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Link to original content: https://doi.org/10.1007/978-3-642-36516-4_5
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How to Reduce Smartphone Traffic Volume by 30%?

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Passive and Active Measurement (PAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7799))

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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%.

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Qian, F., Huang, J., Erman, J., Mao, Z.M., Sen, S., Spatscheck, O. (2013). How to Reduce Smartphone Traffic Volume by 30%?. In: Roughan, M., Chang, R. (eds) Passive and Active Measurement. PAM 2013. Lecture Notes in Computer Science, vol 7799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36516-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-36516-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36515-7

  • Online ISBN: 978-3-642-36516-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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