We recently discussed how cloud computing helps Internet of Things(IoT) to succeed, in this post we are going discuss how fog computing is useful for IoT.
Fog computing solves the problem by keeping data closer “to the ground,” so to speak, in local computers and devices, rather than routing everything through a central data center in the cloud.
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise’s network. It is also known as Edge Computing or fogging. The objective of fogging is to enhance proficiency and diminish the measure of information transported to the cloud for processing, analysis, and storage. This is regularly done to enhance effectiveness, however, it might likewise be utilized for security and consistency reasons.
As the number of connected devices over the world keeps on expanding exponentially, the amount of information being produced is growing quickly. Creating new servers so as to stay aware of this expansion should be possible, yet this will work for so long.
Another problem within cloud computing is speed.The cloud should ensure proximity in order to achieve the minimum latency.If the user waits for a self-driving car to impart a security answer for confirming that there is no hijack or malware in every correspondence trade, there will be a long postponement. That delay can totally destroy user experience and the application itself. All together for self-governing autos to work, the security check and approval need to happen in real-time.
Fog computing is being utilized for the handling of information from IoT devices, rather than sending such information to the cloud for processing.It accelerates awareness and response to events by eliminating a round trip to the cloud for analysis.This ability is made possible by the fact that the fog computing systems are deployed very close to the end users in a widely distributed manner.
Fog computing allows processing data closer to where it is produced and needed solves the challenges of exploding data volume, variety, and velocity. It additionally secures sensitive IoT data by analyzing it inside company walls.
Since cloud computing is not reasonable for many internet-of-things applications, fog computing is frequently utilized. It’s distributed approach addresses the requirements of IoT and industrial IoT and in addition, the massive measure of data smart sensors and IoT devices generate, which would be costly and tedious to send to the cloud for handling and analysis. Fog computing reduces the bandwidth needed and diminishes the forward and backward correspondence amongst sensors and the cloud, which can negatively influence performance.