A study of VMware ESXi 5.1 server has been carried out to find the optimalset of parameters which suggest usage of different resources of the server.Feature selection algorithms have been used to extract the optimum set ofparameters of the data obtained from VMware ESXi 5.1 server using esxtopcommand. Multiple virtual machines (VMs) are running in the mentioned server.K-means algorithm is used for clustering the VMs. The goodness of each clusteris determined by Davies Bouldin index and Dunn index respectively. The bestcluster is further identified by the determined indices. The features of thebest cluster are considered into a set of optimal parameters.
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