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24 May 2022 Unloading strategy with caching mechanism based on genetic-particle swarm optimization algorithm
Biying Peng, Taoshen Li, Yan Chen
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Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 122600J (2022) https://doi.org/10.1117/12.2637404
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
For time-delay sensitive applications in moving edge computing scenarios, this paper proposes an offloading strategy with caching mechanism based on genetic-particle swarm optimization algorithm. The strategy combines the above two algorithms to obtain the optimal offloading ratio and caching decision in edge computing offloading. Caching completed and multiple requested tasks and their associated data to the edge cloud minimizes task unload delays. The simulation experiment results demonstrate that this strategy can significantly reduce the delay of mobile edge computing.
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Biying Peng, Taoshen Li, and Yan Chen "Unloading strategy with caching mechanism based on genetic-particle swarm optimization algorithm", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 122600J (24 May 2022); https://doi.org/10.1117/12.2637404
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KEYWORDS
Clouds
Mobile devices
Particle swarm optimization
Particles
Optimization (mathematics)
Genetic algorithms
Binary data
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