Components and Design Tips for an IoT Solution Architecture | HackerNoon

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Components and Design Tips for an IoT Solution Architecture | HackerNoon
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'Components and Design Tips for an IoT Solution Architecture' internetofthings iotarchitecture

by Facts & Factors, the global IoT market is expected to reach $1,842 billion by 2028, growing at a CAGR of 24,5%. Rolling out IoT is not easy though. Beecham Research reports that 75% of all IoT projects are either not meeting the set expectations or fail.

A common reason for that is a lack of planning and technical challenges stemming from it. What helps avert the risk of failure is laying out a blueprint for an IoT architecture in advance. In this blog post, we shed light on the essential components of an IoT architecture and show how devising an IoT architecture may look like in practice using an example of a project from ITRex’s portfolio.

To get a better idea of what communication technology matches your solution, we’ve compiled a table summarizing a preferred use for each:An edge processing layer consists of gateways, local servers, or other edge nodes scattered across the network. The idea behind introducing edge devices is to store and process data close to its source, only sending a part of the generated records to the cloud or bulk-uploading data to the cloud at preset intervals instead of transferring it in real-time.

Apart from processing data, the edge layer could filter, aggregate, and encrypt the incoming information. Processing data locally helps save time and resources that otherwise would be needed to transmit all of the generated records to the cloud. Doing so, thus, results in better latency and higher performance. Adding an edge layer is a viable option for IoT use cases that need data to be analyzed in real-time and require built-in scalability and enhanced security, for instance, medical IoT systems, CCTV systems, or smart cars.This is where the majority of data gathered by IoT devices end up. So, the service and application support layer is used to accumulate, process, and store data.

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