Recent developments in both hardware industry to bring down the cost/size of the user devices and in content systems to deliver various forms of content have resulted in the burdening of the Internet. In this work, we study how to tackle this growing network burden, leveraging local content access patterns, and the presence of edge caches and computes. The analysis is done through the data gathered from three new and trending applications: (
i) on-demand video streaming (
ii) live video streaming and (
iii) decentralised social web, with the analysis being carried out on BBC iPlayer, Facebook Live and Mastodon respectively.
| Date of Award | 1 Sept 2020 |
|---|
| Original language | English |
|---|
| Awarding Institution | |
|---|
| Supervisor | Nishanth Sastry (Supervisor) |
|---|
Understanding the feasibility of network edge caching through measurements
Raman, A. (Author). 1 Sept 2020
Student thesis: Doctoral Thesis › Doctor of Philosophy