5 Advantages and Disadvantages of Fog Computing | Limitations & Benefits of Fog Computing

Post Top Ad

5 Advantages and Disadvantages of Fog Computing | Limitations & Benefits of Fog Computing

Share This
5 Advantages and Disadvantages of Fog Computing | Limitations & Benefits of Fog Computing

5 Advantages and Disadvantages of Fog Computing | Limitations & Benefits of Fog Computing


A significant amount of data was generated as IoT devices evolved. There is a large bandwidth demand for these data. Fog computing was created because cloud computing is unable to meet these objectives.

It isn't thought to be a substitute for cloud computing, though. It was created as a whole to address every technical challenge the cloud encountered. Fog computing can help you retrieve data quickly and effectively. To put it briefly, it facilitates data management, access, analysis, and storage.


It has a lot of advantages for the IT infrastructure, but it also has a lot of disadvantages. in particular because of their decentralized organization. Determining whether something will be beneficial for your business will be made easier if you are aware of its benefits and drawbacks.

I'll be outlining the 5 Advantages and Disadvantages of Fog Computing | Limitations & Benefits of Fog Computing. You will, at last, understand the pros and cons of fog computing after reading this piece.

Now let's get started,

Advantages of Fog Computing

1. Privacy

One way to manage privacy is using fog computing. Rather than being sent to a centralized cloud infrastructure, any sensitive user data can be evaluated locally. 


The IT staff will be able to locate and manage the relevant device in this manner. 


Additionally, any subset of data that requires analysis can be transferred to the cloud.

2. Productivity

Customers can use fog programs to customize the machine's operation to their specifications. 


Developers can create these fog applications with ease if they have the proper tools. Once development is complete, it can be implemented anytime desired.

3. Security

Fog computing allows several devices to be connected to the same network. 


As a result, rather than occurring in a single location, the processes occur at multiple end points inside a complicated distributed environment. 


As a result, it is simpler to spot such risks before they affect the entire network.

4. Bandwidth

Depending on the resources, the bandwidth needed to transfer data may be costly. 


The fact that the chosen data can be processed locally rather than being sent to the cloud results in extremely low bandwidth needs. 


The reduction in bandwidth will be especially helpful as the number of IoT devices rises.

5. Latency

Saving latency is another advantage of processing certain data locally. The data can be processed at the data source that is closest to the user geographically. 


This can result in prompt responses, particularly for services that require urgency. 

Disadvantages of Fog Computing

1. Complexity

The idea of fog computing can be challenging to comprehend because to its intricacy. 


Numerous devices, dispersed over several areas, each store and process a unique collection of data. 


This can make the network more intricate. Furthermore, a fog infrastructure consists of more advanced fog nodes.

2. Security

A fog computing architecture includes a variety of devices and fog nodes, as was previously indicated. These fog nodes might be situated in an environment that is less safe. 


Hackers can quickly and simply spoof an IP address to get access to the relevant fog node. 


If not, they raise the possibility of damaged files entering the primary data stream and affecting the organization as well as the device. They become open to Man-in-the-Middle assaults as a result.

3. Authentication

A fog computing provides large-scale services. The cloud providers, internet service providers, and end users make up the fog computing. 


This frequently leads to problems with authentication and confidence in the mist.

4. Maintenance

Maintenance in fog is not as seamless as it is in cloud architecture. More upkeep is required because controllers and storage are dispersed throughout the network. 


For processing, the fog architecture is dispersed.

5. Power Consumption

In a fog environment, the quantity of fog nodes and their energy usage are closely correlated. 


It implies that a significant amount of energy is needed for these fog nodes to operate. 


In a fog infrastructure, the number of fog nodes increases together with their power consumption. Most businesses frequently use these fog nodes in an attempt to reduce costs.

No comments:

Post a Comment