IoT Edge Computing

Edge computing is "a part of a distributed computing topology in which information processing is located close to the edge - where things and people produce or consume that information.鈥 Generally, data is collected and then transferred to a data center or cloud to be processed and analyzed, which is a central location handling huge amount of data at one time, while edge computing allows data to be processed and analyzed at edge nodes rather than a data center or cloud.

The future of IoT is at the edge. Realtime IoT data posts difficulty for cloud solutions, and if latency couldn't be solved, data may be unreliable any more. At the same time, data transmission back and forth between edge devices and the cloud threatens data security. Edge computing more fully utilizes the capacity of an edge device and reduces the workload of the data center or cloud, and it leads to faster processing and transmission speed, lower operational cost and improved data security.

At presents, IoT edge computing cases can be found in these fields such as travel, transportation, logistics, health care, security surveillance systems, retail advertising, video conferences, energy and utilities, etc.


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