An Approach to Parallelization of Remote Data Integration Tasks

An Approach to Parallelization of Remote Data Integration Tasks

Data integration from autonomous, remote data sources is complicated by the data source heterogeneity, lack of methodological support and appropriate data integration systems. To solve this problem, the On-demand Remote Data Integration Architecture (ORDIA) is defined, which promotes maintenance and...

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Veröffentlicht in:Rīgas Tehniskās universitātes zinātniskie raksti. Scientific proceedings of Riga Technical university. 5. Sērija, Datorzinātne Datorzinātne, 2011-01, Vol.49 (IT and Management Science), p.24-24
Hauptverfasser: Kampars, Janis, Grabis, Janis
Format: Artikel
Sprache:eng ; lav
Schlagworte:
Algorithms
Architecture
Computation
Data integration
Data sources
Heterogeneity
Parallel processing
Tasks
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Zusammenfassung:Data integration from autonomous, remote data sources is complicated by the data source heterogeneity, lack of methodological support and appropriate data integration systems. To solve this problem, the On-demand Remote Data Integration Architecture (ORDIA) is defined, which promotes maintenance and allows minimizing data integration time. A data integration task parallelization algorithm is the key part of this architecture. A detailed description of this algorithm is provided, and its performance is evaluated by experimental comparison with other data integration solutions.
ISSN:1407-7493