1 line
1.1 KiB
TeX
1 line
1.1 KiB
TeX
Embedded database engines such as SQLite are now found in most major operating systems, where they serve as a persistence layer for user-facing applications. This is especially true for modern mobile operating systems like Android. The performance of these engines directly impacts the power-consumption and response time of user-facing applications and the devices on which they are deployed. It is now more important than ever that we understand how such applications interact with their embedded databases, the environment in which these applications are run, and other factors such as power consumption, which impact and are impacted by database performance. In this paper, we present the results of a long-running case study, tracing SQLite access patterns and run-time characteristics for applications on Android smart phones. We outline our findings, present key features that distinguish user-facing smart phone database workloads from canonical server workloads, and propose the foundational characteristics of a benchmarking suite for mobile device databases based on our findings. |