Edge Computing Vs. Cloud Computing | A Comparison

Edge Computing vs. Cloud Computing

It’s a fact that cloud computing has become a massive thing these days. It had to struggle its way among big enterprises to make it to the top. Now, many large and small corporations are using Cloud computing.

They used it because it enabled them to access cloud storage over the internet. They would store their company record, employee details, and all the confidential data on that cloud storage. — It was secure and easy to use.

It wasn’t late until another concept emerged, and thus, edge computing got introduced. The idea was pretty similar to cloud computing, but there was one big difference — the centralization.

Edge computing would provide a cloud-based mechanism, but rather than taking the computing to a cloud server; it will bring the cloud server nearer to the end-user.

What benefit will we gain? — More speed, less latency, and a whole new door opened for digital opportunities.

This article will demonstrate cloud and edge computing, their pros and cons, differences with each other, and who is better.

So, let’s begin!

Cloud Computing

When we talk about cloud computing, we need to keep in mind that all the data is collected and processed through a central mechanism in this type of computing.

A data center is the main focal point where all cloud computing devices are connected. All those devices that ought to access any data or app have to first connect to the cloud data center.

The best benefit of having cloud storage is the safety that a centralized system can provide to all connected computers, even if they are in remote places.

The services provided by cloud storage are scalable. A user has to pay for cloud services whenever they use them. These services can include bandwidth, memory, and processing time.

There are different models of cloud computing. These models are deployed according to their needs. Let me explain a little. Their names are:

Private:

A Private Cloud is a confidential cloud computing system that is limited to a specific organization or entity. It’s designed to be extra-secure. Organizations like the FBI uses private cloud computing.

Public:

Public cloud computing is more like an open cloud service that is commercially available for any public use. An individual can develop and deploy a public cloud service without involving any financial service or a corporation.

Community:

A community cloud infrastructure is constructed to allow multiple organizations to use a cloud service mutually. Companies with similar goals and interests take benefit from this cloud service. It also saves cost and mainly involves a third-party inside.

Hybrid:

As the name suggests, Hybrid cloud computing is a mixture of all of the three above infrastructures. Sometimes a company needs a customized cloud framework, and a hybrid cloud can be the best solution. It allows them to move data and apps from one cloud space to the other.

The Pros Of Cloud Computing

Let’s discuss cloud computing and its pros.

Flexible

Cloud computing allows organizations to add additional resources to it whenever need be. It helps companies grow more customers. One can adjust the scale of cloud computing according to their needs — so that makes it flexible.

Reliable

A centralized cloud system would help the connected devices with disaster recovery and support in multiple redundant sites.

Well-Maintained

Those who provide cloud systems would do regular maintenance checks to make sure that it’s working correctly.

Saves Costs

Cloud computing saves costs for adding a physical storage device. It’s also easier to operate and maintain, which provides less cost expenditure on the IT department.

So, this was the basic idea about cloud computing. I tried to keep it simple and fast. Now, let’s not wait any further, dig into Edge computing and tell you what functionality it provides.

Edge Computing

Edge Computing is a phenomenon where a decentralized computing infrastructure allows different computer resources and applications to connect.

A decentralized approach is what gives edge computing its name. Like cloud computing, Edge computing will also connect the user to the cloud, but instead of waiting to connect to the cloud, the cloud will shift closer to the edge.

Edge computing helps lower the latency period, which is what high-performance computers need.

Many organizations can significantly benefit from edge computing, especially those who want no delays in processing speed. The innovative computational power that edge computing provides is much better than cloud computing.

A decentralized system also gives the benefit of not having any disconnection issues. A central approach might become troublesome if the data center is not responding.

While we’re at it, let me give you some real-life examples of edge computing to understand the concept better.

OTT Platforms

Our streaming platforms like Netflix, Amazon Prime, HBO Max, and Hulu are good examples of edge computing mechanisms. These streaming services have millions of people using them at the same time at different remote locations.

Such a heavy traffic load can slow down a centralized network infrastructure. But with these platforms being on an edge computing mechanism, the user gets relief. The content that is most in demand is cached in facilities closer to the end-users so they can get instant access to them.

Smart Homes

You’re already aware of smart homes. However, most of these intelligent home appliances are still using cloud computing, which could put a tremendous load on their infrastructure.

The need of the hour is a computing mechanism that processes closer to our end-device, which is why edge-computing devices are now being introduced that can do quick decision making in regular times and emergencies alike.

For example, it reduces the risk of someone hacking your CCTV cameras from the centralized cloud storage.

Self-Driving Vehicles

Self-Driving vehicles need to process a vast amount of data in real-time. They have to compile the data of their current location as well as their surroundings. A centralized cloud computing approach can halt or delay seconds, so these autonomous vehicles carry edge-computing inside their systems, which would perfectly work.

Pros Of Edge Computing

Let’s dive into the pros of edge computing.

Reduced Costs

Data migration and latency is a big issue in cloud computing. It can cost many bucks to have them. Edge computing makes sure that you don’t have to mess with it as it has less bandwidth requirement and latency.

Smart Data Transfer

Edge computing intelligently gathers only the valuable data that is crucial for processing and ignores the rest. It saves you data resources as you don’t need to transfer GBs of data to the cloud.

Data Protection

Edge computing analyzes confidential and sensitive IoT data inside a private network and protects it from the public view. It follows the most rigid security protocols.

Improved Performance

Edge computing takes care of the locally collected data by processing it and performing necessary actions. The whole procedure happens in milliseconds and provides a much faster computational speed than cloud computing. It cuts the middle-man and brings the cloud and end device closer.

The Comparison — Cloud vs. Edge

Okay. This one’s tricky. But let me explain.

First of all, you must understand that cloud computing and edge computing are different technologies. Most would say that edge is similar to the cloud after describing it, but that is not the case.

Edge computing works on a time-driven mechanism, while cloud computing helps process data that is not time-driven.

Most people would prefer edge computing over cloud in remote locations. The reason is that due to limited or poor internet connectivity, it’s sometimes a challenge to connect to the central data server. A mini data center close to the location would wonders, which is why the edge is better.

Moreover, as I told you about autonomous vehicles and smart homes — edge computing will be a better option for them as it processes data in milliseconds without any latency. It won’t wait.

Medium-scale industries that have a limited budget would prefer edge computing as it saves data transfer and resources. On the other hand, cloud computing is more suitable for organizations that need to share massive data.

When it comes to programming, several different platforms with different runtimes are used in edge computing, while cloud computing has one targeted platform and uses one programming language.

Edge computing might need a high-performance security plan that would include 2-F authentication to provide data attacks; meanwhile, cloud computing needs less security.

Software consulting company that focuses on emerging technology such as AI, Blockchain, Cloud Computing, and Data Engineering, MERN Stack, and Fintech

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