The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
A grid-enabled MPI: message passing in heterogeneous distributed computing systems
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
High Performance Cluster Computing: Architectures and Systems
High Performance Cluster Computing: Architectures and Systems
Mining Very Large Databases with Parallel Processing
Mining Very Large Databases with Parallel Processing
The Data-Mining Industry Coming of Age
IEEE Intelligent Systems
Transmitting Datacubes over Congested Networks
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
From PC Clusters to a Global Computational Grid
IWCC '99 Proceedings of the 1st IEEE Computer Society International Workshop on Cluster Computing
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
A parallel optimization framework in grid environment
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Data-Parallel method for georeferencing of MODIS level 1b data using grid computing
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Grid service implementation of aerosol optical thickness retrieval over land from MODIS
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
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Parallel and Distributed Knowledge Discovery (PDKD) is emerging as a possible killer application for clusters and grids of computers. The need to process large volumes of data and the availability of parallel data mining algorithms, makes it possible to exploit the increasing computational power of clusters at low costs. On the other side, grid computing is an emerging "standard" to develop and deploy distributed, high performance applications over geographic networks, in different domains, and in particular for data intensive applications. This paper proposes an approach to integrate cluster of computers within a grid infrastructure to use them, enriched by specific data mining services, as the deployment platform for high performance distributed data mining and knowledge discovery.