Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Knowledge discovery in databases: an attribute-oriented rough set approach
Knowledge discovery in databases: an attribute-oriented rough set approach
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
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
Rough set based data mining tasks scheduling on knowledge grid
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Rough set based computation times estimation on knowledge grid
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Hi-index | 0.00 |
In this paper, we propose a new solution for data mining task scheduling in Grid environment. First, we propose a sample-based application run time evaluation. Then, we propose a cost model for predicting the data transfer time on Grid. Finally, according the priori estimation of the application response time and the data transfer time, we propose the method for tasks scheduling in grid environment.