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IJERTV10IS040005
Effective Approaches for Preserving Energy Consumption in Cloud Computing
Sonya A , Kavitha. G
Cloud Computing offers a dynamic provisioning of worker abilities as an adaptable virtualized administration. Cloud hosting data centers consume a great amount of energy that results in high operational costs. The count of physical machines can be minimized by consolidating heterogeneous workloads by using the proposed algorithms are Workload-aware Consolidation Technique (ESWCT) and the Energy-aware Live Migration algorithm using Workload-aware Consolidation Technique (ELMWCT) and then idle servers are switched off to reduce energy consumption. The execution time for each migrating VM and other physical servers for migrating VM placement has been considered. The resources are utilized effectively and the energy consumed is reduced efficiently. Thus, the performance of the system is improved. Additionally recognize the exhibitions measurements that are expected to assess the proposed work execution.
