Adding README with abstract and links.
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## Pocket Data: The Need for TPC-MOBILE
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### Abstract
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Embedded database engines such as SQLite provide a convenient data
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persistence layer and have spread along with the applications using them to
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many types of systems, including interactive devices such as smartphones.
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Android, the most widely-distributed smartphone platform, both uses SQLite
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internally and provides interfaces encouraging apps to use SQLite to store
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their own private structured data. As similar functionality appears in all
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major mobile operating systems, embedded database performance affects the
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response times and resource consumption of billions of smartphones and the
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millions of apps that run on them---making it more important than ever to
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characterize smartphone embedded database workloads. To do so, we present
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results from an experiment which recorded SQLite activity on 11~Android
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smartphones during one month of typical usage. Our analysis shows that Android
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SQLite usage produces queries and access patterns quite different from
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canonical server workloads. We argue that evaluating smartphone embedded
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databases will require a new benchmarking suite and we use our results to
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outline some of its characteristics.
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### Links
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* Published in [TPC-TC](http://tpc.org/tpctc/tpctc2015/default.asp)
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* Download the [PDF](http://odin.cse.buffalo.edu/wp-content/uploads/2015/08/tpctc2015.pdf)
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* View the [presentation in HTML](http://odin.cse.buffalo.edu/slides/talks/2015-PocketData)
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* Download the [presentation in PDF](http://odin.cse.buffalo.edu/slides/talks/2015-PocketData.pdf)
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