Fog Computing Vs. Cloud Computing For IoT Projects

Fog Computing Vs. Cloud Computing For IoT Projects

Authored By admin

December 15, 2021

What is cloud computing?

Cloud computing is a term used to describe the supply of on-demand computing services. Over the internet, we can use programs to store and process data. It’s a pay-per-use service.  Without having an own data center, one could rent applications and storage from a cloud service provider. 

What is Fog Computing?

Fog computing is a decentralized architecture or process that distributes computing resources between the data source and the cloud or other data center. Fog computing is a computing paradigm that caters to user requests at the network’s edge. 

However, these devices have limited resources compared to cloud servers. In addition, their geographical dispersion and decentralized nature enable them to provide dependable services across a large area. The physical position of the devices, which are closer to the consumers than cloud servers, is referred to as fog computing.

Fog Computing Vs. Cloud computing. 

It analyzes data close to the gadget and assists in avoiding disaster.

Network Bandwidth

Network Bandwidth hundreds of network edges send vast amounts of data to the cloud, necessitating fog-scale processing and storage. Commercial jets, for example, produce 10 TB per 30 minutes of flight. Fog computing delivers selected data to the cloud for extended storage and historical analysis.

Geographically Diverse

Fog computing improves service quality by processing data from devices located in places with high network density. For example, cloud servers but only connect with IP, not the plethora of protocols IoT devices utilize.

Analysis in Real-Time

Cloud computing does not provide round-the-clock technical support. Fog computing analyzes the most sensitive data.


In cloud computing, private information gets transferred across globalized channels. Fog data is where there are a large number of nodes in the distribution system. As a result, the system is vulnerable to a variety of cyber-attacks.

Expenses of operations

Cloud computing has a license charge and requires less on-premise maintenance than fog computing. 

Fog computing vs. cloud computing for IoT projects

The amount, variations, and speed of data generated by IoT are too much for current cloud models to handle. Fog computing is a novel method for analyzing and acting on data from the Internet. It saves data and makes it accessible.

Cloud computing has a bandwidth limitation, yet fog computing overcomes this by storing data near the ground.  For instance, in the oil sector, pipeline sensors detect a pressure shift. As a result, the pumps get slowed to prevent any mishaps.

Rather than transmitting large amounts of IoT data to the cloud, fog computing analyzes the most time-sensitive data at the network edge, allowing it to act in milliseconds. As a result, fog computing provides for faster replies while lowering network latency and traffic.


Because cloud services are relatively latent and lag in security compared to fog computing, fog computing is not a different architecture. Therefore, it does not replace cloud computing; instead, it expands cloud services with increased bandwidth and improved security features.

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