Web proceedings papers


Gjorgi Kakasevski and Armey Krause


Because of the nature of Grid to be heterogeneous and distributed environment, the database systems which should work on Grid must support this architecture. OGSA-DAI is an example of such extensible service-based framework that allow data resources to be incorporated into Grid fabrics. On the other side, new trends in databases and data mining acquire tightly-coupled integration between raw data and patterns (mined data). Inductive databases are concept that allows this and users can query both data and patterns with query languages like SQL. For that reason, we propose OGSA-DAI extension for distributed data mining. In this paper, we introduce heterogeneous and distributed databases, then we discuss inductive databases, distributed data mining and our proposed model.


grid computing, heterogeneous distributed databases, OGSA-DAI.