Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity

Abstract

Data systems with adaptive storage can autonomously change their behavior by altering how data is stored and accessed. Such systems have been studied primarily for the case of adaptive indexing to automatically create the right indexes at the right granularity. More recently work on adaptive loading and adaptive data layouts brought even more flexibility. We survey this work and describe the need for even deeper adaptivity that goes beyond adjusting knobs in a single architecture; instead it can adapt the fundamental architecture of a data system to drastically alter its behavior.