It's forecasted that the number of connected devices to the Internet will reach the amount of 30,000 million in 2012 The Industrial Internet of Things (IIoT) is coping with this trend in the business space really clearly. The colossal amount of data generated by the IoT wireless devices around us, such as body sensors, smartphones, laptops, tablets, watches, automated cars, etc., used in all of the Supply Chain stages, is sent to the Cloud where it is stored and processed. However, this amount of data can lead to severe network obstruction, and in turn will results in underlying problems.
To cope with these challenges, the so-called Edge Computing approach has emerged, making the process capable of analysing and processing that huge amount of data in real-time. It can be applied in industries such as Manufacturing, Health, Communications and Financial corporations, saving time and money.
Edge Computing is a method of optimising Cloud computing systems by performing data processing at the edge of the network, near the source of the data. This approach requires leveraging devices that count on wireless sensor networks, as IoT devices; it should be considered as a counterpart to Cloud Computing, as it cooperates to reduce energy consumption, making processes far more efficient, as well as maintaining the Quality of Service (QoS) in the IIoT environment.
SDN (Software-defined networking) is a set of techniques, which aim is to facilitate the implementation and deployment of network services in a dynamic and scalable way, supporting network administrator to manage such services at a low level. The implementation of an SDN-based Edge/Cloud interplay can handle the Big Data running in IIoT environment, as it provides an efficient inmost support.
Benefits:
Maintains the Quality of Service (QoS) in the IIoT environment.
Reduces the cost of maintenance and adaption.
Warrants security.
Reduces energy consumption.
Reduces the cost of devices and sensors.
Gives more power, even to simple devices.
Allows reducing latency.
Optimases all processes.
Lowers the consumption of width band.
Improves velocity.
CONCLUSION: The Edge Computing approach has become more popular day after day, as its purpose is to optimise the capability of the process transferring the data storage in the IIoT.
Dave Food