Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network
Joint Authors
Chen, Zhijia
Zhu, Yuanchang
Di, Yanqiang
Feng, Shaochong
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-26
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In IaaS (infrastructure as a service) cloud environment, users are provisioned with virtual machines (VMs).
To allocate resources for users dynamically and effectively, accurate resource demands predicting is essential.
For this purpose, this paper proposes a self-adaptive prediction method using ensemble model and subtractive-fuzzy clustering based fuzzy neural network (ESFCFNN).
We analyze the characters of user preferences and demands.
Then the architecture of the prediction model is constructed.
We adopt some base predictors to compose the ensemble model.
Then the structure and learning algorithm of fuzzy neural network is researched.
To obtain the number of fuzzy rules and the initial value of the premise and consequent parameters, this paper proposes the fuzzy c-means combined with subtractive clustering algorithm, that is, the subtractive-fuzzy clustering.
Finally, we adopt different criteria to evaluate the proposed method.
The experiment results show that the method is accurate and effective in predicting the resource demands.
American Psychological Association (APA)
Chen, Zhijia& Zhu, Yuanchang& Di, Yanqiang& Feng, Shaochong. 2015. Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1057782
Modern Language Association (MLA)
Chen, Zhijia…[et al.]. Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1057782
American Medical Association (AMA)
Chen, Zhijia& Zhu, Yuanchang& Di, Yanqiang& Feng, Shaochong. Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1057782
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057782