Title :
Spatio-temporal data services in a shared-nothing environment
Author :
Hadjieleftheriou, Marios ; Kriakov, Vassil ; Tao, Yangui ; Kollios, George ; Delis, Alex ; Tsotras, Vassilis J.
Author_Institution :
California Univ., Riverside, CA, USA
Abstract :
Recently, there has been a proliferation of applications that produce spatiotemporal data that has to be processed, stored and queried efficiently. These applications necessitate the execution of millions of updates in order to keep the underlying database up-to-date. Consequently, there is a need for spatiotemporal data management systems that are able to support such update intensive operations. Moreover, these systems should offer users the capability to examine present as well as past (historical) data versions in an on-line fashion. We propose a system that exploits the inherent parallelism of a shared-nothing computing environment for storing and indexing the spatiotemporal data. We describe our proposed system architecture, data organization, and outline techniques for ensuring robustness and scalability under excessive query loads and high update rates.
Keywords :
data structures; database indexing; parallel processing; query processing; temporal databases; visual databases; workstation clusters; data organization; data processing; data querying; data stored; data versions; outline techniques; parallel computing; query loads; shared-nothing computing environment; shared-nothing environment; spatiotemporal data indexing; spatiotemporal data management systems; spatiotemporal data services; spatiotemporal data storage; system architecture; Computer architecture; Concurrent computing; Conference management; Databases; Indexing; Parallel processing; Robustness; Spatiotemporal phenomena; Wireless sensor networks; Workstations;
Conference_Titel :
Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-2146-0
DOI :
10.1109/SSDM.2004.1311204