Locomotive: Optimizing mobile web traffic using selective compression

Themis Melissaris, Kelly Shaw, Margaret Rose Martonosi

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

Abstract

Mobile web traffic and application data demands are growing at a rapid rate and are at odds with resource-constrained, data-capped, wireless mobile devices. Data compression can be used to reduce web traffic, save energy, and make network transfers faster. Compression can, however, hurt performance if not used judiciously. We propose Locomotive, a library that improves the performance of network transfers in wireless mobile networks by employing selective compression based on data type and network conditions. We demonstrate that Locomotive improves performance of web transfers by roughly 12-24% while reducing data usage by 39%.

Original languageEnglish (US)
Title of host publication18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538627228
DOIs
StatePublished - Jul 10 2017
Event18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Macau, China
Duration: Jun 12 2017Jun 15 2017

Publication series

Name18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference

Other

Other18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017
CountryChina
CityMacau
Period6/12/176/15/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Media Technology

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  • Cite this

    Melissaris, T., Shaw, K., & Martonosi, M. R. (2017). Locomotive: Optimizing mobile web traffic using selective compression. In 18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference [7974350] (18th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks, WoWMoM 2017 - Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WoWMoM.2017.7974350