HARMONY, a Heterogeneity-Aware Resource Management System for dynamic capacity provisioning in cloud computing environments. K-means clustering algorithm to divide the workload into distinct task classes with similar characteristics in terms of resource and performance requirements. The DCP as an optimization problem that considers machine and workload heterogeneity. It More flexible and can provide highly efficient solution for DCP for arbitrary workload compositions. The heterogenous characteristics will lead to both sub-optimal energy-savings and long scheduling delays, due to incompatibility between workload requirements and the resources offered by the provisioned machines. A novel technique for dynamically adjusting the number of machines of each type to minimize total energy consumption and performance penalty in terms of scheduling delay. These results suggests that more efficient provisioning and scheduling methods are needed to reduce the scheduling delay for these difficult−to−schedule tasks.