Publications

Book Chapters

• T. Fahringer, R. Prodan, R.Duan, J. Hofer, F. Nadeem, F. Nerieri, S. Podlipnig, J. Qin, M. Siddiqui, H.-L. Truong, A. Villazon, M. Wieczorek, ASKALON: A Development and Grid Computing Environment for Scientific Workflows, in Workflows for eScience, Scientific Workflows for Grids, Springer Verlag, ISBN: 978-1-84628-519-6.   
• Radu Prodan, Farrukh Nadeem, Thomas Fahringer. Benchmarking Grid applications for performance and scalability predictions. In Handbook of Research on Scalable Computing Technologies, pages 89-121, IGI Global, 2009.
• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Vincent Keller. An Evaluation of Availability Comparison and Prediction for Optimized Resource Selection in the Grid, In From Grids to Service and Pervasive Computing, Springer US, 2008, pages 63-76, ISBN: 978-0-387-09455-7.
• Farrukh Nadeem, Radu Prodan, and Thomas Fahringer. Optimizing performance of automatic training phase for application performance prediction in the Grid. In High Performance Computing and Communications (Lecture Notes in Computer Science), Volume 4782/2007, 309-321. Springer, September 2007.  

• Farrukh Nadeem, “Using Radial Basis Function Neural Network to Predict Dynamic Resource Availability in Heterogeneous Distributed Environments” in Journal of Intelligent & Fuzzy Systems (IF=1.637), vol. 37, no. 4, pp. 5619-5632, 2019.

• Farrukh Nadeem, D. Alghazzawi, A. Mashat, K. Faqeeh and A. Almalaise, "Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems," in IEEE Access (IF=3.55), vol. 7, pp. 25138-25149, 2019.

• Sultan Algarni, Mohammad Rafi Ikbal, Roobaea Alroobaea, Ahmed Ghiduk, Farrukh Nadeem, Performance Evaluation of Xen, KVM, and Proxmox Hypervisors, International Journal of Open Source Software and Processes (IJOSSP), Volume 9, Issue 2, 2018.
• Osama Islam, Ahmed Alfakeeh, Farrukh Nadeem, A Framework for Effective Big data Analytics for Decision Support Systems, International Journal of Computer Networks and Applications, Volume 4, Issue 5, September 2017.
• Farrukh Nadeem et al. Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network, Journal of Cluster Computing (by Springer, IF= 2.040), Volume 20, Issue 3, pp 2805–2819, September 2017.
• Sahar S. Alqahtani, Sabah Alshahri, Ahood I. Almaleh, Farrukh Nadeem, The Implementation of Clinical Decision Support System: A Case Study in Saudi Arabia, International Journal of Information Technology and Computer Science, 8(8): 23-30, August 2016.

• Manal Abumelha, Awatef Hashbal, Farrukh Nadeem, Naif Aljohani, Development of Infection Control Surveillance System for Intensive Care Unit: Data Requirements and Guidelines, International Journal of Intelligent Systems and Applications 8(6): 19-26, May 2016.

• Farrukh Nadeem, A Taxonomy of Data Management Models in Distributed and Grid Environments, International Journal of Information Technology and Computer Science, 8(3): 19-32, March 2016.

• Farrukh Nadeem, Rizwan Qaiser, An Early Evaluation and Comparison of Three Private Cloud Computing Software Platforms, Journal of computer science and technology, Springer (ISI impact factor=0.63), Volume 30, issue 3, pages 639-654, DOI 10.1007/s11390-015-1550-1, May 2015.

• Farrukh Nadeem, Ranking Grid-sites based on their Reliability for Executing Jobs Successfully. International Journal of Computer Network and Information Security, Volume 7, issue 5, pages 9-15, 2015, DOI: 10.5815/ijcnis.2015.05.02, April 2015

• Farrukh Nadeem, Salma Mahgoub, Student-centered Role-based Case Study Model to Improve Learning in Decision Support Systems, International Journal of Modern Education and Computer Science (ISI Impact factor 0.13), ISSN: 2075-0161, 2014, Volume 6, Issue 10, pages 16-22, DOI: 10.5815/ijmecs.2014.10.03, 2014.

• Farrukh Nadeem, Towards Comparative Evaluation of Cloud Services, MAGNT Research Report, (ISI IF: 0.68), ISSN: 1444-8939, Volume 2, Issue 5, pages 61-68, DOI: 14.9831/1444-8939.2014/2-5/MAGNT.8, 2014.

