What is Distributed Computing?
Tags: distributedcomputing, cloud, cloudcomputing, infosectrain
Published: 2023-05-16 10:34:10

Distributed computing is widely used in today's digital environment, especially in finance, healthcare, and e-commerce industries that require large-scale data processing and analysis. It is also a key component of cloud computing, which has become increasingly popular for hosting and delivering various applications and services. In this post, let us take a closer look at what distributed computing is.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/uugqgd85fay5v2ighogy.jpg)

## **What is distributed computing?**

Distributed computing is a computation method in which data processing and storage are distributed across multiple interconnected devices or systems. In a distributed computing system, each device or system in the network works together to execute the tasks and share data. It allows for the distribution of the computational workload across multiple machines, which can result in faster processing times and greater efficiency. It is used for several applications in various industries, such as big data processing, scientific simulations, cloud computing, cryptography, machine learning and deep learning, and resource sharing.

## **Types of distributed computing architecture**
There are four main types of distributed computing architecture:

**1. Client-server architecture:** In a client-server architecture, the computing resources are divided into two main parts: clients and servers. The servers are responsible for processing the requests and providing the necessary resources, while the clients are responsible for sending the requests and displaying the results.  

**2. Three-tier architecture:** In the three-tier architecture, the computing resources are divided into three main parts: presentation, application, and data storage. The presentation tier is responsible for managing user interactions and displaying information to the user, while the application tier contains the business logic and handles processing requests from the presentation tier. The data storage tier is responsible for storing and retrieving data from a database.  

**3. N-tier architecture**: N-tier architecture is a more general version of a three-tier architecture, where the computing resources are divided into multiple tiers or layers, each with a specific role and responsibility.  

**4. Peer-to-Peer architecture:** In peer-to-peer architecture, the computing resources are distributed across multiple computers, with each computer having equal responsibility and capability. There is no central server or hierarchy; each device can act as a client and server.

## **Benefits of distributed computing**
There are several advantages to using distributed computing, including:

- Increased computational power and speed
- Scalability and the ability to handle large amounts of data
- Enhanced reliability and fault tolerance through redundancy
- Reduced cost through shared resources and hardware utilization
- Improved security through distributed data storage and processing
- Improved security through redundancy and distributed data storage
- Enhanced collaboration and the ability to work on tasks as a team
- Reduced downtime and increased availability of resources
- Flexibility and the ability to adapt to changing workloads and resource requirements

## **Cloud computing with InfosecTrain**

You can enroll in [InfosecTrain's](https://www.infosectrain.com/) various [Cloud Security training](https://www.infosectrain.com/cloud-security-certification-training/) courses if you want to learn about the domain in depth. We provide comprehensive training programs that cover the latest technologies and industry best practices. With access to the recorded sessions and post-training guidance, our experienced instructors will provide you with outstanding learning experiences. We provide industry-recognized certifications that can help enhance job prospects and career growth in the rapidly evolving field of cloud computing.