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
2132007
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
632009
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
522009
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
512006
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
502009
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
502008
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
402006
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
322006
Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming
F Nadeem, T Fahringer
Future Generation Computer Systems, 2013
242013
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
202017
BENCHMARKING GRID APPLICATIONS
F Nadeem, R Prodan, T Fahringer, A Iosup
Grid Middleware and Services, 19-38, 2008
192008
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
172015
From grids to service and pervasive computing
T Priol, M Vanneschi
Springer Science & Business Media, 2008
152008
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
132016
Performance Evaluation of Xen, KVM, and Proxmox Hypervisors
S Algarni, MR Ikbal, R Alroobaea, AS Ghiduk, F Nadeem
International Journal of Open Source Software and Processes 9 (2), 39-54, 2018
122018
Workflows for e-Science
D Gannon, E Deelman, I Taylor, M Shields
Springer-Verlag London Limited, 2007
122007
Pre-trained Word Embeddings for Arabic Aspect-Based Sentiment Analysis of Airline Tweets
MM Ashi, MA Siddiqui, F Nadeem
International Conference on Advanced Intelligent Systems and Informatics …, 2018
102018
Grid Middleware and Services
D Talia, R Yahyapour, W Ziegler
Springer Singapore Pte. Limited, 2009
102009
Availability-based resource selection risk analysis in the grid
F Nadeem, R Prodan, T Fahringer, V Keller
CoreGRID Technical Report, Number TR-0169, 2008
92008
Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems
F Nadeem, D Alghazzawi, A Mashat, K Faqeeh, A Almalaise
IEEE Access 7, 25138-25149, 2019
82019
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