Cellular DBMS: An Attempt Towards Biologically-Inspired Data Management
Syed Saif ur Rahman, Veit Köppen, Gunter Saake · Journal of Digital Information Management · 2010
Existing database management systems (DBMS) are complex and less predictable (i.e., the consistency of performance with the increase of functionality and the data growth is not certain). Database researchers acknowledge the need for revisiting DBMS architectures to fulfill the needs of new hardware and application trends. We propose a biologically inspired DBMS architecture called ”Cellular DBMS”. The Cellular DBMS architecture promises development of highly customizable and autonomous DBMS. This report explains in detail the design principles for Cellular DBMS architecture. It also explains an aspect-oriented programming based model to equip Cellular DBMS architecture with autonomy. Finally, it presents an extension to decomposed storage model (DSM) for use in Cellular DBMS.