| Scheduling scientific workflow using multi-objective algorithm with fuzzy resource utilization in multi-cloud environment M Farid, R Latip, M Hussin, NAWA Hamid IEEE Access 8, 24309-24322, 2020 | 57 | 2020 |
| A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing M Farid, R Latip, M Hussin, NAW Abdul Hamid Symmetry 12 (4), 551, 2020 | 42 | 2020 |
| A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud M Farid, R Latip, M Hussin, NAWA Hamid PeerJ Computer Science 7, e747, 2021 | 4 | 2021 |
| Replication-Based Dynamic Energy-Aware Resource Provisioning for Scientific Workflows MA Ala’anzy, M Othman, EM Ibbini, O Enaizan, M Farid, YA Alsaaidah, ... Applied Sciences 13 (4), 2644, 2023 | 2 | 2023 |
| Weighted-adaptive Inertia Strategy for Multi-objective Scheduling in Multi-clouds. M Farid, R Latip, M Hussin, NAWA Hamid Computers, Materials & Continua 72 (1), 2022 | 2 | 2022 |
| Scheduling Scientific Workflow in Multi-Cloud: A Multi-Objective Minimum Weight Optimization Decision-Making Approach M Farid, HS Lim, CP Lee, R Latip Symmetry 15 (11), 2047, 2023 | 1 | 2023 |
| INDEXING STRATEGIES OF MAPREDUCE FOR INFORMATION RETRIEVAL IN BIG DATA MFE RAMADHAN Computer Science (Distributed Computing), 2016 | | 2016 |
| COMPARATIVE ANALYSIS OF PSO-DERIVED WORKFLOW SCHEDULING ALGORITHMS IN CLOUD COMPUTING BASED ON QOS REQUIREMENTS M Farid, R Latip, M Hussin, NAWA Hamid, AVS Kumar | | |
