Review and analysis of secure energy efficient resource optimization approaches for virtual machine migration in cloud computing
Harmeet Kaur, Abhineet Anand
Abstract
Computing operations such as databases, networks, hardware, programs, analytics, and so on are all part of the cloud computing service. As such, it may serve as an option to in-house hardware and software. However, dynamic consolidation of VMs is required to improve power consumption, load balance, the frequency of migrations, Quality of Service (QoS), and the rate at which SLA violations are addressed, all of which contribute to better resource use. VM technology has quickly become a pillar of data centers and cluster systems because to its utility in partitioning, consolidating, and moving workloads. VM placement is another thing that affects the quality of consolidation. It is important to design a system that improves energy efficiency by allocating resources to applications in a smart way while still meeting QoS requirements for applications. Moreover, the security of information that is being processed during the migration process is also one of the important tasks. Hence, in this paper, review and analysis based on parameters and metrics for the VM migration under the influence of energy optimization, consolidation, and security have been investigated in a wider manner. Moreover, some open issues that are still prevalent in the current field have also been highlighted.