Edge computing is the distributed computing that brings data storage computation closer to the area where it required. The advantage of this is it saves response time and saves bandwidth. 

Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user.

All companies and industries are moving their applications and data to the cloud. Today, 70 percent of organizations have at least one application in the cloud and even 28% of the whole budget is set for cloud computing by the industries, indicating that enterprises are realizing the benefits of cloud computing and slowly adapting.

Why Is Edge Computing Needed When Cloud Computing Is Available?

The process of cloud computing is slow. First of all, it as to access the centralized data point with the high-speed internet, and then the machine using it will take some sort of decision and after this trajectory, the machine itself will be able to take the decision. If you use it in an autonomous car, the car would hit the barrier before taking the decision.

But we don’t want the car to hit, right? So, what else can we do?
Yes, there is the answer to this problem; edge computing. Edge computing processes the data the is on the edge and within milliseconds transfer information among different parts of the machine to keep the things smooth and avoid any damages.

All those industries that need faster processing and faster responses of their systems should use edge computing otherwise any delay in the decision making can cause a lot of cost to the computing. However, if the latency delay does not cost your business. Then you can be fine with cloud computing.
We can say in the growing age of IoT where we need real-time feedback. Edge computing is necessary to implement.

Edge Vs Cloud Computing: Which Is Better?

It is difficult to say which technology is better. As they are interchangeable and they have their advantages according to the company and environment they are operating in. Cloud computing is usually used at places where the data is not so sensitive and there exist exclusive access to connectivity every. On the other hand, it deals with very sensitive information and it is most useful for remote locations where there is no connectivity to some central point. It is the same as mini data centers but an efficient to extract information from data storage spaces with lesser bandwidth.

Edge computing is beneficial for customized and intelligent devices. The devices are comparable to PCs but can’t afford to do regular computation. They are made to collect a specific set of data and respond to the environment accordingly.

Example

An example of these could be an autonomous vehicle. It collects the data of the road continues driving accordingly. On average, it may take 100 milliseconds for data transmission between vehicle sensors and backend cloud datacenters. It looks like a small delay but in terms of driving decisions, this delay can have significant impact on the reaction of self-driving vehicles.

According to the research, we can say that there is no comparison between the technologies but companies and industry experts says that cloud computing is at its peak and now its falling time would start. And in this falling time edge computing will rise and walk to its peak era.

The grooming technologies like 5G conectivity and AI are paving path for Edge computing too. You can achieve computing possibilites nearer to logical edge with 5G making the data transmission faster. AI will further facilitate intelligent decision-making capabilities in real-time, allowing systems to react faster than humans in response to abrupt changes.