Models of Computing as a Service and IoT: an analysis of the current scenario with applications using LPWAN

TL;DR

This paper analyzes current cloud computing models for IoT solutions using LPWAN, highlighting challenges and opportunities in deploying cloud-native architectures close to data sources.

Contribution

It provides a comprehensive analysis of existing architectures and insights into integrating cloud computing with LPWAN-based IoT solutions.

Findings

Identifies key challenges in deploying cloud models for LPWAN IoT.

Highlights opportunities for edge computing in IoT.

Provides lessons from a case study on cloud-IoT integration.

Abstract

This work provides the basis to understand and select Cloud Computing models applied for the development of IoT solutions using Low-Power Wide Area Network (LPWAN). Cloud Computing paradigm has transformed how the industry implement solution, through the commoditization of shared IT infrastructures. The advent of massive Internet of Things (IoT) and related workloads brings new challenges to this scenario demanding malleable configurations where the resources are distributed closer to data sources. We introduce an analysis of existing solution architectures, along with an illustrative case from where we derive the lessons, challenges, and opportunities of combining these technologies for a new generation of Cloud-native solutions.