Energy Consumption Analysis of Various Dynamic Virtual Machine Consolidation Techniques in Cloud Data Center
Suraj Singh Panwar, M. M. S. Rauthan, Varun Barthwal · 2022
Data centers in the cloud computing industry need tremendous energy to keep up with the rising demand for cloud resources. The two primary subsystems that make up a data center's energy usage are computing and cooling. The approach known as Dynamic Virtual Machine Consolidation (DVMC) is frequently used to lower the energy use of computer systems. Dynamic consolidation of virtual machines manages the data center in terms of energy consumption and quality of services. Energy consumption, active and overloaded Physical Machines (PMs), and VM migration counts are the key parameters to assess the performance of various VM consolidation algorithms. In this article, we have conducted simulation-based experiments and collected the energy consumption, active and overloaded hosts, and VM migration counts in each time interval of simulation duration. We plotted the results, and a comparative study was conducted to analyse the outcomes of different consolidation algorithms in terms of energy consumption and service quality. Our main goal is to figure out how the performance of the algorithm can be enhanced.