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EnglishSensory data generated around us in the context of IoT is huge and heterogeneous. To fully unleash the potential of IoT Open Data there is a need for service infrastructures that facilitate the interaction of users with such data, especially when they are able to customize such services to fit their needs. In this paper we propose to use our tool SenSquare for IoT End-User Service Composition, by presenting its main features and its recent advances towards providing a data historian and importing other services, as well as evaluating the performance of its implementation in parallel.
| Titolo: | IoT End-User Service Composition via a Visual Programming Interface | |
| Autore/i: | Montori F.; Armandi V.; Bedogni L. | |
| Autore/i Unibo: | ||
| Anno: | 2021 | |
| Titolo del libro: | Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021 | |
| Pagina iniziale: | 401 | |
| Pagina finale: | 403 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/SMARTCOMP52413.2021.00083 | |
| Abstract: | Sensory data generated around us in the context of IoT is huge and heterogeneous. To fully unleash the potential of IoT Open Data there is a need for service infrastructures that facilitate the interaction of users with such data, especially when they are able to customize such services to fit their needs. In this paper we propose to use our tool SenSquare for IoT End-User Service Composition, by presenting its main features and its recent advances towards providing a data historian and importing other services, as well as evaluating the performance of its implementation in parallel. | |
| Data stato definitivo: | 3-feb-2022 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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