The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
NILE: wide-area computing for high energy physics
EW 7 Proceedings of the 7th workshop on ACM SIGOPS European workshop: Systems support for worldwide applications
KNOWLEDGE GRID: High Performance Knowledge Discovery on the Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Predicting Queue Times on Space-Sharing Parallel Computers
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
A Historical Application Profiler for Use by Parallel Schedulers
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Predicting Application Run Times Using Historical Information
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
Scheduling High Performance Data Mining Tasks on a Data Grid Environment
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
The Cactus Code: A Problem Solving Environment for the Grid
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
| Hi-index | 0.00 |
Because of the irregular characteristic of Grid environment, we are unable to predict the performance using the traditional method. In this paper, we propose a novel method for predicting the performance in Grid Computing environment. The method, based on frequencies of application attributes appeared in discernibility matrix collected during a period of time; predict the applications performance that the traditional methods can't obtain. We use the novel method in Data Ming Grid and obtain better result than traditional methods. The results of the experiment show that the use of reduct algorithm can process uncertain problem in Data Mining Grid. The theoretical foundation of ruduct provides a feasible solution to the problem of predicting Data Mining Grid.