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.
