How to reduce smartphone traffic volume by 30%?

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

doi:10.1007/978-3-642-36516-4_5

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 proceeding › Conference contribution

17 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings
Publisher	Springer Verlag
Pages	42-52
Number of pages	11
ISBN (Print)	9783642365157
DOIs	https://doi.org/10.1007/978-3-642-36516-4_5
State	Published - 2013
Externally published	Yes
Event	14th International Conference on Passive and Active Measurement, PAM 2013 - Hong Kong, China Duration: Mar 18 2013 → Mar 19 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7799 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Passive and Active Measurement, PAM 2013
Country/Territory	China
City	Hong Kong
Period	3/18/13 → 3/19/13

Publisher link

10.1007/978-3-642-36516-4_5

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Cite this

Qian, F., Huang, J., Erman, J., Mao, Z. M., Sen, S., & Spatscheck, O. (2013). How to reduce smartphone traffic volume by 30%? In Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings (pp. 42-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7799 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-36516-4_5

How to reduce smartphone traffic volume by 30%? / Qian, Feng; Huang, Junxian; Erman, Jeffrey et al.
Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings. Springer Verlag, 2013. p. 42-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7799 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Qian, F, Huang, J, Erman, J, Mao, ZM, Sen, S & Spatscheck, O 2013, How to reduce smartphone traffic volume by 30%? in Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7799 LNCS, Springer Verlag, pp. 42-52, 14th International Conference on Passive and Active Measurement, PAM 2013, Hong Kong, China, 3/18/13. https://doi.org/10.1007/978-3-642-36516-4_5

Qian F, Huang J, Erman J, Mao ZM, Sen S, Spatscheck O. How to reduce smartphone traffic volume by 30%? In Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings. Springer Verlag. 2013. p. 42-52. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36516-4_5

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title = "How to reduce smartphone traffic volume by 30%?",

abstract = "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%.",

author = "Feng Qian and Junxian Huang and Jeffrey Erman and Mao, {Z. Morley} and Subhabrata Sen and Oliver Spatscheck",

year = "2013",

doi = "10.1007/978-3-642-36516-4_5",

language = "English (US)",

isbn = "9783642365157",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "42--52",

booktitle = "Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings",