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28 March 2023 A novel genetic algorithm for resource allocation and task scheduling in MEC scenario
Ying He, Jianping Zheng
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Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663T (2023) https://doi.org/10.1117/12.2668280
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China
Abstract
Mobile edge computing (MEC) is one of the key technologies of 5G. Due to the limited computing resources of MEC server, it’s a quite hard problem for task offloading decision and resource allocation when multiple users share the resources in MEC. To solve this problem, an improved genetic algorithm is proposed, and a multi-segment chromosome structure and a mixed fitness scaling method are designed with the target of maximizing overall system benefit in terms of time delay utility. Simulation experiments show that this algorithm has good convergence and high computational efficiency.
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Ying He and Jianping Zheng "A novel genetic algorithm for resource allocation and task scheduling in MEC scenario", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663T (28 March 2023); https://doi.org/10.1117/12.2668280
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KEYWORDS
Genetic algorithms
Mathematical optimization
Computer simulations
Genetics
Evolutionary optimization
Mobile devices
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