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Survey of task scheduling in cloud computing based on particle swarm optimization - 2017

Survey of task scheduling in cloud computing based on particle swarm optimization

Survey paper on task scheduling in cloud computing based on particle swarm optimization

Research Area:  Cloud Computing

Abstract:

Particle Swarm Optimization (PSO) is a metaheuristic algorithm applied to optimize many cloud-computing problems. Task scheduling is a critical problem in the cloud computing that needs to be optimized. Several research studies have been conducted to improve cloud-computing task scheduling using PSO algorithms. This paper analyzes this work in terms of its objectives and orientation. Finally, it identifies the key areas that require further research.

Keywords:  
Task Scheduling
Particle Swarm Optimization
Cloud Computing
multi-objective optimization

Author(s) Name:  Entisar S. Alkayal; Nicholas R. Jennings; Maysoon F. Abulkhair

Journal name:  

Conferrence name:  2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Publisher name:  IEEE

DOI:  10.1109/ICECTA.2017.8251985

Volume Information:  

Paper Link:   https://ieeexplore.ieee.org/abstract/document/8251985

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