Cloudcomputingmodelsusevirtualmachine(VM)clustersforprotectingresourcesfromfailurewith backupcapability.Cloud usertasks are scheduled by selecting suitable resourcesforexecuting the task in the VM cluster. Existing VM clustering processes suffer from issues likepreconfiguration,downtime,complexbackupprocess,anddisastermanagement.VMinfrastructureprovidesthehighavailabilityresourceswithdynamicandon-demandconfiguration. The proposed methodology supports VM clustering process to place and allocateVM on the basis of requesting task size with bandwidth level for enhancing the efficiency andavailability.Theproposedclusteringprocessisclassifiedaspreclusteringandpostclustering onthe basis of migration. Task and bandwidth classification process classifies tasks with adequatebandwidthforexecution