A Systematic Review of Energy Consumption and SLA Violation Conscious Adaptive Threshold based Virtual Machine Migration

The upsurge in request of computational power with rapid progress in the Cloud, Fog and edge-technologies has escalated the need of electrical vitality with expanded outflow of harmful gases like CO2.Dynamic integration of cloud technology, the relocation of hubs and hosts amid run-time and the increase in asset availability has increased the issue. To tackle this issue, there are numerous strategies and proposed models which trim down the energy exploitation, vitality consumption, service level agreement (SLA) infringement and restrict the count of virtual machines migration etc. In this paper, considering the need of the hour, algorithms sentient about the energy consumption and SLA violations in conjunction with minimum migration time policy are considered. A state-of-art-analysis of few proposed algorithm and changes done to the adaptive threshold based VM migration techniques is conducted. It is observed that on the basis of CPU utilization threshold value and migration parameters, the hosts and nodes to be migrated are determined. Few algorithms also considered RAM available with the hosts and network Bandwidth for enhanced performance and load stabilizing. In addition, a comparative analysis of the existing algorithms is demonstrated to elucidate the best fit algorithm based on energy consumed per migration and percentage SLA violation.