Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

6-2013

Abstract

Advertisements are the de-facto currency of the Internet with many popular applications (e.g. Angry Birds) and online services (e.g., YouTube) relying on advertisement generated revenue. However, the current economic models and mechanisms for mobile advertising are fundamentally not sustainable and far from ideal. In particular, as we show, applications which use mobile advertising are capable of using significant amounts of a mobile users' critical resources without being controlled or held accountable. This paper seeks to redress this situation by enabling advertisement supported applications to become significantly more "user-friendly". To this end, we present the design and implementation of CAMEO, a new framework for mobile advertising that 1) employs intelligent and proactive retrieval of advertisements, using context prediction, to significantly reduce the bandwidth and energy overheads of advertising, and 2) provides a negotiation protocol and framework that empowers applications to subsidize their data traffic costs by "bartering" their advertisement rights for access bandwidth from mobile ISPs. Our evaluation, that uses real mobile advertising data collected from around the globe, demonstrates that CAMEO effectively reduces the resource consumption caused by mobile advertising.

Keywords

Context predictions, Design and implementations, Mobile, Mobile advertisement, Mobile advertising, Negotiation protocol, Proactive retrieval, Resource consumption

Discipline

Advertising and Promotion Management | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

MobiSys '13: Proceeding of the 11th annual international conference on Mobile Systems, Applications, and Services, Taipei, June 25-28

First Page

125

Last Page

138

ISBN

9781450316729

Identifier

10.1145/2462456.2464436

Publisher

ACM

City or Country

New York

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1145/2462456.2464436

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