Volume III Issue I January-March 2023

Name of Author : C. Senthilkumar, Dr. R. Kalaivani, A. Rajesh

Title of the paper : Energy Efficient Strategy for Request and Server Consolidation Schemes in Cloud Environment

Abstract: An important issue of energy efficiency in the cloud environment is to perform more jobs while consuming less amount of power. Virtual machine consolidation remains the most deployed strategy to manage both performance and energy consumption. Most existing energy efficiency techniques save energy against the cost of performance degradation. Consolidation techniques leverage thresholds to detect overloaded and under-loaded hosts that could be vacated to achieve the optimal balance between host utilization and energy consumption. In this research, we propose an energy-efficient strategy EES to consolidate virtual machines in the cloud environment with an aim of reducing energy consumption while completing more tasks with the highest throughput. Many power management strategies have been proposed for enterprise servers based on dynamic voltage and frequency scaling DVFS, but those solutions cannot further reduce the energy consumption of a server when the server processor is already at the lowest DVFS level and the server utilization is still low e.g., 10 percent or lower. To achieve improved energy efficiency, request batching can be conducted to group received requests into batches and put the processor into sleep between the batches. And it is challenging to perform request batching on a virtualized server because different virtual machines on the same server may have different workload intensities. Hence, putting the shared processor to sleep may severely impact the application performance of all the virtual machines.

Keywords : Energy efficiency; Data Center; Cloud Computing; virtual machine consolidation, Virtual Batching.

DOI :

Page No. : 8-13