A Services Oriented Framework for Next Generation Data Analysis Centers
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10 - Volume 11
A super-peer model for resource discovery services in large-scale grids
Future Generation Computer Systems
Parallel learning using decision trees: a novel approach
AMCOS'05 Proceedings of the 4th WSEAS International Conference on Applied Mathematics and Computer Science
A super-peer model for resource discovery services in large-scale Grids
Future Generation Computer Systems
Reusable enterprise metadata with pattern-based structural expressions
Proceedings of the 9th International Conference on Aspect-Oriented Software Development
A metadata model and information system for the management of resources in a grid-based PSE toolkit
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Generic pattern mining via data mining template library
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
A super-peer model for building resource discovery services in grids: design and simulation analysis
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Hi-index | 0.01 |
The Grid supports the sharing and coordinated use of resources in dynamic heterogeneous distributed environments. The effective use of a Grid requires the definition of an approach to manage the heterogeneity of the involved resources that can include computers, data, network facilities and software tools provided by different organizations. This paper is concerned with heterogeneous resource management in Grid-based data mining applications. It discusses how resources are represented and managed in the Knowledge Grid and how XML-based metadata are used to describe data mining tools, data sources, mining models and execution plans, and how those metadata are used for the design and execution of distributed data mining applications on Grids.