Fog computing is the network fabric that stretches from data creation edge to data storage end. It is an extension of cloud computing to the network edge making it suitable for the internet of things (IoT) and for all other applications that require real time interaction.

How Fog Computing Works?

Fog computing environment consists of two planes; control plane and data plane. Control plane provides the outline of the network structure and data plane controls the transfer, it decides what happens to data packets when they arrive from a source.

Data plane allows computing resources to be placed anywhere on the network. These planes can be distributed to desktops and mobile devices on the edge of network.

For this to work the network itself will have a number of ‘fog nodes’ that receive data from devices in real time and will either process it directly or store it temporarily pending it being passed elsewhere.

This approach of information handling is becoming more popular with increasing IoT devices. IoT devices create a large amount of data and transmitting it to cloud requires larger bandwidth and greater latency. Fog computing allows IoT data to be processed in a data hub or smart device closer to the sensor that’s generating it.


The key to using this effectively is prioritizing the data packets and routing them accordingly. The most critical data is kept on the fog node closest to the device which is generating it, the node initiates the actions that need to be carried out instantly, like closing a valve. 

Data that can wait a little longer is passed further up the line as resources and bandwidth permit to an aggregation node. And data that is simply historical or big data analysis will be passed directly to the cloud or data centre as soon as the resources become available.

How Companies are Benefiting From Fog Computing?

Fog Computing is adding value to business in a unique way. Let’s explore some of its benefits.

Performance Improvement

The fog not only gathers data efficiently but also staggers the data packets according to the sensitivity of information. The major problem large scale industries face these days is the transaction of data in large volumes and this has been resolved by fog computing as it can transfer data on priority bases in a cost effective way. 

The fog is not just the source of gathering data, it also helps in evaluating and processing data at operational level. The fog computing network can help in adding analytical capabilities at the plant which gives you a chance to optimize the performance of assets. With the choice right tools you can manage your plant according to your requirements in the most economical way. 

Data Privacy & Security

Information security and customer privacy can be a huge challenge in a public cloud. Cloud service providers ensure data privacy and security at higher costs. Anyone owning an enterprise will not be able to bear the expenses for data security and privacy. This problem can be resolved by implementing fog computing. This is a cheaper solution to access, organize and comply the data.  

For this you have to use the required local security protocols based in your region or company’s domain. With fog computing you are able to operate any sensitive dataset locally at your edge without transmitting it to the centralized cloud. This technology creates ease for teams to track and exercise control on specific devices on the fog network.

Fog computing is a very wide term and it’s a new concept in the market with better service for IoT devices. We can’t say fog is better than cloud, both of them have their own domain of efficiency. But all those tasks that need to respond instantly keeping the data secure will need the fog network.