Survey of task scheduling in cloud computing based on particle swarm optimization
Entisar Alkayal, Nicholas R. Jennings, Maysoon Abulkhair · 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) · 2017
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.