dc.contributor.author |
Pils, C |
en |
dc.contributor.author |
Roussaki, I |
en |
dc.contributor.author |
Strimpakou, M |
en |
dc.date.accessioned |
2014-03-01T02:44:35Z |
|
dc.date.available |
2014-03-01T02:44:35Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/31884 |
|
dc.subject |
Context management |
en |
dc.subject |
Distributed spatial database |
en |
dc.subject |
Federation |
en |
dc.subject.other |
Administrative data processing |
en |
dc.subject.other |
Computer systems |
en |
dc.subject.other |
Data storage equipment |
en |
dc.subject.other |
Database systems |
en |
dc.subject.other |
Information management |
en |
dc.subject.other |
Large scale systems |
en |
dc.subject.other |
Machine design |
en |
dc.subject.other |
Management |
en |
dc.subject.other |
Management information systems |
en |
dc.subject.other |
Systems engineering |
en |
dc.subject.other |
Telecommunication |
en |
dc.subject.other |
Context management |
en |
dc.subject.other |
Context-Aware computing |
en |
dc.subject.other |
Context-management systems |
en |
dc.subject.other |
Daidalos |
en |
dc.subject.other |
Distributed data |
en |
dc.subject.other |
Distributed spatial database |
en |
dc.subject.other |
Federation |
en |
dc.subject.other |
Mobile and wireless communications |
en |
dc.subject.other |
Mobile databases |
en |
dc.subject.other |
Scalable storage |
en |
dc.subject.other |
Spatial database |
en |
dc.subject.other |
Spatial informations |
en |
dc.subject.other |
System architectures |
en |
dc.subject.other |
Distributed database systems |
en |
dc.title |
Distributed spatial database management for context aware computing systems |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ISTMWC.2007.4299105 |
en |
heal.identifier.secondary |
4299105 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ISTMWC.2007.4299105 |
en |
heal.publicationDate |
2007 |
en |
heal.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. |
en |
heal.journalName |
2007 16th IST Mobile and Wireless Communications Summit |
en |
dc.identifier.doi |
10.1109/ISTMWC.2007.4299105 |
en |