In the Internet of Things (IoT) ecosystem, sensors and actuators represent the edge that is the source of data. The amount of data being generated by edge devices is exploding. Storage and processing of all the data in the cloud has become too slow and costly to meet the requirements of the end user. Edge computing presents a substantial solution through facilitating the processing of device data closer to the source. However, computing data from various and different sources is a formidable challenge for edge programming. This abstract presents lab experiments for testing versions of a multi-purpose generic edge engine on open-hardware edge devices, specifically the Raspbersry Pi 3 as a test bed with a standard Operating System (OS) and the STMxx as an MCU with Real-Time Operating System (RTOS).

IoT Ubiquitous Edge Engine Implementation on the Raspberry PI

Kobeissi A.;Berta R.;Bellotti F.;De Gloria A.
2020-01-01

Abstract

In the Internet of Things (IoT) ecosystem, sensors and actuators represent the edge that is the source of data. The amount of data being generated by edge devices is exploding. Storage and processing of all the data in the cloud has become too slow and costly to meet the requirements of the end user. Edge computing presents a substantial solution through facilitating the processing of device data closer to the source. However, computing data from various and different sources is a formidable challenge for edge programming. This abstract presents lab experiments for testing versions of a multi-purpose generic edge engine on open-hardware edge devices, specifically the Raspbersry Pi 3 as a test bed with a standard Operating System (OS) and the STMxx as an MCU with Real-Time Operating System (RTOS).
2020
978-3-030-37276-7
978-3-030-37277-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1009288
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