Open Access
ARTICLE
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. https://doi.org/10.1080/10798587.2017.1327634
Abstract
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.
Keywords
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. https://doi.org/10.1080/10798587.2017.1327634