SCUBA: Scalable Cluster-Based Algorithm for Evaluating Continuous Spatio-temporal Queries on Moving Objects

In this paper, we propose, SCUBA, a Scalable Cl uster Based Algorithm for evaluating a large set of continuous queries over spatio-temporal data streams. The key idea of SCUBA is to group moving objects and queries based on common spatio-temporal properties at run-time into moving clusters to optimi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Nehme, Rimma V., Rundensteiner, Elke A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Cluster Member Computer science control theory systems Computer systems and distributed systems. User interface Continuous Query Exact sciences and technology Incremental Cluster Information systems. Data bases Location Update Memory organisation. Data processing Query Execution Software
Online-Zugang:	Volltext
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