Leveraging program analysis to reduce user-perceived latency in mobile applications

Yixue Zhao, Marcelo Schmitt Laser, Yingjun Lyu, Nenad Medvidovic

Abstract

Reducing network latency in mobile applications is an effective way of improving the mobile user experience and has tangible economic benefits. This paper presents PALOMA, a novel client-centric technique for reducing the network latency by prefetching HTTP requests in Android apps. Our work leverages string analysis and callback control-flow analysis to automatically instrument apps using PALOMA's rigorous formulation of scenarios that address "what" and "when" to prefetch. PALOMA has been shown to incur significant runtime savings (several hundred milliseconds per prefetchable HTTP request), both when applied on a reusable evaluation benchmark we have developed and on real applications.

BibTeX

@inproceedings{Zhao-al:ICSE18,
  author    = {Yixue Zhao and
               Marcelo Schmitt Laser and
               Yingjun Lyu and
               Nenad Medvidovic},
  title     = {Leveraging program analysis to reduce user-perceived latency in mobile applications},
  booktitle = {ICSE},
  pages     = {176--186},
  publisher = {{ACM}},
  year      = {2018},
}

Leveraging program analysis to reduce user-perceived latency in mobile applications

Abstract

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