How to reduce smartphone traffic volume by 30%?

Feng Qian, Junxian Huang, Jeffrey Erman, Z. Morley Mao, Subhabrata Sen, Oliver Spatscheck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations


The unprecedented growth in smartphone usage has fueled a massive increase in cellular network traffic volumes. We investigate the feasibility of applying Redundancy Elimination (RE) for today's smartphone traffic, using packet traces collected from 20 real mobile users for five months. For various RE techniques including caching, file compression, delta encoding, and packet stream compression, we present the first characterization of their individual effectiveness, the interaction among multiple jointly applied RE techniques, and their performance on mobile handsets. By leveraging several off-the-shelf RE techniques operating at different layers, we can achieve an overall reduction of smartphone traffic by more than 30%.

Original languageEnglish (US)
Title of host publicationPassive and Active Measurement - 14th International Conference, PAM 2013, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783642365157
StatePublished - 2013
Externally publishedYes
Event14th International Conference on Passive and Active Measurement, PAM 2013 - Hong Kong, China
Duration: Mar 18 2013Mar 19 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7799 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other14th International Conference on Passive and Active Measurement, PAM 2013
CityHong Kong


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