Abstract
For simplifying and speeding up the development of Internet of Things (IoT) ecosystem, there has been a proliferation of IoT Platforms, built up according to different design principles, computing paradigms, technologies, and targets. This paper proposes a review of main examples populating the wide landscape of IoT Platforms and their comparison on the basis of the IoT-A Reference Architecture. In such a way, heterogeneous IoT Platforms (both current and future) can be analyzed regardless of their low-level specifications but exclusively through the lens of those key functionalities and architectural building blocks that enable the interplay among devices, data flow, software, and stakeholders within the IoT ecosystem.
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Notes
- 1.
Siemens MindSphere. https://siemens.mindsphere.io/en.
- 2.
Watson IoT Platform. https://www.ibm.com/cloud/watson-iot-platform.
- 3.
AWS IoT. https://aws.amazon.com/iot/.
- 4.
SAP Internet of Things. https://www.sap.com/products/iot-data-services.html.
- 5.
Azure IoT. https://azure.microsoft.com/en-us/overview/iot/.
- 6.
Bosch IoT Suite. https://bosch.io/iot-technology/.
- 7.
Hitachi Vantara Lumada. https://www.hitachivantara.com/en-us/products/iot-software-solutions/lumada-software-for-iiot.html.
- 8.
Google Cloud IoT Core. https://cloud.google.com/solutions/iot/.
- 9.
Cumulocity IoT. https://www.softwareag.cloud/site/product/cumulocity-iot.html/.
- 10.
Oracle Cloud. https://www.oracle.com/cloud/.
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Acknowledgements
This work has been partially supported by the COGITO (A COGnItive dynamic sysTem to allOw buildings to learn and adapt) project, funded by the Italian Government (PON ARS01 00836) and by the CNR project “Industrial transition and resilience of post-Covid19 Societies - Sub-project: Energy Efficient Cognitive Buildings”.
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Fortino, G., Guerrieri, A., Savaglio, C., Spezzano, G. (2022). A Review of Internet of Things Platforms Through the IoT-A Reference Architecture. In: Camacho, D., Rosaci, D., Sarné, G.M.L., Versaci, M. (eds) Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-96627-0_3
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