Fog computing is an extension of cloud computing that addresses the non-viable part of cloud that leads to the incapability in meeting users demand – to process data in a matter of milliseconds thus provide actionable insight in real-time. Internet of everything (IoE), Industrial Internet of Things (IIoT), IoT applications are all the reasons for the rise of the application of fog computing. With data being the important essence in establishing sustainability in the world today, the application of fog computing had gradually become prevalent in organisation.
How does fog computing help?
Fog computing is a decentralised computing architecture that introduces a layer between edge devices and the cloud. The layer depends on the group of small computing servers located near the edge devices. The servers that are connected with the centralised clouds and each other allows intelligent data flow. The collaboration of these small units of fog computing enables pre-processing of data, short-term storage, and rule-based real-time monitoring and as a results, reduce latency and improve efficiency.
The examples of application of fog computing
1. Smart Utility Service
The main objective smart utility service is to save cost and time through conservation of energy. Fog computing is beneficial in enabling analysis of data from the application at every minute for continuous update and addressing complication in transmission of other data heavy traffic created by IoT applications.
2. Smart Cities
The most significant examples of the application of fog computing for smart cities is traffic regulation. The traffic signals and road barriers are installed with sensors to collect data on the movement of vehicles on the road. Fog computing allows real-time data analysis that enable the traffic signal to rapidly change according to the traffic situation.
The innovation of technologies and IoT introduces the evolution of wearables. From a watch that tell time and date to a smartwatch that delivers more than just telling time and date but as well provides various users data including health condition. The wearables are also applied to the patients in hospital to give continuous information about their vitals, blood glucose levels and many more. Fog computing is useful to these wearables as it ensure data to be delivered without delay during emergency cases.
4. Video Surveillance
Shopping mall and public places usually are installed with surveillance camera to provide video images on public behaviours. Surveillance camera collects big volume of data in form of video. In order to prevent latency, fog computing is essential in helping identifies abnormalities in crowd patterns and immediately alert authorities on the situation.
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