Research of cluster based on feature vectors in autonomic database
Yanfei Gao · Computer Engineering and Applications Journal · 2008
In autonomic database system,workload characterization is a key part.In workload characterization,workload should be classified,then anticipate workload performance.Workload classification uses cluster algorithm.And in cluster algorithm,the typical is the K-means cluster algorithm.But in the K-means cluster algorithm,k should be defined and not changed.This paper makes an improvement in the algorithm,so the k is changed if needed.The result of the experiment shows that the veracity using Cluster algorithm Based on Feature Vectors(CFV) making of forecasting workload runtime is improved.