Research Article
Study on Probability Statistics of Unbalanced Cloud Load Scheduling
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@INPROCEEDINGS{10.1007/978-3-030-67874-6_21, author={Shuo-yu Zeng and Yu-jun Niu and Hong-e Wu}, title={Study on Probability Statistics of Unbalanced Cloud Load Scheduling}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Cloud load Scheduling imbalance Probability statistics}, doi={10.1007/978-3-030-67874-6_21} }- Shuo-yu Zeng
Yu-jun Niu
Hong-e Wu
Year: 2021
Study on Probability Statistics of Unbalanced Cloud Load Scheduling
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_21
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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