Cellular DBMS — Architecture for biologically-inspired customizable autonomous DBMS

Data management is one of the fundamental requirements of ubiquitous computing. Existing data management systems are complex and provide a multitude of functionalities. Due to complexity and their monolithic architecture, it is difficult to tune these data management systems for consistent performance. In this paper, we extend our existing work of Cellular DBMS with the concept of autonomy. We present an aspect-oriented programming based model that enables us to monitor and evolve cells during data management operations for consistent performance.