Cloud-Edge-End architecture :
With the increasing production of Big Data and due to latency, privacy, and other concerns, a Cloud-Edge-End computing paradigm has emerged in order to facilitate Big Data processing in proper places. This infrastructure seamlessly integrates hardware and software resources across multiple computing tiers, from the End to Edge, and to the Cloud. The flexibility of hierarchical cloud-edge-end computing architecture makes possible to decide whether data processing and analysis—including data cleaning, machine learning training, and decision making—applied to data coming from end sensors is carried out directly at the end device in-place, the computing edge or uploaded to the cloud infrastructures with higher computation capabilities. Therefore, advanced cloud–edge–end computing architectures needs to provide the kind of support that IoT applications need to deploy data processing and analytic methods in a flexible, efficient and scalable way. (cf. https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/special-issue-on-cloud-edge-end-architecture-for-internet-of-things-applications-vsi-cloud-edge-end-iot)
So the term End refers to end devices and the term Edge refers to network edge.
However, the term Cloud-Fog-Edge is found more on Google.
