Toward Green Cloud Computing: An Attribute Clustering Based Collaborative Filtering
Method for Virtual Machine Migration
In this study, an attribute clustering based collaborative filtering algorithm is depicted for virtual machine migration towards green Cloud computing. The algorithm utilizes similarity characteristics of virtual machine task related attributes, especially CPU related attributes, to filter redundant data by feature selection. Then by referencing K-Means clustering to effectively solve the rating scale problems existing in the traditional collaborative filtering recommendation algorithm. Experiments use virtual machine task related information for clustering the data. By integration of a scaled rating scheme on task related properties and the collaborative filtering philosophy to provide migration recommendation for system administrators.
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