Abstract
In resource scheduling network, the availability of resource scheduling can be converted into the existing the fractional factor of the related network graph. The study of the existence of fractional factors in specific graph structure is helpful for engineers design and the building of the network that possesses effective resources. If after any \(n'\) vertices from G removed, the remaining graph is still a fractional (g, f, m)-covered graph, a graph G is a fractional \((g,f,n',m)\)-critical covered graph. The paper presents a network adjacency condition for a graph to be fractional \((g,f,n',m)\)-critical covered.
Supported by Modern Education Technology Research Project in Jiangsu Province (No. 2019-R-75637) and horizontal foundation “Design of equipment access system based on 3D printing cloud service platform” in Yunnan Normal University (No. 2019530101000686).
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We thank the reviewers for their constructive comments in improving the quality of this paper.
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Pan, Y., Baskonus, H.M., Gao, W. (2020). Network Adjacency Condition for Fractional \((g,f,n',m)\)-Critical Covered Graphs. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12487. Springer, Cham. https://doi.org/10.1007/978-3-030-62460-6_3
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DOI: https://doi.org/10.1007/978-3-030-62460-6_3
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