Mobile Query Optimization based on Agent-Technology for Distributed Data
Warehouse and OLAP Applications
Abstract:
With the rapid collection of data in wide variety of fields - ranging from
business transactions through medical investigations to scientific research -
the demands in data analysis are ever growing. Today's challenges are less
related to data storage and information retrieval, but can rather be found in
the analysis of data on a global scale in a heterogeneous system: technologies
such as On-Line Analytical Processing, Data Mining, and Knowledge Discovery in
Databases all require the integration of information and efficient query
processing. In distributed and heterogeneous datasets this can only be the
efficient distribution and scheduling of subtasks in a distributed computing
resource. We propose the use of mobile query optimization based on
agent-technology for distributed data warehouse and OLAP applications to adapt
the current query execution dynamically to the computing resources it executes
on. This is particular importance in cluster and grid computing.
Authors:
Abdelkader Hameurlain
Institut de Recherche en Informatique de Toulouse
IRIT, Université Paul Sabatier, Toulouse, France.
Franck Morvan
Institut de Recherche en Informatique de Toulouse
IRIT, Université Paul Sabatier, Toulouse, France.
Philipp Tomsich
Institute of Software Technology, Vienna University of Technology, Austria.
Robert M. Bruckner
Institute of Software Technology, Vienna University of Technology, Austria.
Harald Kosch
Department of Information Technology, Universität
Klagenfurt, Austria.
Peter Brezany
Institut für Softwaretechnik und Parallele
Systeme, Universität Wien, Austria.
Publishing Information:
First International Workshop on Very Large Data Warehouses (VLDWH
2002).
In 13th International Workshop on Database and Expert Systems
Applications (DEXA'02), IEEE Computer Society Press, Aix-en-Provence,
France, September 2002.