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Towards multi-scale query processing

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1 Author(s)
Victor Cuevas-Vicenttin ; Grenoble Informatics Laboratory, CNRS - Grenoble Institute of Technology - University Joseph Fourier, BP 72, 38402 Saint Martin d¿Hères, France

This paper discusses our ongoing research efforts in regards to processing multi-scale queries in service-oriented environments. A multi-scale query is a query over traditional datasets in conjunction with streaming data and that may involve spatio-temporal aspects. In a service-oriented environment, classic and streaming data are made available and processed through services, which we refer to as data providers. We present an approach based on applying service composition techniques to data providers along with traditional database operators, resulting in query evaluation plans which, complemented by optimization and adaptation mechanisms, will enable flexible query processing and data integration among a diverse range of data sources in dynamic environments.

Published in:

Data Engineering Workshop, 2008. ICDEW 2008. IEEE 24th International Conference on

Date of Conference:

7-12 April 2008