11 lines
2.1 KiB
TeX
11 lines
2.1 KiB
TeX
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\subsection{PhoneLab}
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PhoneLab~\cite{phonelab} is a large, programmable smartphone testbed deployed at the the University at Buffalo. PhoneLab provides researchers with limited access to deploy experiments to participants' smartphones, and provides participants with incentives to participate in these experiments. As of June 2015, PhoneLab had 290 total participants, all of whom were using Nexus 5 smartphones running an instrumented branch of Android 4.4.4. The age of these participants vary between 18-70 with a majority of them between 21-40. The gender distribution is approximately 50-50. Participating smartphones log experimental results, which are collected by a centralized service every 24 hours, where they are made available to authorized researchers.
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% These logs are then studied and analysed to obtain results such as the ones this script talks about.
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\subsection{Data Collection and Analysis}
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Our trace data-set is drawn from log data collected by PhoneLab. 11 PhoneLab participants willingly released\footnote{\url{https://phone-lab.org/static/experiment/sample_dataset.tgz}} complete trace data for their phone for the month of March 2015, a period of 31 days. The publicly released trace data includes a log of all statements evaluated by SQLite\footnote{All features are documented at \url{https://phone-lab.org/experiment/data/}}, as well as the calling application and statement run time. Personally identifying information has been stripped out, and prepared statement arguments are only provided as hash values. Of the eleven participants, seven had phones that were participating in the SQLite experiment every day for the full month. The remaining phones were active for 1, 3, 14, and 19 days respectively. A total of 254 phone/days of data were collected. The collected data includes 45,399,550 SQL statements. Of these, we were unable to interpret 308,752 statements (representing slightly over half a percent of the trace) due to a combination of data corruption and the use of unusual SQL syntax. Results presented in this paper are based on the 45,090,798 queries that we were able to successfully parse.
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