# A View on Edge caching Applications

arXiv: https://arxiv.org/abs/1907.12359 · HTML: https://mlsanity.com/paper/1907.12359/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Jul 2019.

## Built on by (most cited first, 4 of 4)

- [A Lightweight Transformer for Pain Recognition from Brain Activity](https://mlsanity.com/paper/2604.16491/) (2026)
- [Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech](https://mlsanity.com/paper/2604.11417/) (2026)
- [A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks](https://mlsanity.com/paper/2508.18803/) (2025)
- [One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment](https://mlsanity.com/paper/2605.00856/) (2026)

## Abstract (arXiv)

Devices with the ability to connect to the internet are growing in numbers day by day thus creating the need for a new way of manag-ing the way the produced traffic travels through data networks. Smart Cities, Vehicular Content Networks, Healthcare and Virtual Reality Videos are a few examples that require high volume data while maintaining low latency. Edge caching practices are a prom-ising solution in such cases in order meet the requirements of low latency in high volume traffic. This paper is a survey on four indic-ative areas, Smart Cities, Vehicular Content Networks, Healthcare and Virtual Reality Videos that make use of edge caching.
