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Title	Research On Resource Scheduling And Optimization Strategies Of Edge Computing-Based 5G Networks In Smart City Applications
ID_Doc	45588
Authors	Wang Y.; Wang D.; Lin G.; Zheng B.; Luo L.; Li S.
Year	2023
Published	2023 4th International Symposium on Computer Engineering and Intelligent Communications, ISCEIC 2023
DOI	http://dx.doi.org/10.1109/ISCEIC59030.2023.10271103
Abstract	In this paper, we explore in detail resource scheduling strategies in cloud computing environments. First, we introduce the basic concepts and background of cloud computing, and then delve into the importance and challenges of resource scheduling. The article then describes our proposed new resource scheduling strategy in detail and verifies its performance through experiments. The experimental results show that our strategy outperforms other strategies in terms of task completion time, resource utilization, and the percentage of tasks that satisfy latency requirements. © 2023 IEEE.
Author Keywords	Cloud Computing; Latency requirements; resource scheduling; Resource utilization; Stochastic Scheduling; Task completion time

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