• Farrukh Nadeem, Thomas Fahringer, Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming. Future Generation Computer Systems, Elsevier, (ISI IF: 2.6), Volume 29, Issue 4, pages: 926-935, 2013.

• Farrukh Nadeem, Predicting Resource Availability for Storage and Processing of Big Data in Distributed Environments like Grid. (submitted)

• Salma Elhag, Farrukh Nadeem, Interactive Case Based Learning in Teaching Decision Support Systems and Business Intelligence. In Proceedings of International Conference Interaccion 2012, October 3-5, 2012, Elche, Spain. publisher ACM, New York.

• Farrukh Nadeem, Thomas Fahringer, Predicting the execution time of grid workflow applications through local learning. In Proceedings of IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis 2009 (Supercomputing 2009, SC|09), pages 1--12, Nov. 14-20, 2009, Portland, Oregon, publisher ACM, New York, NY, USA. IEEE Computer Society.

• Farrukh Nadeem, Thomas Fahringer, Similarity Templates based Distributed Application Workflow Performance Prediction. In Proceedings of 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid'09), Shanghai, China, May 18-21, 2009, IEEE Computer Society Press.

• Rubing Duan, Farrukh Nadeem, Jie Wang, Radu Prodan, and Thomas Fahringer. A hybrid intelligent approach for performance modeling and prediction of workflow activities in Grids. In 9th International Symposium on Cluster Computing and the Grid. IEEE Computer Society, 2009.

• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Vincent Keller, Resource Availability Comparison and Prediction for Resource Selection Risk Analysis in the Grid. In Proceedings of CoreGRID Symposium at Europar 2008, Las Palmas de Gran Canaria, Canary Island, Spain August 25-26, 2008, Springer Verlag.

• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-Purpose Grid. In Proceedings of 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid'08), Lyon, France, May 19-22, 2008, (c) IEEE Computer Society Press.

• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Alexandru Iosup. A Framework For Resource Availability Characterization And on-Line Prediction In Large Scale Computational Grids. In Proceedings of CoreGRID Integration Workshop 2008, Hersonisson, Crete, Greece, April 2-4, 2008. ISBN: 978-960-524-260-2 (selected among the best papers to be published by Springer)

• Erik Elmroth, Johan Tordsson, Thomas Fahringer, Farrukh Nadeem, Ralf Gruber, Vincent Keller, Three Complementary Performance Prediction Methods for Grid Applications, In Proceedings of CoreGRID Integration Workshop 2008, Hersonisson, Crete, Greece, April 2-4, 2008.

• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Alexandru Iosup. Benchmarking Grid Applications for Performance and Scalability Predictions. Second CoreGRID Workshop on Middleware at 22nd International Supercomputing Conference 2007, ISC07, June 25-26, 2007, Dresden, Germany.

• Radu Prodan, Thomas Fahringer, Farrukh Nadeem, Marek Wieczorek. Real-World Workflow Support in the ASKALON Grid Environment. Second CoreGRID Workshop on Middleware at 22nd International Supercomputing Conference 2007, ISC07, June 25-26, 2007, Dresden, Germany.

• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Soft Benchmarks-based Application Performance Prediction using a Minimum Training Set, 2nd IEEE International Conference on e-Science and Grid Computing (e-Science 2006), (C) IEEE Computer Society Press, December 2006, Amsterdam, The Netherlands.

• Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Reducing the complexity of Automatic Training Phase for Performance Prediction in the Grid, 2nd Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, Oct. 27.-29.2006, Mikulov, Czek Republic.

• Felix Schüller, Jun Qin, Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Georg Mayr, Performance, Scalability and Quality of the Meteorological Grid Workflow MeteoAG, 2nd Austrian Grid Symposium, University Innsbruck, September 21 - 23, 2006. Published by OCG Verlag.

• Farrukh Nadeem, Muhammad Murtaza Yousaf, Muhammad Ali,Grid Performance Prediction: Requirements, Framework, and Models, In Proceedings of IEEE International Conference on Emerging Technologies (IEEE ICET 2006), Peshawar, Pakistan, 13-14 November 2006.

• Muhammad Ali, Michael Welzl, Awais Adnan, Farrukh Nadeem, Using the ns-2 network simulator for evaluating network on chips, In Proceedings of IEEE International Conference on Emerging Technologies (IEEE ICET 2006), Peshawar, Pakistan, 13-14 November 2006.