allows for the distributed execution of data mining algorithms and KDD applications on Grids through the use of WSRF Web Services. New version is fully service-oriented and each data mining task or workflow is implemented as one or a set of services.
The Grid Computing Lab of University of Calabria (Italy) in
cooperation with ICAR-CNR
developed a new version of the
KNOWLEDGE GRID
which allows for the distributed
execution of data mining algorithms and KDD applications on Grids through
the use of
WSRF Web Services. In this new version is fully service-oriented and each
data mining
task or workflow is implemented as one or a set of services.
The KNOWLEDGE GRID
is designed on top of computational Grid mechanisms provided by
Grid environments such as
Globus Toolkit
and uses basic Grid services such as communication,
authentication, information, and resource management to build more
specific distributed data mining tools and services.
The KNOWLEDGE GRID
services are organized into two layers:
- Core K-Grid Layer , which is built on top of generic Grid services, and
- High-Level K-Grid Layer , which is implemented over the core layer.
The KNOWLEDGE GRID
enables the collaboration of scientists that must mine data that are
stored in different research centers as well as executive managers that
must use a knowledge
management system that operates on several data warehouses located in the
different company establishments.
A visual software environment, named DIS3GNO, has been implemented
to allow a user to:
- compose a distributed data mining workflow;
- execute the workflow onto the KNOWLEDGE GRID
- visualize the results of the data mining task.
DIS3GNO performs the mapping of user-defined workflows to the
conceptual model and submits it to the
KNOWLEDGE GRID
services, managing the overall
computation in a way that is transparent to the user.
The software prototype is available at:
http://grid.deis.unical.it/kgrid/
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