Our technique determines per-application resource quo- tas in the database and storage caches, on the fly, in a transparent manner, with minimal changes to the DBMS, and no changes to existing interfaces between compo- nents. Towards this objective, we use an online perfor- mance estimation algorithm to dynamically determine the mapping between any given resource configuration setting and the corresponding application latency. While designing and implementing a performance model for guiding the resource partitioning search is non-trivial, our key insight is to design a model with sufficient ex- pressiveness to incorporate i) tracking of dynamic access patterns, and ii) sufficiently generic assumptions about the inner mechanisms of the system components and the system as.
