Extending reference architecture of big data systems towards machine learning in edge computing environments

Extending reference architecture of big data systems towards machine learning in edge computing environments

Abstract Background Augmented reality, computer vision and other (e.g. network functions, Internet-of-Things (IoT)) use cases can be realised in edge computing environments with machine learning (ML) techniques. For realisation of the use cases, it has to be understood how data is collected, stored,...

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Bibliographic Details
Main Authors: P. Pääkkönen, D. Pakkala
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:Journal of Big Data
Subjects:
Neural networks
ArchiMate
Edge computing
DevOps
Inference
Machine learning
Online Access:http://link.springer.com/article/10.1186/s40537-020-00303-y

Internet

http://link.springer.com/article/10.1186/s40537-020-00303-y

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