What is distributed computing system and what is Distributed Computing in Cloud Computing environments? And what are some of the common distributed computing models?
A system known as distributed computing involves several computers cooperating to complete a task or solve a problem. Each computer in this kind of system is referred to as a node, and they all connect with one another via a network. Applications for distributed computing include data processing, financial modeling, and scientific simulations.
In cloud computing contexts, the term “distributed computing” refers to the utilization of several computers or servers to carry out a task or offer a service. Distributed computing is perfect for the cloud since it allows for quick resource provisioning and scalability.
And some of the common distributed computing systems includes, but not limited to:
1. Client/Server paradigm: In this paradigm, a task is carried out by one or more client computers in communication with a server computer. The server computer may be in charge of handling data processing, data storage, or other services.
2. Peer-to-Peer paradigm: In this paradigm, all nodes are on an equal footing and collaborate to complete tasks. This concept is frequently applied in file-sharing programs.
3. Grid Computing paradigm: To create a single computing resource, this paradigm links geographically scattered resources, such as computers and storage devices. Scientific research and other data-intensive applications frequently use grid computing.
4. The MapReduce paradigm is employed to process huge data collections. In order to process a task in parallel, it must be divided into smaller subtasks and distributed among several nodes.
5. The Message Passing Interface (MPI) Model, which involves sending messages between nodes to carry out a task, is a popular model in scientific computing. For the parallel processing of big data sets, the MPI paradigm is frequently employed.