A Simplified Particle Swarm Optimization for Job Scheduling in Cloud Computing

Faculty Science Year: 2017
Type of Publication: ZU Hosted Pages: 34-41
Authors:
Ibrahim Abdelhameed Attiya Ahmed
Journal: International Journal of Computer Applications Foundation of Computer Science (FCS), NY, USA Volume: 9
Keywords : , Simplified Particle Swarm Optimization , , Scheduling , Cloud    
Abstract:
Recent advances in various areas such as networking, information and communication technologies have greatly boosted the potential capabilities of cloud computing and made it become more prevalent in recent years. Cloud computing is a promi
    
     
 
       

Author Related Publications

  • Ibrahim Abdelhameed Attiya Ahmed, "Cloud Computing Technology: Promises and Concerns", Foundation of Computer Science (FCS), NY, USA, 2017 More
  • Ibrahim Abdelhameed Attiya Ahmed, "TCSA: A dynamic job scheduling algorithm for computational grids", IEEE, 2016 More
  • Ibrahim Abdelhameed Attiya Ahmed, "D-Choices Scheduling: A Randomized Load Balancing Algorithm for Scheduling in the Cloud", American Scientific Publishers, 2017 More
  • Ibrahim Abdelhameed Attiya Ahmed, "Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments", Elsevier B.V, 2021 More
  • Ibrahim Abdelhameed Attiya Ahmed, "IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing", Hindawi, 2021 More

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