Storage on Wheels: Offloading Popular Contents Through a Vehicular Cloud - Archive ouverte HAL Access content directly
Conference Papers Year :

Storage on Wheels: Offloading Popular Contents Through a Vehicular Cloud

(1, 2) , (1) , (2)
1
2

Abstract

The increasing demand for mobile data is overloading the cellular infrastructure. Small cells and edge caching is being explored as an alternative, but installation and maintenance costs for sufficient coverage are significant. In this work, we perform a preliminary study of an alternative architecture based on two main ideas: (i) using vehicles as mobile caches that can be accessed by user devices; compared to small cells, vehicles are more widespread and require lower costs; (ii) combining the mobility of vehicles with delayed content access to increase the number of cache hits (and reduce the load on the infrastructure). Contrary to standard DTN-type approaches, in our system max delays are guaranteed to be kept to a few minutes (beyond this deadline, the content is fetched from the infrastructure). We first propose an analytical framework to compute the optimal number of content replicas that one should cache, in order to minimize the infrastructure load. We then investigate how to optimally refresh these caches to introduce new contents, as well as to react to the temporal variability in content popularity. Simulations suggest that our vehicular cloud considerably reduces the infrastructure load in urban settings, assuming modest penetration rates and tolerable content access delays.
Fichier principal
Vignette du fichier
WoWMoM_2016.pdf (1.75 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01315370 , version 1 (23-11-2016)

Identifiers

Cite

Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat. Storage on Wheels: Offloading Popular Contents Through a Vehicular Cloud. IEEE 17th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM), Jun 2016, Coimbra, Portugal. ⟨10.1109/WoWMoM.2016.7523506⟩. ⟨hal-01315370⟩
279 View
197 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More