Cloud computing credibility evaluation based on grey clustering and entropy

Based on grey clustering and entropy, this paper proposes a grey clustering classification model to evaluate cloud computing credibility. In the model, entropy is used to resolve clustering weight determination. At last, simulation experiments is given by Matlab to verify to the model, the results show that the model is effective for cloud computing credibility evaluation.

[1]  Min Wu,et al.  A service trust negotiation and access control strategy based on SLA in cloud computing , 2012 .

[2]  Zou Zhi-hong Application of Information Entroy-based Grey Clustering Method on Water Quality Assessment , 2012 .

[3]  Ding Ya Trusted Cloud Service , 2015 .

[4]  Okyay Kaynak,et al.  Grey system theory-based models in time series prediction , 2010, Expert Syst. Appl..

[5]  Bing Liu,et al.  An efficient semi-unsupervised gene selection method via spectral biclustering , 2006, IEEE Transactions on NanoBioscience.

[6]  Lipo Wang,et al.  Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[7]  Rong Jiang,et al.  A Trustworthiness Evaluation Method for Software Architectures Based on the Principle of Maximum Entropy (POME) and the Grey Decision-Making Method (GDMM) , 2014, Entropy.

[8]  J. Wellmann,et al.  Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models , 2012 .

[9]  Le Zhang,et al.  A survey of randomized algorithms for training neural networks , 2016, Inf. Sci..

[10]  Rong Jiang An Information-Entropy-based Risk Measurement Method of Software Development Project , 2014, J. Inf. Sci. Eng..

[11]  Anil K. Jain,et al.  Dimensionality reduction using genetic algorithms , 2000, IEEE Trans. Evol. Comput..

[12]  Benjamin Naumann,et al.  Learning And Soft Computing Support Vector Machines Neural Networks And Fuzzy Logic Models , 2016 .

[13]  Madasu Hanmandlu,et al.  A novel Fuzzy Entropy based on the Non-Extensive entropy and its application for feature selection , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[14]  Satarupa Banerjee,et al.  Lidar detection of underwater objects using a neuro-SVM-based architecture , 2006, IEEE Transactions on Neural Networks.

[15]  Jeffrey Forrest,et al.  A brief introduction to grey systems theory , 2011, Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services.