Design of Scalable IoT Architecture Based on AWS for Smart Livestock
In the ecological future of the planet, intelligent agriculture relies on CPS and IoT to free up human resources and increase production efficiency. Due to the growing number of connected IoT devices, the maximum scalability capacity, and available computing power of the existing architectural frame...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/11/9/2697 |
| _version_ | 1797520470728245248 |
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| author | Kristina Dineva Tatiana Atanasova |
| author_facet | Kristina Dineva Tatiana Atanasova |
| author_sort | Kristina Dineva |
| collection | DOAJ |
| description | In the ecological future of the planet, intelligent agriculture relies on CPS and IoT to free up human resources and increase production efficiency. Due to the growing number of connected IoT devices, the maximum scalability capacity, and available computing power of the existing architectural frameworks will be reached. This necessitates finding a solution that meets the continuously growing demands in smart farming. Cloud-based IoT solutions are achieving increasingly high popularity. The aim of this study was to design a scalable cloud-based architecture for a smart livestock monitoring system following Agile methodology and featuring environmental monitoring, health, growth, behaviour, reproduction, emotional state, and stress levels of animals. The AWS services used, and their specific tasks related to the proposed architecture are explained in detail. A stress test was performed to prove the data ingesting and processing capability of the proposed architecture. Experimental results proved that the proposed architecture using AWS automated scaling mechanisms and IoT devices are fully capable of processing the growing amount of data, which in turn allow for meeting the required needs of the constantly expanding number of CPS systems. |
| first_indexed | 2024-03-10T07:58:12Z |
| format | Article |
| id | doaj.art-887c8de20a5b4d31b258ecee46c19a76 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-10T07:58:12Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-887c8de20a5b4d31b258ecee46c19a762023-11-22T11:44:08ZengMDPI AGAnimals2076-26152021-09-01119269710.3390/ani11092697Design of Scalable IoT Architecture Based on AWS for Smart LivestockKristina Dineva0Tatiana Atanasova1Department of Modelling and Optimization, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, BulgariaDepartment of Modelling and Optimization, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, BulgariaIn the ecological future of the planet, intelligent agriculture relies on CPS and IoT to free up human resources and increase production efficiency. Due to the growing number of connected IoT devices, the maximum scalability capacity, and available computing power of the existing architectural frameworks will be reached. This necessitates finding a solution that meets the continuously growing demands in smart farming. Cloud-based IoT solutions are achieving increasingly high popularity. The aim of this study was to design a scalable cloud-based architecture for a smart livestock monitoring system following Agile methodology and featuring environmental monitoring, health, growth, behaviour, reproduction, emotional state, and stress levels of animals. The AWS services used, and their specific tasks related to the proposed architecture are explained in detail. A stress test was performed to prove the data ingesting and processing capability of the proposed architecture. Experimental results proved that the proposed architecture using AWS automated scaling mechanisms and IoT devices are fully capable of processing the growing amount of data, which in turn allow for meeting the required needs of the constantly expanding number of CPS systems.https://www.mdpi.com/2076-2615/11/9/2697cyber–physical systemsIoTcloud computingAWS architecturescalabilitysmart livestock farm |
| spellingShingle | Kristina Dineva Tatiana Atanasova Design of Scalable IoT Architecture Based on AWS for Smart Livestock Animals cyber–physical systems IoT cloud computing AWS architecture scalability smart livestock farm |
| title | Design of Scalable IoT Architecture Based on AWS for Smart Livestock |
| title_full | Design of Scalable IoT Architecture Based on AWS for Smart Livestock |
| title_fullStr | Design of Scalable IoT Architecture Based on AWS for Smart Livestock |
| title_full_unstemmed | Design of Scalable IoT Architecture Based on AWS for Smart Livestock |
| title_short | Design of Scalable IoT Architecture Based on AWS for Smart Livestock |
| title_sort | design of scalable iot architecture based on aws for smart livestock |
| topic | cyber–physical systems IoT cloud computing AWS architecture scalability smart livestock farm |
| url | https://www.mdpi.com/2076-2615/11/9/2697 |
| work_keys_str_mv | AT kristinadineva designofscalableiotarchitecturebasedonawsforsmartlivestock AT tatianaatanasova designofscalableiotarchitecturebasedonawsforsmartlivestock |