Abstract
The increasing amounts of data requested by mobile client devices has given
rise to broad research endeavors to determine how network providers can
cope with this challenge. Based on real world data used to derive upper
limits of web page complexity, we provide an evaluation of web browsing and
localized caching approaches.. In this paper, we employ two different user
browsing models for (i) individual mobile clients, (ii) mobile clients
sharing one centralized small cell cache, and (iii) mobile clients
operating in an energy-optimized co-located fashion. We find that for a
given content popularity distribution, average group savings due to caching
depend highly on the user model. Furthermore, we find that for the purpose
of overall savings determinations, an aggregated virtual cache falls within
less than ten percent of a more elaborate energy–conscious approach to
caching.
| Original language | English |
|---|---|
| Title of host publication | Proc. of IEEE ICC Workshop on Cooperative and Cognitive Networks (CoCoNet7) |
| Pages | 999–1003 |
| State | Published - Jun 2015 |