Edge Intelligent in IoT: Algorithms and Applications

There are a lot more IoT gadgets and data being made because IoT apps are becoming more common in our daily lives. IoT devices don't have a lot of resources, which makes it harder to handle and store IoT data. Traditional cloud computing helps with some problems caused by the Internet of Things' (IoT) limited resources, but it also causes new problems, like delay in IoT apps that need to work right away. It makes sense that edge-cloud computer technology has changed recently. It is possible to store and handle data at the edge of the network with this technology. Edge computing architectures for the internet of things (ECAsIoT) are grouped in this piece by where the data is stored, the services that help with orchestration, security, and big data. The research looks into and compares each architecture in depth using a number of factors. We look at ECAs-IoT against two other IoT stacked models to see what their pros, cons, chances, and risks are. The research lists the main problems with present ECAs-IoT and suggests ways to fix them. The Internet of Things (IoT) and its effects on edge computing are also talked about in this poll. The research ends with four possible uses for ECAs-IoT in IoT.