When you have a flood of writes, sometimes those writes are identical or nearly identical, or the data in each write barely changes. It makes no sense to flood those writes upstream, because since it's barely changing, you may not need it that urgently. Throttling lets you simply move the changes back with eventual consistency.
It seems that high load high scale solutions   start to converge on this idea of merging updates and eventual consistency.
The Red Wedding Problem: A huge spike in read / write traffic. Exemplified in the paper as users viewing and editing the Game of Thrones wiki in the hours before, during and after an episode (Also gives realtime sports commentary on reddit as an example)
Edge computing is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors and the central data center by performing analytics and knowledge generation at or near the source of the data.