| Cost-based multi-QoS job scheduling using divisible load theory in cloud computing M Abdullah, M Othman Procedia Computer Science Journal 18 (1), 928-935, 2013 | 77 | 2013 |
| Fault-tolerant service level agreement lifecycle management in clouds using actor system K Lu, R Yahyapour, P Wieder, E Yaqub, M Abdullah, B Schloer, ... Future Generation Computer Systems 54, 247-259, 2016 | 57 | 2016 |
| Internet of things for smart healthcare: a hardware perspective MT Quasim, MA Khan, M Abdullah, M Meraj, SP Singh, P Johri 2019 First International Conference of Intelligent Computing and Engineering …, 2019 | 35 | 2019 |
| Simulated annealing approach to cost-based multi-quality of service job scheduling in cloud computing enviroment M Abdullah, M Othman American Journal of Applied Sciences 11 (6), 872, 2014 | 25 | 2014 |
| Optimal workload allocation model for scheduling divisible data grid applications M Abdullah, M Othman, H Ibrahim, S Subramaniam Future Generation Computer Systems Journal 26 (7), 971-978, 2010 | 25 | 2010 |
| Adaptive divisible load model for scheduling data-intensive grid applications M Othman, M Abdullah, H Ibrahim, S Subramaniam Lecture Notes in Computer Science 4487 (1), 446-453, 2007 | 23 | 2007 |
| A2DLT: divisible load balancing model for scheduling communication-intensive grid applications M Othman, M Abdullah, H Ibrahim, S Subramaniam Lecture Notes in Computer Science 5101 (1), 246-253, 2008 | 21 | 2008 |
| A heuristic-based approach for dynamic VMs consolidation in cloud data centers M Abdullah, K Lu, P Wieder, R Yahyapour Arabian Journal for Science and Engineering 42 (8), 3535-3549, 2017 | 19 | 2017 |
| An efficient approach for message routing in optical omega network M Abdullah, M Othman, R Johari International Journal of The Computer, the Internet and Management 14 (1), 50-60, 2006 | 16 | 2006 |
| Load allocation model for scheduling divisible data grid applications M Abdullah, M Othman, H Ibrahim, S Subramaniam Journal of Computer Science 5 (10), 760, 2009 | 14 | 2009 |
| An integrated approach for scheduling divisible load on large scale data grids M Abdullah, M Othman, H Ibrahim, S Subramaniam Lecture Notes in Computer Science 4705 (1), 748-757, 2007 | 10 | 2007 |
| Integrated MOPSO algorithms for task scheduling in cloud computing M Abdullah, EA Al-Muta’a, MA Sanabani Journal of Intelligent & Fuzzy Systems 36 (2), 1823-1836, 2019 | 9 | 2019 |
| An improved genetic algorithm for job scheduling in cloud computing environment M Abdullah, M Othman Global Journal on Technology 2 (1), 291-296, 2012 | 8 | 2012 |
| Efficient parallel routing algorithms in optical multistage interconnection network M Abdullah, M Othman, R Johari 2005 13th IEEE International Conference on Networks Jointly held with the …, 2005 | 7 | 2005 |
| Improved genetic algorithm for scheduling divisible data grid application M Abduh, M Othman, H Ibrahim, S Subramaniam 2007 IEEE International Conference on Telecommunications and Malaysia …, 2007 | 5 | 2007 |
| Closed form Solution for Scheduling Arbitrarily Divisible Load Model in Data Grid Applications: Multiple Sources M Abdullah, M Othman, H Ibrahim, S Subramaniam American Journal of Applied Sciences 6 (4), 626, 2009 | 4 | 2009 |
| An Adaptive Bully Algorithm for Leader Elections in Distributed Systems M Abdullah, I Al-Kohali, M Othman International Conference on Parallel Computing Technologies, 373-384, 2019 | 3 | 2019 |
| Scheduling Divisible Jobs to Optimize the Computation and Energy Costs M Abdullah, M Othman International Journal of Engineering Science Invention 4 (2), 27-33, 2015 | 3 | 2015 |
| A new load balancing scheduling model in data grid application M Abdullah, M Othman, H Ibrahim, S Subramaniam 2008 International Symposium on Information Technology 1, 1-5, 2008 | 3 | 2008 |
| Mining the chatbot brain to improve COVID-19 bot response accuracy G Mukhtar, Y Almurtadha, F Algarni, M Abdullah, E Felemban, ... Computers, Materials, & Continua, 2619-2638, 2022 | 2 | 2022 |
Mohamed OthmanProfessor, Dept of Comm. Tech. and Network, Universiti Putra MalaysiaVerified email at upm.edu.my
