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2014 (Vol. 7, Issue: 14)
Article Information:

Services Recommendation System based on Heterogeneous Network Analysis in Cloud Computing

Junping Dong, Qingyu Xiong, Junhao Wen and Peng Li
Corresponding Author:  Peng Li 

Key words:  Cloud computing, clustering, heterogeneous network analysis, ranking, service recommendation system, ,
Vol. 7 , (14): 2858-2862
Submitted Accepted Published
January 23, 2013 February 25, 2013 April 12, 2014

Resources are provided mainly in the form of services in cloud computing. In the distribute environment of cloud computing, how to find the needed services efficiently and accurately is the most urgent problem in cloud computing. In cloud computing, services are the intermediary of cloud platform, services are connected by lots of service providers and requesters and construct the complex heterogeneous network. The traditional recommendation systems only consider the functional and non-functional requirements of services but ignore the links between providers and requesters of service, which result to the service position is not accurate. Focus on the problems, this study intends to model the relationship of the cloud services participants with the format of heterogeneous information network, which intend to mine the hidden relationships between services participants in the cloud computing environment. In theoretical research, we proposed a cloud service heterogeneous network extraction and automatic maintenance model, proposed a new service recommendation system based on heterogeneous service network ranking and clustering.
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  Cite this Reference:
Junping Dong, Qingyu Xiong, Junhao Wen and Peng Li , 2014. Services Recommendation System based on Heterogeneous Network Analysis in Cloud Computing.  Research Journal of Applied Sciences, Engineering and Technology, 7(14): 2858-2862.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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