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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Amazon Web Service (2019) AWS Lambda@Edge. https://aws.amazon.com/lambda/edge/
Azure IoT Edge (2019) Microsoft. https://azure.microsoft.com/en-in/services/iot-edge/
Jain R, Tata S (2017) Cloud to edge: distributed deployment of process-aware IoT applications. In: 2017 IEEE international conference on edge computing (EDGE), Honolulu, HI, pp 182–189
Fan K, Pan Q, Wang J, Liu T, Li H, Yang Y (2018) Cross-domain based data sharing scheme in cooperative edge computing. In: 2018 IEEE international conference on edge computing (EDGE), San Francisco, CA, pp 87–92
Shi W, Cao J, Zhang Q, Li Y, Xu L (2016) Edge computing: vision and challenges. IEEE Internet Things J 3(5):637–646
Raspberry Pi 3 model b. https://www.raspberrypi.org/products/raspberry-pi-3-model-b/
Acknowledgements
The heading should be treated as a 3rd level heading and should not be assigned a number.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kobeissi, A., Berta, R., Bellotti, F., De Gloria, A. (2020). IoT Ubiquitous Edge Engine Implementation on the Raspberry PI. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2019. Lecture Notes in Electrical Engineering, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-37277-4_54
Download citation
DOI: https://doi.org/10.1007/978-3-030-37277-4_54
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37276-7
Online ISBN: 978-3-030-37277-4
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)