The Cutting Edge Of IoT
The rising availability of IoT sensors, coupled with improved network connectivity, has created a tremendous new source of data for businesses to capitalize on. In agriculture, IoT data helps improve production yields and support sustainable production for the environment. In manufacturing, IoT enables devices to work more efficiently on the assembly line. From smart homes to smart cities, and from industrial sensors to autonomous cars, billions of sensors stream massive data volumes to the cloud each day.
But when it comes to IoT, cloud computing has several drawbacks. Advanced 5G technology hasn’t been deployed fast enough to keep up with the explosion of IoT devices. And while most developed cities do have sufficient network access to support IoT, the same can’t be said about rural locations, which are home to many industrial installations. In the event of a network outage, IoT devices located in such areas may lose some or all of their functionality — and that is assuming that the area is covered at all.
Additionally, the processing power needed to extract value from IoT data has led to extremely high IT costs that business owners are struggling to keep up with in the long run.
In Comes Edge Computing
The proliferation of IoT and subsequent demand for high-bandwidth content distribution have led to the advent of edge computing. Edge computing refers to processing and analytics done on the IoT device itself, or by a local computer or server, rather than being sent to centralized or cloud servers. Because the data is stored and analyzed in close proximity to the data source, an edge device can self-manage its own data and react to the data as needed.
This article originally appeared on forbes.com To read the full article, click here.
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