Cellular DBMS — Architecture for biologically-inspired customizable autonomous DBMS

Author

Rahman, Syed Saifur ; Lodhi, Azeem ; Saake, Gunter

Author_Institution

Sch. of Comput. Sci., Univ. of Magdeburg, Magdeburg, Germany

fYear

2009

fDate

28-31 July 2009

Firstpage

297

Lastpage

302

Abstract

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.

Keywords

biology computing; database management systems; software architecture; ubiquitous computing; architecture; aspect-oriented programming; autonomous DBMS; biologically-inspired DBMS; cellular DBMS; data management; ubiquitous computing; Biological system modeling; Biological systems; Biological tissues; Biology; Computer architecture; Computer science; Monitoring; Predictive models; Spatial databases; Ubiquitous computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Networked Digital Technologies, 2009. NDT '09. First International Conference on

Conference_Location

Ostrava

Print_ISBN

978-1-4244-4614-8

Electronic_ISBN

978-1-4244-4615-5

Type

conf

DOI

10.1109/NDT.2009.5272072

Filename

5272072