| Issue |
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
|
|
|---|---|---|
| Article Number | 00046 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/bioconf/20249700046 | |
| Published online | 05 April 2024 | |
Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications
1 Shahid Chamran University, Faculty of Computer Engineering, Artificial Intelligence Department Ahvaz, Iran
2 Cybersecurity dept., College of Computer Science and Information Technology, Basrah, Iraq
3 Shahid Chamran University, Faculty of Computer Engineering, Artificial Intelligence Department Ahvaz, Iran
* Corresponding author: mashhad01@gmail.com
An integration between the Internet of Things (IoT) and cloud computing can potentially leverage the utilization of both sides. As the IoT-based system is mostly composed of the interconnection of pervasive and constrained devices, it can take advantage of the virtually unlimited resources of cloud entities, i.e., storage and computation services, to store and process its sensed data. In this study, we examine the design and implementation of IoT and cloud computing platforms. The proposed system consists of two main components: hardware and software. Many experiments are used to gather data and upload it to the framework. The software is an IoT2ALK platform that is designed and implementation using front- and back-end techniques that can connect any IoT applications to it. Several experiments are implemented to ensure the effectiveness of the platform. The platform depends on connecting the IoT devices to it and using communication protocols like HTTP to transfer the data from the IoT devices to the platform. Another way to gather data is by uploading a CSV file to the platform after filling it with the required data. The system can collect, store, analyze, and process the data in an efficient manner
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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