Transforming IoT with Scalable Serverless Architecture for Enhanced Data Collection
Article explores the development and implementation of an IoT application utilizing Azure Functions, focusing on creating a scalable and efficient system for real-time data processing. The work integrates Azure Functions with a React-based web application, offering a practical approach to building robust IoT solutions using serverless architecture. A comprehensive analysis of various serverless platforms, including Microsoft Azure, AWS Lambda, and Google Cloud Functions, is provided, highlighting their advantages. The implementation phase demonstrates the effective use of Azure Functions and CosmosDB to gather and process data from IoT devices. The results showcase the potential of serverless computing in developing modern, scalable, and cost-effective IoT applications.
Authors
- Lukáš Beňo (ORCID: https://orcid.org/0000-0003-0407-865X)
- Oto Haffner (ORCID: https://orcid.org/0000-0003-4973-012X)
- Dominik Janecky
- Martin Pajpach (ORCID: https://orcid.org/0000-0002-8623-9367)
- Erik Kučera (ORCID: https://orcid.org/0000-0002-4880-6746)
- Martin Mečír
Institutions
- Slovak University of Technology in Bratislava (SK)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/cins63881.2024.10864436
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00