Streaming Content from a Vehicular Cloud

Abstract : Network densification via small cells is considered as a key step to cope with the data tsunami. Caching data at small cells or even user devices is also considered as a promising way to alleviate the backhaul congestion this densification might cause. However, the former suffers from high deployment and maintenance costs, and the latter from limited resources and privacy issues with user devices. We argue that an architecture with (public or private) vehicles acting as mobile caches and communication relays might be a promising middle ground. In this paper, we assume such a vehicular cloud is in place to provide video streaming to users, and that the operator can decide which content to store in the vehicle caches. Users can then greedily fill their playout buffer with video pieces of the streamed content from encountered vehicles, and turn to the infrastructure immediately when the playout buffer is empty, to ensure uninterrupted streaming. Our main contribution is to model the playout buffer in the user device with a queuing approach, and to provide a mathematical formulation for the idle periods of this buffer, which relate to the bytes downloaded from the cellular infrastructure. We also solve the resulting content allocation problem, and perform trace based simulations to finally show that up to 50% of the original traffic could be offloaded from the main infrastructure.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [26 references]  Display  Hide  Download

https://hal.inria.fr/hal-01349767
Contributor : Chadi Barakat <>
Submitted on : Tuesday, September 13, 2016 - 10:51:40 AM
Last modification on : Monday, April 30, 2018 - 2:46:03 PM
Document(s) archivé(s) le : Wednesday, December 14, 2016 - 1:11:04 PM

File

chants-authorversion.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Luigi Vigneri, Thrasyvoulos Spyropoulos, Chadi Barakat. Streaming Content from a Vehicular Cloud. Tenth ACM MobiCom Workshop on Challenged Networks (CHANTS), Oct 2016, New York, United States. ⟨10.1145/2979683.2979684⟩. ⟨hal-01349767⟩

Share

Metrics

Record views

443

Files downloads

117