New virtual machine placement approach based on the micro genetic algorithm in cloud computing

Abstract

Cloud computing has become an essential part of modern digital transformation. It is ideal for organizations that need a dedicated system that gives them full control not only over their data but also over the hardware. Especially those running many types of applications and complex workloads. However, cloud resource allocation faces serious problems in terms of energy consumption and resource wastage. One of the resource allocation trends that improve the performance of cloud services is the search for virtual machine placement. It requires an appropriate strategy for optimal virtual machines deployment. In this context, this paper proposes a meta-heuristic approach called improved micro Genetic algorithm (IµLG A) for the placement of virtual machines. We specifically designed IµG A to minimize both energy consumption and resource wastage. The results of the simulation revealed that IµGA gave better results compared to the other methods.