What Is Distributed Computing In Cloud Computing?


The development of computer network technologies over the past two decades has been significantly demonstrated by distributed cloud computing. Additionally, the introduction of the internet brings about significant developments in computing technology. As a result, distributed cloud computing systems are one of these cloud technologies. 

Businesses can benefit from moving to the cloud. It takes some consideration to determine which model is best for your organization. However, according to its numerous examples, distributed cloud computing is the next iteration of cloud computing. 

So, in this article, we’ll talk about different distributed cloud computing examples and delve more deeply into the idea. 

What Is Distributed Computing?  

A distributed computer system is made up of various software components that run as one system, even though they are spread across various computers. A distributed system’s computers can be geographically separated and linked by a wide area network or physically close to one another and connected by a local network. Any combination of mainframes, personal computers, workstations, minicomputers, and other computing devices can form the basis of a distributed system. Distributing such a network like a single computer is the objective of distributed computing. 

Distributed computing enables higher levels of agility when managing expanding workloads because of how quickly and easily new computing resources can be provisioned. As a result, “elasticity” is made possible, allowing a computer cluster to easily grow or shrink in response to the demands of the current workload. 

Why Do We Need Distributed computing?  

Without distributed computing systems, modern computing would not be possible. They are necessary for the operation of the internet, cloud computing services, and wireless networks. None of these technologies would exist without distributed systems. 

But are distributed systems still necessary for enterprise-level tasks that lack the complexity of a full telecommunications network? Generally speaking, the answer is “yes.” Monolithic systems cannot scale or perform better than distributed systems, which can also offer features that would be challenging or impossible to develop on a single system due to their ability to tap into the resources of other computing devices and processes. 

This includes actions like performing an off-site server and application backup; in this case, the master catalog can ask another off-site node or nodes to send the segments if it can’t find them for a restore. Sending emails, playing games, or reading this article on the web—pretty much everything you do with a computing device uses distributed systems’ power. 

How Does Distributed Cloud Computing Work? 

We can see that distributed computing changes as needs and circumstances change. Additionally, its applications are primarily designed to carry out operations using the internet, specifically the cloud. 

Furthermore, it’s critical to realize that distributed computing involves application components running on various networks. These components must communicate with one another via messaging or APIs. Thus, this supports the goal of enhancing overall application performance and computing efficiencies. 

As a result, distributed cloud computing grows the centralized cloud by assigning micro-cloud satellites to specific locations. Even so, the cloud provider keeps an eye on the distributed environment’s performance, updates, compliances, security, and dependability. 

In other words, the customer still has access to all satellites, cloud services, etc., as a single cloud. As a result, the customer controls and manages every operation from a single control panel.

Advantages of Distributed Computing

Compared to centralized systems, distributed systems have several advantages, such as the following: 

Scalability: When more machines are required, the system is easily expandable. 

Redundancy: Since multiple machines can offer the same services, work continues even if one is down. Additionally, this redundancy can be relatively inexpensive because numerous smaller machines can be used. 

Lower Latency: It helps to improve applications’ responsiveness and performance during delivery, especially in cases where latency is a problem and moving large amounts of data to a single cloud is expensive. 

Data Security and Control: A business can keep certain data and processes in its private cloud and integrated public cloud. 

Examples Of Distributed Computing 

The following are examples of distributed computing: 

Edge Computing:  

Distributed cloud and edge computing frequently support simple multi-cloud management, scalability enhancement, and development velocity. Furthermore, the distributed cloud enables the deployment of contemporary automation and decision-making functionality and applications. 

Automotive Industry:  

With the use of distributed cloud computing, the development of partially autonomous and self-driving cars is increasing. Furthermore, real-time data collection, traffic data access, and data processing and evaluation for quick decision-making were the main design considerations for these vehicles. 


Additionally, distributed cloud computing offers the chance to examine and present massive data sets. As a result, given the growth of data in healthcare, this is a fantastic opportunity. Additionally, distributed cloud computing offers the healthcare sector countless opportunities. 

Content Delivery Network:  

Similar to the Internet, CDN relies on the edge and distributed cloud computing technologies for its power. Additionally, Netflix and YouTube are two of the most well-known instances of distributed cloud computing. 


Vendors and analysts agree that distributed cloud technology is gaining traction in consumers’ and service providers’ minds, making the term “distributed cloud computing” the IT industry’s buzzword. Distributed Cloud Computing services are poised to reduce IT costs while assisting businesses in becoming more responsive to market conditions. For programs that will help you gain hands-on industry knowledge and learning experience, do check the array of offerings from UNext.

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