 | 2009 |
| 6 |  | Farrukh Nadeem,
Thomas Fahringer:
Using Templates to Predict Execution Time of Scientific Workflow Applications in the Grid.
CCGRID 2009: 316-323 |
| 5 |  | Rubing Duan,
Farrukh Nadeem,
Jie Wang,
Yun Zhang,
Radu Prodan,
Thomas Fahringer:
A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids.
CCGRID 2009: 339-347 |
| 4 |  | Farrukh Nadeem,
Thomas Fahringer:
Predicting the execution time of grid workflow applications through local learning.
SC 2009 |
| 2008 |
| 3 |  | Farrukh Nadeem,
Radu Prodan,
Thomas Fahringer:
Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid.
CCGRID 2008: 348-357 |
| 2007 |
| 2 |  | Farrukh Nadeem,
Radu Prodan,
Thomas Fahringer:
Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid.
HPCC 2007: 309-321 |
| 2006 |
| 1 |  | Farrukh Nadeem,
Muhammad Murtaza Yousaf,
Radu Prodan,
Thomas Fahringer:
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set.
e-Science 2006: 71 |