IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing

Faculty Science Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Ibrahim Abdelhameed Attiya Ahmed
Journal: Computational Intelligence and Neuroscience Hindawi Volume: 2021
Keywords : , Workflow Scheduling Using Intelligent Arithmetic Optimization    
Abstract:
Instead of the cloud, the Internet of things (IoT) activities are offloaded into fog computing to boost the quality of services (QoSs) needed by many applications. However, the availability of continuous computing resources on fog computing
    
     
 
       

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, "A Simplified Particle Swarm Optimization for Job Scheduling in Cloud Computing", Foundation of Computer Science (FCS), NY, USA, 2017 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

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  • Yasser AbdelAziz Amer Tolba, "The improved (G’/G) - expansion method for constructing exact traveling wave solutions for a nonlinear PDE of nanobiosciences", USA, 2013 More
  • Alaa Hassan Attia Hassan, "A Unified Representation of Some Starlike and Convex Harmonic Functions with Negative Coefficients", AGH University of Science and Technology Press, Krakow 2013, Poland, 2013 More
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