Abstract
Aiming at the problem of unstable equilibrium probability in modern load scheduling applications, a statistical method of unbalanced probability in cloud load scheduling is proposed. The weights and anti-saturation factors are calculated, the servers are grouped, the fuzzy cyclic iterative control of dynamic network resources is realized, and the network packet cloud load scheduling is designed. By comparing with the common methods, it is proved that the method designed in this paper can guarantee high equilibrium probability and good stability in a certain program.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zeng, Sy., Niu, Yj., Wu, He. (2021). Study on Probability Statistics of Unbalanced Cloud Load Scheduling. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-67874-6_21
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DOI: https://doi.org/10.1007/978-3-030-67874-6_21
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