Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application
This paper focuses on Internet of Things (IoT) architectures and knowledge generation out of streams of events as the primary elements concerning the creation of user-centric IoT services. We provide a general, symmetrical IoT architecture, which enables two-way bidirectional communication between t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/4/135 |
| _version_ | 1797605410574696448 |
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| author | Dimitris Gkoulis Cleopatra Bardaki George Kousiouris Mara Nikolaidou |
| author_facet | Dimitris Gkoulis Cleopatra Bardaki George Kousiouris Mara Nikolaidou |
| author_sort | Dimitris Gkoulis |
| collection | DOAJ |
| description | This paper focuses on Internet of Things (IoT) architectures and knowledge generation out of streams of events as the primary elements concerning the creation of user-centric IoT services. We provide a general, symmetrical IoT architecture, which enables two-way bidirectional communication between things and users within an application domain. We focus on two main components of the architecture (i.e., Event Engine and Process Engine) that handle event transformation by implementing parametric Complex Event Processing (CEP). More specifically, we describe and implement the transformation cycle of events starting from raw IoT data to their processing and transformation of events for calculating information that we need in an IoT-enabled application context. The implementation includes a library of composite transformations grouping the gradual and sequential steps for transforming basic IoT events into business events, which include ingestion, event splitting, and calculation of measurements’ average value. The appropriateness and possibility of inclusion and integration of the implementation in an IoT environment are demonstrated by providing our implementation for a smart farming application domain with four scenarios that each reflect a user’s requirements. Further, we discuss the quality properties of each scenario. Ultimately, we propose an IoT architecture and, specifically, a parametric CEP model and implementation for future researchers and practitioners who aspire to build IoT applications. |
| first_indexed | 2024-03-11T05:00:43Z |
| format | Article |
| id | doaj.art-feb02351594b45b1a238a4644651a91f |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-11T05:00:43Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-feb02351594b45b1a238a4644651a91f2023-11-17T19:20:08ZengMDPI AGFuture Internet1999-59032023-03-0115413510.3390/fi15040135Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming ApplicationDimitris Gkoulis0Cleopatra Bardaki1George Kousiouris2Mara Nikolaidou3Department of Informatics and Telematics, Harokopio University of Athens, 17778 Athens, GreeceDepartment of Informatics and Telematics, Harokopio University of Athens, 17778 Athens, GreeceDepartment of Informatics and Telematics, Harokopio University of Athens, 17778 Athens, GreeceDepartment of Informatics and Telematics, Harokopio University of Athens, 17778 Athens, GreeceThis paper focuses on Internet of Things (IoT) architectures and knowledge generation out of streams of events as the primary elements concerning the creation of user-centric IoT services. We provide a general, symmetrical IoT architecture, which enables two-way bidirectional communication between things and users within an application domain. We focus on two main components of the architecture (i.e., Event Engine and Process Engine) that handle event transformation by implementing parametric Complex Event Processing (CEP). More specifically, we describe and implement the transformation cycle of events starting from raw IoT data to their processing and transformation of events for calculating information that we need in an IoT-enabled application context. The implementation includes a library of composite transformations grouping the gradual and sequential steps for transforming basic IoT events into business events, which include ingestion, event splitting, and calculation of measurements’ average value. The appropriateness and possibility of inclusion and integration of the implementation in an IoT environment are demonstrated by providing our implementation for a smart farming application domain with four scenarios that each reflect a user’s requirements. Further, we discuss the quality properties of each scenario. Ultimately, we propose an IoT architecture and, specifically, a parametric CEP model and implementation for future researchers and practitioners who aspire to build IoT applications.https://www.mdpi.com/1999-5903/15/4/135Internet of Things (IoT)Complex Event Processingevent-driven architecturesmart farming |
| spellingShingle | Dimitris Gkoulis Cleopatra Bardaki George Kousiouris Mara Nikolaidou Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application Future Internet Internet of Things (IoT) Complex Event Processing event-driven architecture smart farming |
| title | Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application |
| title_full | Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application |
| title_fullStr | Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application |
| title_full_unstemmed | Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application |
| title_short | Transforming IoT Events to Meaningful Business Events on the Edge: Implementation for Smart Farming Application |
| title_sort | transforming iot events to meaningful business events on the edge implementation for smart farming application |
| topic | Internet of Things (IoT) Complex Event Processing event-driven architecture smart farming |
| url | https://www.mdpi.com/1999-5903/15/4/135 |
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