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<p>To explore these ideas we are beginning by building a smartphone embedded app database benchmark—actually a benchmark <em>generator</em>, which will be able to use traces of database activity to synthesize a benchmark for any app. This feature is critical to ensure that we can support the variety of app database usage patterns and update the benchmark suite easily as they change. We are also evaluating the performance and energy consumption of SQLite, the embedded database provided by default to Android apps, against alternatives such as <a class="external" href="https://en.wikipedia.org/wiki/Berkeley_DB" target="_blank">BerkeleyDB</a> and <a class="external" href="https://en.wikipedia.org/wiki/H-Store" target="_blank">H-Store</a>.</p>
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<p>To explore these ideas we are beginning by building a smartphone embedded app database benchmark—actually a benchmark <em>generator</em>, which will be able to use traces of database activity to synthesize a benchmark for any app. This feature is critical to ensure that we can support the variety of app database usage patterns and update the benchmark suite easily as they change. We are also evaluating the performance and energy consumption of SQLite, the embedded database provided by default to Android apps, against alternatives such as <a class="external" href="https://en.wikipedia.org/wiki/Berkeley_DB" target="_blank">BerkeleyDB</a> and <a class="external" href="https://en.wikipedia.org/wiki/H-Store" target="_blank">H-Store</a>.</p>
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<p>(PocketData is being developed in collaboration with Geoff Challen and Luke Ziarek, and is supported by NSF Grant #1629791)</p>
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<hr />
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<hr />
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<h2>Publications</h2>
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<h2>Publications</h2>
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