ملخصات الابحاث

المجالات البحثية

الابحاث العلمية

1 - An improved hunger game search optimizer based IoT task scheduling in cloud–fog computing (2024).

2 - Hybrid Enhanced Optimization-Based Intelligent Task Scheduling for Sustainable Edge Computing (2024).

3 - Boosting task scheduling in IoT environments using an improved golden jackal optimization and artificial hummingbird algorithm (2023).

4 - Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling (2022).

5 - An Intelligent Chimp Optimizer for Scheduling of IoT Application Tasks in Fog Computing (2022).

6 - An Improved Hybrid Swarm Intelligence for Scheduling IoT Application Tasks in the Cloud (2022).

7 - IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing (2021).

8 - Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments (2021).

9 - An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing (2020).

10 - Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm (2020).

11 - Cloud Computing Technology: Promises and Concerns (2017).

12 - D-Choices Scheduling: A Randomized Load Balancing Algorithm for Scheduling in the Cloud (2017).

13 - A Simplified Particle Swarm Optimization for Job Scheduling in Cloud Computing (2017).

14 - TCSA: A dynamic job scheduling algorithm for computational grids (2016).

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