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abstract.tex
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\begin{abstract}
A large body of recent work has proposed analytical and empirical
techniques for quantifying the data consistency properties of
distributed data stores. In this demonstration, we begin to explore
the wide range of new database functionality they enable, including
dynamic query tuning, consistency SLAs, monitoring, and
administration. Our demonstration will exhibit how both application
programmers and database administrators can leverage these features.
We describe three major application scenarios and present a system
architecture for supporting them. We also describe our experience in
integrating Probabilistically Bounded Staleness (PBS) predictions into
Cassandra, a popular NoSQL store and sketch a demo platform that will
allow SIGMOD attendees to experience the importance and applicability
of real-time consistency metrics.
\end{abstract}