An Investigation of Consolidating Virtual Servers and Data Centers based on Energy Consumptions using various Algorithms

With sophisticated technologies in wireless communication and cloud environments, virtual machine data centers and their applications are exponentially increasing. Energy consumption and impact on environmental factors play a significant role in the design and implementation of cloud platforms. Virtualization is a mode of operation in a cloud to simplify and reduce the workload of data centers through optimized resource utilization and energy bandwidth utilization. Cloud technologies facilitate the virtualization model by migrating content from physical data centers to virtual data centers with a trivial suspension of services. Multiple virtual machines can be hosted on a physical machine space, reducing the actual energy consumption of physical devices. The process is termed to be server consolidation for conserving the energy demand. Server consolidation can be achieved through renowned techniques, accommodating various parameters and conditions. The purpose of consolidations is to eliminate the dependency on hardware underlying the overall architecture. The available migration techniques are categorized into manner, distance, and granularity aspects for a better understanding. Non-Live migration techniques are listed briefly for comparison against a detailed perspective of live migration techniques. User mobility is a significant parameter for fog computing in VM migrations during cloud architecture deployment. Algorithmic approaches are listed in detail, predominantly used in server consolidation. The open challenges and other considerable issues are expressed in this survey article.