From the course: Achieving Low-Latency Data with Edge Computing
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Implementation architecture
From the course: Achieving Low-Latency Data with Edge Computing
Implementation architecture
- [Instructor] All right. Now, we have a better understanding of the core techniques for low latency data edge computing. Let's put them all together with an implementation architecture. The edge devices such as heart and breathing monitors normally have the ability to send data to a message broker using a standard messaging protocol. We will simulate this in our demo implementation with an example generator app. We will have an edge computing processor app running at the edge using Spring that will consume vital statistics from the message broker. I will explain more about Spring later in the costs. The edge application will save the vital statistics such as the heart rate and breathing rates into an embedded NoSQL database. In this example, we will use an open source, NoSQL database called Apache Geode. It will run embedded within the edge processor application. The edge processor application will perform in memory…
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