The number of data generated by organisation is expanding regardless the industries. This leads to challenges in organisation infrastructure where the exponential growth of data causes the communication between the IoT devices and cloud to become inefficient, costly and sometime impracticable. Significantly, an enhanced infrastructure need to be introduced in order to tackle these challenges, hence the rise of fog computing. This post explains what is fog computing and its application.
Fog Computing refers to a decentralised computing infrastructure that locates data, compute, storage and applications at the edge of cloud or somewhere within the data sources and cloud. It is a sets of practice to manage highly distributed and possibly virtualised networks that give compute and network services between sensors and cloud data centers.
The rise of fog computing is due to the need to tackle the incompetent communication between the IoT devices and cloud. Therefore, rather than replacing the existing data infrastructure (cloud computing), fog computing actually works by complementing the infrastructure. In elaboration, as cloud computing focuses on the resource intensive and long-term analytics, fog computing revolves around enabling short-term analytics at the edge. Fog computing enables advanced analytics and machine learning tasks that are hindered by the unavailability of edge devices and sensors in having compute and storage resources or the incapability of distant cloud server to analyse the data in and respond in timely manner.
There are many cases that involve fog computing. Video surveillance in public authorities or malls, for instance, collect continuous video images leading to large transfer of data across networks. With fog computing, the fog nodes, helps identifies abnormalities in crowd patterns and immediately alert authorities in situation where suspicious behaviour is detected in the footage. In healthcare, on the other hand, requires immediate response in real time. Fog computing is crucial in removing latency issues that can delay certain emergency helps.
In conclusion, Fog computing is essential as the world today is all about data thus the infrastructure which manage and analyse the data should be able to keep up with the changes in how data is utilised.
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