Abstract
How the TOC can provide better services for high-priority users while ensuring a low-priority customer service experience is one of the issues that need to be focused on. In this paper, a T-type hybrid preemptive priority queuing M/M/1 queuing system is used to build a mathematical model, and the average stay time of tasks is used as a performance index to optimize the scheduling strategy of the proposed TOC task service model. The results show that when T-type hybrid preemption priority strategy is used to schedule tasks, the average stay time of low priority tasks is less than the preemption priority queuing strategy.
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Acknowledgements
This research was supported in part by the Project of National Natural Science Foundation of China under Grant 61672006 and 61862023, the Key Project of Natural Science Research in Anhui under Grants KJ2017A340, KJ2019A0533 and KJ2019A0535, the innovation team from Fuyang Normal University under Grants 2017FSKJ12, in part by the innovation team from Fuyang Normal University under Grants XDHXTD201703 and XDHXTD201709, and the Building of Brand Specialty Projects of Fuyang Normal University under Grant 2019PPZY01.
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Liu, J., Zhang, J., Wang, X., Song, K., Wang, X. (2021). Optimization of TOC Task Scheduling Based on T-Type Hybrid Preemption Priority Queueing System. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_77
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DOI: https://doi.org/10.1007/978-3-030-53980-1_77
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