Edge computing is performed when the data is analyzed directly on the device itself, that is at the edge of the network, rather than on the cloud. This type of computing helps organizations to analyze data in real-time instead of spending time in communicating with the cloud. This reduces response times, data traversing the network as well as bandwidth costs.
With IoTConnect, you can connect your edge devices and perform analytics closer to your application and data sources.
Let’s take an example of a manufacturing company that has several types of IoT devices running on the cloud. You are one of the floor managers who wants to implement edge computing and analyze the temperature recording of your machines locally at regular intervals.
For this, you need to create a template on IoTConnect while selecting the edge support option. Once the template is created, you need to define attributes for the edge devices. For an Edge-enabled device, the template must contain at least one attribute with datatype ‘Number’. As stated above, you want to measure the temperature of the machines, therefore an attribute with the name Temperature and Data Type: Number is created.
Next thing is to select the type of data that you want to analyze within the defined intervals. You can analyze the minimum, maximum, sum, average or the latest value of the temperature recorded within that interval. Also set the tumbling window, which is the interval at which readings will be taken. You can also define the validation range as well as Unit for the attribute.
To get more information on how to create/view/edit/delete edge devices in IoTConnect, read our user guide.