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Distributed Cloud Computing Frequently Asked Questions

What is the difference between distributed systems and distributed computing?

A distributed system is a networked collection of independent machines that can collaborate remotely to achieve one goal. In contrast, distributed computing is the cloud-based technology that enables this distributed system to operate, collaborate, and communicate.

Why do we need distributed computing?

Distributed computing results in the development of highly fault-tolerant systems that are reliable and performance-driven. Distributed systems allow real-time applications to execute fast and serve end-users requests quickly.

What is the difference between parallel and distributed computing?

Parallel and distributed computing differ in how they function. While distributed computing requires nodes to communicate and collaborate on a task, parallel computing does not require communication. Instead, it focuses on concurrent processing and shared memory.

For example, a parallel computing implementation could comprise four different sensors set to click medical pictures. The final image takes input from each sensor separately to produce a combination of those variants to give the best insights.

To take advantage of the benefits of both infrastructures, you can combine them and use distributed parallel processing.

What makes distributed computing powerful?

Machines, able to work remotely on the same task, improve the performance efficiency of distributed systems. The fault-tolerance, agility, cost convenience, and resource sharing make distributed computing a powerful technology.