Multimedia task scheduling based on improved PSO in cloud environment

Multimedia task scheduling based on improved PSO in cloud environment

Aiming at multimedia task scheduling in cloud computing environment, this paper constructs a corresponding model to optimize makespan and average task completion delay, and then proposes an improved algorithm AICLPSO (Adaptive inertia weight and Chaotic learning factor Particle Swarm Optimization) b...

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Bibliographic Details
Published in:2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) pp. 1 - 6
Main Authors: Yuan, Changqing, Su, Yue, Chen, Ruihao, Zhao, Weibo, Li, Wei, Li, Yan, Sang, Liu
Format: Conference Proceeding
Language:English
Published: IEEE 14-06-2023
Subjects:
Adaptation models
AICLPSO
Cloud
Cloud computing
Delays
Multimedia computing
Processor scheduling
Scheduling
Sensitivity
Task Scheduling
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Summary:Aiming at multimedia task scheduling in cloud computing environment, this paper constructs a corresponding model to optimize makespan and average task completion delay, and then proposes an improved algorithm AICLPSO (Adaptive inertia weight and Chaotic learning factor Particle Swarm Optimization) based on PSO to solve the problem. Through experimental simulation, compared with classical RR algorithm and particle swarm optimization algorithm, the algorithm designed in this paper has better optimization effect.
ISSN:2155-5052
DOI:10.1109/BMSB58369.2023.10211230