Software Architectures for Edge Analytics: A Survey.

2021 
Traditionally, industrial and IoT data analytics applications run in the cloud, leveraging its power regarding big data processing capabilities. With edge computing, opportunities for moving data processing from the cloud to the edge has emerged, i.e., compute nodes become close to where data is generated and to where the processed results are consumed. When running analytics on the edge, lag time is minimal, such that real-time data can be considered and insights can be delivered faster, which leads to improving both the effectiveness and efficiency in online decision-making.
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