DocumentCode :
3532076
Title :
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
Link To Document :
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