Energy- and Resource-Efficient VM Consolidation Based on Sailfish Optimization Model for Fog and Cloud Infrastructure

FOG and Cloud computing has established itself as an important component of the computational domain, providing a wide range of server proficiencies as virtualized scalable services. Cloud datacenters utilize VM consolidation to consolidate VMs to a smaller number of physical servers in order to enhance resource utilization and energy efficiency. Incorrect VM placement, on the other hand, might result in frequent VM migrations and continual on-off switching on physical machines (PMs), lowering service quality and increasing energy usage. To address this issue, we present a VM consolidation strategy based on Sailfish Optimization that is both effective and efficient. The performance evaluation of the proposed method observed a significant reduction in power consumption, SLA violation and execution time up to 25%, 22% and 6%, respectively, and increased resource utilization up to 17% as compared to existing models.