Data Grid In Engineering TOC

1. Data Grid In Engineering TOC • Grid Overview The PF5 definition: A very high-speed trans-European network for electronic scientific communications linking research institutions and universities, as well as scientific libraries, scientific centers and, progressively, schools. • The system requirements. • 2X2+1 layers Grid Schema and TAU solutions.

2. The system requirements • The Hardware layer of GRID: - heterogeneous local and distributed systems and communication integration. • The Data and software layer of GRID: - transparency, scalability, modularity, dynamic replication and semi-automatic dynamic indexing of databases and data sources. Varied Data types: Structure data , unstructured data • The Data and software layer: - heterogeneous and multiplatform software environment. P2P instead of C2Server strategy. • The Knowledge Layer of GRID: - Searching, discovery, accessing, sharing, comparing and consolidating of data. - self-extraction of meta data , inference from data to knowledge.

3. The 2x2+1 Layers Grid Schema + TAU Solution reference • The DM decomposition methods Iddle CPU Management Hardware layer • The Vertical Communication Layer – Hardware component Data Storage Management • The semantic GRID Algorithms Databases Virtual Integration • The Vertical Communication Layer – Software& Data component Software&Data layer E-softaware and Web Services • The Vertical Communication Layer –Semantic GRIDcomponent Knowledge layer Knowledge Management

4. The IE-TAU SolutionKDD and DM Layer 2x • The TAU IT Research solution proposes resolving of a better allocation on-demands of CPU and data-storage management by decomposition methodologies and module detection methods. • The Databases and other data resources accessing, replication and indexing layer, could be better managed by decomposition methodologies and by module changes detection methods. • The knowledge layer and all its functionality could be resolved by an ontological semantic knowledge-based algorithms integrated with KDD and DM infrastructure based on decomposition methodologies. 2 +1

5. The Motivation to the IT Research of TAU Solution • Extensive distributed data to be managed over the GRID • grid-based distributed data mining algorithms • Decomposition methods spectrum focuses on divides modules to be composed into the comprehensive module from the view point of the GRID system. • Module and data detection algorithms face the dynamic changes through the GRID life cycle in the aspects of data and knowledge management and the hardware resources management. • Searching of data, Collaboration and user-profiles interests, should be treated by semantic knowledge-based methods. ------------------------------------------------------------------------------------------------------------------- THANK YOU FOR ATTENTION. • Prof Oded Maimon and his team have extensive theoretical and practical KDD & DM activities. • The KDD and DM book WEB site: http://www.eng.tau.ac.il/~maimon/ifn-kdd/ • For more details: Daniel Cohen – The IT Research Laboratory Engineer danyc@post.tau.ac.il