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Hierarchical Optimization of Network Resource for Heterogeneous Service in Cloud Scenarios

Dong Huanga,b, Yong Baib, Jingcheng Liuc, Hongtao Chend, Jinghua Lind, Jingjing Wud

a ChongQing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, ChongQing, P.R. China;
b Network Center, ChongQing Electromechanical Vocational Institute, ChongQing, P.R. China;
c School of Petroleum Engineering, ChongQing University of Science and Technology, ChongQing, P.R. China;
d Network Research Center, Ruijie Network Incorporation, FuJian, P.R. China

* Corresponding Authors: Jingcheng Liu, ; Yong Bai

Intelligent Automation & Soft Computing 2018, 24(4), 883-889.


With limited homogeneous and heterogeneous resources in a cloud computing system, it is not feasible to successively expand network infrastructure to adequately support the rapid growth in the cloud service. In this paper, an approach for optimal transmission of hierarchical network for heterogeneous service in Cloud Scenarios was presented. Initially, the theoretical optimal transmission model of a common network was transformed into the hierarchical network with the upper and lower optimization transmission model. Furthermore, the computation simplification and engineering transformation were presented for an approximation method at the low cost of computational complexity. In the final section, the average delay in the engineering method shows its influence on the capability of access for common nodes.


Cite This Article

D. Huang, Y. Bai, J. Liu, H. Chen, J. Lin et al., "Hierarchical optimization of network resource for heterogeneous service in cloud scenarios," Intelligent Automation & Soft Computing, vol. 24, no.4, pp. 883–889, 2018.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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