Fog Computing Vs Cloud Computing: The Role in IoT

Cisco developed the network of Fog computing in 2014. Fog computing is also renown as Edge Computing or fogging. Fog computing is the extension of cloud computing. It facilitates the computer, networking services, and storage between cloud computing data centers and end devices. Fog computing makes the process of IoT more easy and efficient cloud data processing.

Cloud computing process the data of a remote server across the internet. It manages, stores, and uses data from a local computer. When the user thinks that it is easy to use the vendor’s computer, service, and storage, then cloud computing fulfills the user’s demand. In cloud computing, there are SaaS, IaaS, and PaaS services. On the other hand, several types of networks like private cloud, public cloud, and hybrid cloud are available there.

IoT is elaborate as the internet of things. The concept of IoT is every device connects to the internet and a server. The process can be used through fog computing or cloud computing. When the end-user sends a request to the server through their smart gadget, then the order will execute from anywhere in the world. Actually, IoT has the same concept as computing or cloud computing.

Fog Computing Vs. Cloud Computing

Fog Computing Vs Cloud Computing The Role in IoTThough Fog Computing and Cloud Computing seem to be the same, there is a lot of difference. Some of the differences are as follows. We also consider the IoT review to make the differentiation:


Fog computing network has low latency. On the other hand, Cloud Computing has low latency but not so much low as Fog Computing.


The main benefit of fog computing that it reduces the volume of data sent to cloud computing. Cloud computing is to keep the backup. It does not reduce any data.


Fog Computing protects the volume of bandwidth. On the other hand, Cloud computing saves less compared with Fog Computing.


In Fog Computing, the response time of the system is very high. In contrast, In Cloud Computing, the Response time of the system is low.


Fog computing has high Security. On the other hand, the security of cloud computing is high but less compared to Fog Computing.


The first one is high even more compared to the second one. It depends on the VM connectivity.

Data Integration

In Fog, multiple Data devices and Sources can be integrated. In the cloud, multiple data sources can be integrated.

How Fog Computing Works

The entire process of fog computing happens inside a data hub on a smart gadget. This technique is useful at IoT or the internet of things by using the sensor. There is a huge volume of data and not enough to give away all the data, then the bunch of sensors causes the cloud for analysis and process. There is a great requirement of bandwidth in cloud computing, but fog needless.

The high-end device and sensors produce data and do not have the storage capacity to analyze tasks and machine learning. Although, cloud server has the power to process but needs time to get the response from the cloud server. At the endpoint, the collection and sending of data from the cloud server are managed by different countries. Data security and confidentiality may lose if the hostile country wants.

In foggy computing, the processing occurs in the data hub on an intelligent gateway, intelligent router, or intelligent device. The fact is, the cloud computing component remains the same, with no change in its configuration. Finally, the fog server transmits data to a cloud server. So fog computing is called the extension of cloud computing.

How Cloud Computing Works

Cloud computing can break down into two sections: front end and back end. The front end is the consumer end or client computer. It is connected with a network over the internet. The back end is connected with the cloud server.

The client computer means the front end requires a software application to access the computer processing system. It is not required to have all the client devices the same application or same interface. At the cloud server end, varieties of the cloud server, data storage systems, and different networks make up the “Cloud”.

Different software as a service, infrastructure as a service, and developing the platform is known as cloud computing. Real-time video games, business intelligence software are examples of cloud computing.

Pros of Cloud Computing

Lover Cost

In cloud computer applications run in the cloud, so needless hardware cost. The desktop does not need any extra processing power.

Improve performance

In cloud computing, the processing speed is high. So the performance is high. It takes a few memory to process.

Reduce software cost

In cloud computing, the software can be taken on a rental basis. Software as a service can reduce the cost of your organization.

Up-to-Date Software

Cloud computing service providers offer various high-cost software. Since they specialized, so all the software are up-to-date.

Improved Document Format Compatibility

The vendors make money, so it is their responsibility to provide all support. The device support all the document format.

Cons of cloud computing

Common infrastructure restriction

In cloud computing, you get to access all the globally linked available resources. You have to experience “Noisy Neighbor” in this process. However, a private cloud can reduce the risk. Internet connection is another vital factor which has to address.

Security issue

The recent iCloud risk is obviously anxious. Advanced encryption and firewall systems can solve this problem.

Pros of Fog Platform

Both the computing have some benefits, but the fog has something different. The advantage of computing compare to cloud computing are:

  • Minimize latency: This computing minimizes latency than any other computing.
  • Conserve network bandwidth: Compare to other cloud network fog is more Conserve network bandwidth.
  • Address security concerns: Security is a vital concern at all levels of the network. So fog is more repayable for security.
  • Fog computers operate reliably with quick decisions
  • This computing collect and secure a wide range of data
  • Fog move data to the best place for processing
  • Another vital advantage is lower expenses of using high computing power using less bandwidth.
  • Better analysis and insights of local data

Cons of Fog computing

Physical location

In cloud computing, all the data is accessible from anywhere in the world. But in fog computing, there is a restriction of sharing data.


In fog computing, there is a different platform. Some experts things that there is a safety issue of data on the decentralized network.


Many networks like private, public, hybrid, and different protocols confuse the general mind.

Final Thought

Fog computing and cloud computing is used in IoT. The pros and cons of both are the best explanation of IoT requirements. When speed is the priority, then fog computing is a must. On the other hand, where data need more security, there needs cloud computing of IoT. Moreover, computing is a device to devise a network, but cloud computing is the server to the server network. In IoT, people are more focusing on fog computing.

Hawlader's passion for technology has driven him to be an avid writer for over 16 years. His vast knowledge of the Windows and Android operating systems is a testament to his proficiency in the field. In addition to his expertise in open source software, he also possesses an extensive understanding of the open-source platform, making him a valuable resource for technology enthusiasts. His contributions to FossGuru writers with research-based articles have helped readers to stay up-to-date with the latest trends in the tech industry. Furthermore, Hawlader's curiosity for scientific breakthroughs has led him to be a keen reader of science blogs, keeping him informed about the latest developments in the field.

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