Farrukh Nadeem
Farrukh Nadeem
Associate Professor, College of Computing and Information Technology, King Abdulaziz University
Verified email at kau.edu.sa - Homepage
Title
Cited by
Cited by
Year
Askalon: A development and grid computing environment for scientific workflows
T Fahringer, R Prodan, R Duan, J Hofer, F Nadeem, F Nerieri, S Podlipnig, ...
Workflows for e-Science, 450-471, 2007
1932007
A hybrid intelligent method for performance modeling and prediction of workflow activities in grids
R Duan, F Nadeem, J Wang, Y Zhang, R Prodan, T Fahringer
2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid …, 2009
572009
Soft benchmarks-based application performance prediction using a minimum training set
F Nadeem, MM Yousaf, R Prodan, T Fahringer
Second IEEE International Conference on e-Science and Grid Computing, 2006 …, 2006
492006
Predicting the execution time of grid workflow applications through local learning
F Nadeem, T Fahringer
Proceedings of the Conference on High Performance Computing Networking …, 2009
462009
Characterizing, modeling and predicting dynamic resource availability in a large scale multi-purpose grid
F Nadeem, R Prodan, T Fahringer
2008 Eighth IEEE International Symposium on Cluster Computing and the Grid …, 2008
432008
Using templates to predict execution time of scientific workflow applications in the grid
F Nadeem, T Fahringer
Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster …, 2009
422009
Using the NS-2 network simulator for evaluating network on chips (NoC)
M Ali, M Welzl, A Adnan, F Nadeem
2006 International Conference on Emerging Technologies, 506-512, 2006
342006
Performance, Scalability and Quality of the Meteorological Grid Workflow MeteoAG
F Schüller, J Qin, F Nadeem, R Prodan, T Fahringer, G Mayr
2st Austrian Grid Symposium, 21-23, 2006
342006
Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming
F Nadeem, T Fahringer
Future Generation Computer Systems, 2013
202013
Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network
F Nadeem, D Alghazzawi, A Mashat, K Fakeeh, A Almalaise, H Hagras
Cluster Computing 20 (3), 2805-2819, 2017
162017
BENCHMARKING GRID APPLICATIONS
F Nadeem, R Prodan, T Fahringer, A Iosup
Grid Middleware and Services, 19-38, 2008
162008
From grids to service and pervasive computing
T Priol, M Vanneschi
Springer Science & Business Media, 2008
142008
Workflows for e-Science
D Gannon, E Deelman, I Taylor, M Shields
Springer-Verlag London Limited, 2007
132007
An Early Evaluation and Comparison of Three Private Cloud Computing Software Platforms
F Nadeem, R Qaiser
Journal of Computer Science and Technology 30 (3), 639-654, 2015
112015
Grid Middleware and Services
D Talia, R Yahyapour, W Ziegler
Springer Singapore Pte. Limited, 2009
112009
The implementation of clinical decision support system: a case study in Saudi Arabia
SS Alqahtani, S Alshahri, AI Almaleh, F Nadeem
IJ Information Technology and Computer Science, 23-30, 2016
102016
Availability-based resource selection risk analysis in the grid
F Nadeem, R Prodan, T Fahringer, V Keller
CoreGRID Technical Report, Number TR-0169, 2008
82008
Real-world workflow support in the askalon grid environment
R Prodan, T Fahringer, F Nadeem, M Wieczorek
Grid Middleware and Services, 265-278, 2008
72008
Optimizing performance of automatic training phase for application performance prediction in the grid
F Nadeem, R Prodan, T Fahringer
International Conference on High Performance Computing and Communications …, 2007
72007
A Framework For Resource Availability Characterization And Online Prediction in the Grids
F Nadeem, R Prodan, T Fahringer, A Iosup
Grid Computing, 209-224, 2008
62008
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