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