distributed Computing

Distributed Computing

To amplify the throughput and for the utmost exploitation of the computing power of a system in a network. We may utilize distributed computing. A system is not completely busy all the time. Several systems remain idle many times, so if the idle time of various systems is integrated and used for computation, which functions for the highest consumption, that is known as distributed computing. It utilizes those idle resources that are not utilized for some reason or other.

For the highest consumption, free-time dispersion is occasionally uploaded to allocate a computing network and to unite with other PCs in the project. If sufficient computers are involved in the computing process, it replicates the dispensation power of bigger supercomputers and processors.

Advantages of Distributed Computing

1. Scalability: In distributed computing systems you can add more machines as your requirement.

2. Flexibility: It makes it easy to install, implement and debug new services.

3. Reliability: A system crash on one server does not affect other servers.

4. Fast Calculation Speed: A distributed computer system can have the computing power of multiple computers, making it faster than other systems.

5. Access Remote: Since it can be accessed both locally and remotely.

6. High performance: It compared to centralized computer network clusters, it can provide higher performance and better cost performance.

Disadvantages of Distributed Computing

1. Growing computing power at every data center.

2. Growing storage facility.

3. Under-consumption of the resources in various scattered data centers.

4. Rise in maintenance expenses of data centers.