Abstract: Now a days the very inspired and the famous technology in computing is the cloud computing technology. One of the main area is the server consolidation in cloud computing. This is an area in which researchers rarely touched. Residual resource defragmentation is the method of decreasing fragmentation of resources which is residuals. The remaining resources will be less useful or useless. This is an obstacle in resource fragmentation. This leads to the datacenter provider by high expenditure. In each consolidation level the residual resource fragmentation reduced. Thus the dynamic resource provisioning reduced its migrations. In this research, it proposes a resource provisioning dynamically and allocation technique. The proposed method concludes by 3 phases. Firstly, by using optimization algorithm, physical servers which are active are selected. This includes, binary Cuckoo search algorithm to select the optimal server. The fitness to select the optimal server is memory and cost. Next step is that the calculation of the optimal server’s maximum utilization of resources. The resources are categorized based on the type. Next is the allocation of these resources to the appropriate physical servers or virtual servers. Thus the data defragmentation in data centers is reduced. Finally, ECRC (Enhanced Cloud Resource Consolidating) assists in the scheduling and allocation of the identified resources. The implementation research for this will be done using java in cloudsim.