Distributed computing is a model where independent computers work together to act as a single system, improving performance through task-sharing across a network. It includes various architectures such as client-server and peer-to-peer and offers advantages like reliability, scalability, and high performance. The system allows for efficient communication between components and supports flexibility in installing and debugging services.

1. Distributed Computing
A distributed system is a collection of independent computers that appears to its users as a single
coherent system. Distributed Computing is a model in which components of a software system are
shared among multiple computers to improve performance and efficiency.
All the computers are tied together in a network either a Local Area Network (LAN) or Wide Area
Network (WAN), communicating with each other so that different portions of a Distributed
application run on different computers from any geographical location. A computer program that
runs within a distributed system is called a distributed program. In distributed computing, a problem
is divided into many tasks, each of which is solved by one or more computers, which communicate
with each other via message passing.
Click on link for free to learn more:- https://uii.io/DistEng-1
Distributed Computing Architecture
Distributed Computing architecture is characterized by various hardware and software level
architecture. At a lower level, it is necessary to interconnect multiple CPUs with some sort of
network, regardless of whether that network is printed onto a circuit board or made up of loosely
coupled devices and cables. At a higher level, it is necessary to interconnect processes running on
those CPUs with some sort of communication system.
Distributed programming typically falls into one of several basic architectures: client-server,
three-tier, n-tier, or peer-to-peer; or categories: loose coupling, or tight coupling.
Hurry up to learn more on click button:- https://uii.io/DistEng-2
Advantages of Distributed Computing
● Reliability, high fault tolerance: A system crash on one server does not affect other
servers.
● Scalability: In distributed computing systems you can add more machines as needed.
● Flexibility: It makes it easy to install, implement and debug new services.
● Fast calculation speed: A distributed computer system can have the computing power
of multiple computers, making it faster than other systems.
● Openness: Since it is an open system, it can be accessed both locally and remotely.
● High performance: Compared to centralized computer network clusters, it can provide
higher performance and better cost performance.Your will not know well before
watching practical video, lets click on link:- https://uii.io/advtcomputing-3