Fog computing is just another addition to the rapidly transforming digital world. A service with multiple names. You may have come across it being referred to as fogging or fog networking. Even if you haven’t, you have come to the right place to learn all about it.
The term refers to a decentralized computing structure. This structure is found between your data-producing devices and the cloud. It acts as a bridge between the two, only to keep your data closer to you for a performance boost.
Fog’s flexibility allows you to store all forms of resources, ranging from the basic data you want to dump into cloud storage all the way to a complex application requiring heavy yet speedy processing.
According to Statista,
In 2022, the hardware components of the fog computing market are forecasted to reach about 7.66 billion U.S. dollars in size.
However, one would ask as to what the difference between the Cloud and Fog Computing is? Most people are completely unaware of the one factor which makes them worlds apart. Fog computing is known as an extension of the cloud with the major difference being the data rate of return.
What fog computing does for you?
Fogging allows you to deploy your resources at the network edge of the cloud. This speeds up the data response time to a great extent. Therefore, users consider it ideal for applications that work on real-time interaction. And applications that require data returns at a fast rate. It is a service that is tailor-made for IoT (Internet of Things) applications.
Due to the rapid increase in the involvement of the Internet of Things in our everyday lives and the growth expectations for the number of devices to be connected in the future is in billions. It is safe to say that Fog Computing is a future asset. It serves to be a promising solution for data that is security-critical but at the same time is also time-sensitive.
The endless possibilities
The introduction of fog computing has brought about many options and possibilities to the table. It is now completely up to a client as to where they want to deploy their resources. For industries that require real-time data processing, fog computing works like magic.
An example of this could be self-driven cars which require immediate yet accurate results in real-time based on the data they send to the servers to fetch responses for what action to take next. For applications with a zero-tolerance rate for data delays, fogging is the one-stop solution.
As unbelievable as it sounds fog computing actually manages to achieve its claims. Due to the minimum bandwidth needs in comparison to sending and receiving data from an alternate source such as the cloud itself or a data center, it forms connections that are low in latency to link with devices.
Fog uses Edge Computing
Fog uses paradigms of edge computing to function. It includes the MEC and Cloudlets. The multi-access Edge Computing is Fog’s backbone. It gives edge an architecture to deploy. Whereas Cloudlets are small data centers deployed at the edges of the internet. With the help of cloudlets, Fog is able to provide powerful and complex computation to industries that require it. Due to these data centers being located at the edge of the internet the latency levels drop significantly.
On the other hand, the real question arises as to how secure service would be which is deployed at the edge of the cloud. As big of a scare this question creates, you can gladly reassure yourselves as Fog does provide processing and responses at high speeds but at the same time does not compromise on security. You can rest assured that you will still be able to filter out network traffic with the use of firewalls.
Furthermore, this technique’s popularity and importance have increased greatly since the introduction of 5G which bases its entire architecture on it. This is because 5G requires the close deployment of antennas in order to send and receive data much faster. Using fog computing in this scenario would hold the service responsible for handling all applications which run on a 5G network. As well as staying connected with data centers on the backend regardless of them being physical data centers or deployed on the cloud.
In a nutshell, it’s safe to say that fog computing is the fuel that helps us cruise through our current and future data processing needs. Fog computing has already become the go-to solution for any and every industry’s data processing requirements. It’s free from the risk of security and it promises to return high volumes of data at high speeds. Hence, making it an ideal solution for the requirements of the end-user.