Distributed Spatial Database Management for Context Aware Computing Systems

Author

Pils, Carsten ; Roussaki, Ioanna ; Strimpakou, Maria

Author_Institution

Waterford Inst. of Technol., Waterford

fYear

2007

fDate

1-5 July 2007

Firstpage

1

Lastpage

5

Abstract

Context management systems collect large volumes of spatial and non-spatial information. In particular, when these systems cover large areas like cities, countries or even the entire planet, the design of scalable storage, retrieval and delivery mechanisms is paramount. The Daidalos context management system has been design to meet the requirements of large scale systems. This paper presents the Daidalos approach for a scalable distributed data management approach. The system architecture, the management of mobile database nodes and federation issues are described.

Keywords

distributed databases; visual databases; Daidalos context management system; context aware computing systems; distributed spatial database management; mobile database; Buildings; Cities and towns; Context awareness; Database systems; Distributed computing; Distributed databases; Information retrieval; Large-scale systems; Planets; Spatial databases; context management; distributed spatial database; federation;

fLanguage

English

Publisher

ieee

Conference_Titel

Mobile and Wireless Communications Summit, 2007. 16th IST

Conference_Location

Budapest

Print_ISBN

963-8111-66-6

Electronic_ISBN

963-8111-66-6

Type

conf

DOI

10.1109/ISTMWC.2007.4299105

Filename

4299105