Treffer: AdTorrent: Delivering Location Cognizant Advertisements to Car Networks
Title:
AdTorrent: Delivering Location Cognizant Advertisements to Car Networks
Contributors:
Computer Science Department [UCLA] (CSD), University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), INRIA, INSA Lyon, IFIP, Alcatel
Source:
WONS 2006 : Third Annual Conference on Wireless On-demand Network Systems and Services. :203-212
Publisher Information:
CCSD, 2006.
Publication Year:
2006
Collection:
collection:WONS2006
Subject Terms:
Original Identifier:
HAL:
Document Type:
Konferenz
conferenceObject<br />Conference papers
Language:
English
Access URL:
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.inria.00001025v1
Database:
HAL
Weitere Informationen
AdTorrent is an integrated system for search, ranking and content delivery in car networks. AdTorrent builds on the notion of Digital Billboards, a scalable “push” model architecture for ad content delivery. We present a detailed analysis of the performance impact of key design parameters such as scope of the query flooding on the query hit ratio. Our mobility model for the urban, vehicular scenario can be used in conjunction with the analytical model for estimating query hit ratio by a system designer to determine the scope of the query flooding as a function of the available storage per vehicle for their application.