@Article{10798587.2017.1327634,
AUTHOR = {Dong Huang, Yong Bai, Jingcheng Liu, Hongtao Chen, Jinghua Lin, Jingjing Wu},
TITLE = {Hierarchical Optimization of Network Resource for Heterogeneous Service in Cloud  Scenarios},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {4},
PAGES = {883--889},
URL = {http://www.techscience.com/iasc/v24n4/39800},
ISSN = {2326-005X},
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.},
DOI = {10.1080/10798587.2017.1327634}
}