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Fog computing

Geschreven door Randolph Widjaja - 05 december 2016

Randolph Widjaja
The IoT is booming and is set to increasingly drive business, thanks to its impact in reducing operating costs and increasing productivity within different industries. IoT devices are already available in various industries, such as agriculture, banks, hospitals, transportation and manufacturing. Roughly 50 billion IoT devices are expected to be connected to the internet by 2020.

Most IoT devices collect sensor data and send it to the cloud, where it is then processed. However, we face all kinds of issues if the data centre is located in a different country or even on a different continent. The problem is that the data is processed too slowly due to latency and the huge amount of data being sent over the internet.

Fog ComputingThis is where fog computing, also known as ‘edge computing’, comes in. Fog computing is a decentralised IoT infrastructure that acts as a separate layer between IoT devices and the cloud. Fog computing uses local (edge) computing and storage resources to take care of problems such as latency and real-time data processing. It allows IoT devices that don’t have their own processing power to save their sensor data locally near the IoT devices and carry out real-time data analysis. This reduces both latency and the amount of data sent over the internet, therefore saving money for the business.

The concept of fog computing seems strange when everyone else is going to the cloud and you’re going the other way, analysing the data on local storage media. So why choose fog computing? Well, fog computing is useful when a lot of interaction is needed, for example machine-to-machine or machine-to-human interaction. Once processed, the analysed data can be uploaded to the cloud, where it can be used for BI and other Big Data solutions for further processing.

Fog Computing

Source: www.promptcloud.com/blog/big-data-processing-edge-computing

So how is fog computing used? One example is in hospitals, for closely monitoring patients. Here, real-time data analysis is crucial for monitoring the patient's heart and movements during surgery. We also use it in the 24/7 manufacturing industry, where disruptions have to be kept to a minimum in order to prevent production loss.

This year, the IoT and its successor, the Internet of Everything (IoE) is the big thing. Just don’t be surprised when fog computing becomes the next big thing in 2017.

Craft Expert Randolph Widjaja is part of the Cloud team within Craft, the development programme for IT professionals (powered by Centric). If you would like to follow his blog, sign up for Craft updates.

Tags:Cloud

     
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