Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications
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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2024-01-01
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Series: | BIO Web of Conferences |
Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00046.pdf |
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author | Mohsin Zainab Khudhur Al-Mashhadi Haider M. Tahan Marjan Naderan |
author_facet | Mohsin Zainab Khudhur Al-Mashhadi Haider M. Tahan Marjan Naderan |
author_sort | Mohsin Zainab Khudhur |
collection | DOAJ |
description | 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 |
first_indexed | 2024-04-24T10:55:51Z |
format | Article |
id | doaj.art-efe07d691ea44f529284f333752f972b |
institution | Directory Open Access Journal |
issn | 2117-4458 |
language | English |
last_indexed | 2024-04-24T10:55:51Z |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | BIO Web of Conferences |
spelling | doaj.art-efe07d691ea44f529284f333752f972b2024-04-12T07:36:22ZengEDP SciencesBIO Web of Conferences2117-44582024-01-01970004610.1051/bioconf/20249700046bioconf_iscku2024_00046Design and Implementation IOT2ALK cloud Computing Platform for IOT ApplicationsMohsin Zainab Khudhur0Al-Mashhadi Haider M.1Tahan Marjan Naderan2Shahid Chamran University, Faculty of Computer Engineering, Artificial Intelligence DepartmentCybersecurity dept., College of Computer Science and Information TechnologyShahid Chamran University, Faculty of Computer Engineering, Artificial Intelligence DepartmentAn 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 mannerhttps://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00046.pdf |
spellingShingle | Mohsin Zainab Khudhur Al-Mashhadi Haider M. Tahan Marjan Naderan Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications BIO Web of Conferences |
title | Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications |
title_full | Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications |
title_fullStr | Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications |
title_full_unstemmed | Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications |
title_short | Design and Implementation IOT2ALK cloud Computing Platform for IOT Applications |
title_sort | design and implementation iot2alk cloud computing platform for iot applications |
url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00046.pdf |
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