# To Edge or Not to Edge?

arXiv: https://arxiv.org/abs/1803.08448 · HTML: https://mlsanity.com/paper/1803.08448/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Mar 2018.

## Built on by (most cited first, 1 of 1)

- [Boosting performance of computer vision applications through embedded GPUs on the edge](https://mlsanity.com/paper/2511.01129/) (2025)

## Abstract (arXiv)

Edge computing caters to a wide range of use cases from latency sensitive to bandwidth constrained applications. However, the exact specifications of the edge that give the most benefit for each type of application are still unclear. We investigate the concrete conditions when the edge is feasible, i.e., when users observe performance gains from the edge while costs remain low for the providers, for an application that requires both low latency and high bandwidth: video analytics.