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10.1145/2536714.2536718acmotherconferencesArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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PhoneLab: A Large Programmable Smartphone Testbed

Published: 11 November 2013 Publication History

Abstract

As smartphones have emerged as the most widely deployed mobile computing platform, the scale of smartphone experimentation has lagged behind. New facilities enabling large-scale experiments are needed to ensure that research discoveries translate to the billions of smartphones in use today. To meet this challenge, we introduce PhoneLab, a 288-device smartphone testbed deployed at the University at Buffalo. PhoneLab provides access to smartphone users incentivized to participate in experiments while simplifying experiment data collection. The testbed will open for public experimentation in October, 2013, and continue to expand in 2014. To demonstrate the power of PhoneLab, we present three selected results from a usage characterization experiment run on 115 phones for 21 days. We use each result to motivate a future PhoneLab experiment, demonstrating how PhoneLab will enable mobile systems research.

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cover image ACM Other conferences
SENSEMINE'13: Proceedings of First International Workshop on Sensing and Big Data Mining
November 2013
53 pages
ISBN:9781450324304
DOI:10.1145/2536714
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 November 2013

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Author Tags

  1. Smartphones
  2. mobile devices
  3. testbed

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  • (2022)A Low Cost Decentralized Future Contacts Prediction Model Using Wi-Fi TracesIEEE Transactions on Mobile Computing10.1109/TMC.2021.306502621:11(3807-3821)Online publication date: 1-Nov-2022
  • (2022)A survey on analyzing encrypted network traffic of mobile devicesInternational Journal of Information Security10.1007/s10207-022-00581-y21:4(873-915)Online publication date: 1-Aug-2022
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  • (2021)Thermal-Aware Overclocking for Smartphones2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)10.1109/ISPASS51385.2021.00039(220-222)Online publication date: Mar-2021
  • (2021)Mobile broadband quality of service analysis using host-based performance measurementsAfrican Journal of Science, Technology, Innovation and Development10.1080/20421338.2021.193688714:4(1083-1101)Online publication date: 19-Jul-2021
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