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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.

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data grid in engineering toc
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.
the system requirements
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.

the 2x2 1 layers grid schema tau solution reference
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

the ie tau solution kdd and dm
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

the motivation to the it research of tau solution
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

[email protected]

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