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28 September 2022 Research on task scheduling algorithm of PSO-BAS in cloud environment
Yibin He, Luyong Zhang
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Proceedings Volume 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022); 1233918 (2022) https://doi.org/10.1117/12.2652517
Event: Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 2022, Chendu, China
Abstract
In the cloud computing environment, how to ensure that tasks are efficient and reasonable in scheduling and execution, is a problem that researchers and developers need attention. This paper combines particle swarm algorithm (PSO) and beetle antennae search algorithm (BAS) to comprehensively consider overall consumption and longest completion time, including scheduling time and processing time. The simulation experiments are carried out by Cloudsim, corresponding comparisons with FCFS, Round Robin, SJF, and PSO algorithms are shown: by comparing single PSO, the convergence effect is better; by comparing with other algorithms, it can not only reduce the average completion time, but also save costs.
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Yibin He and Luyong Zhang "Research on task scheduling algorithm of PSO-BAS in cloud environment", Proc. SPIE 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 1233918 (28 September 2022); https://doi.org/10.1117/12.2652517
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KEYWORDS
Clouds
Particle swarm optimization
Particles
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