A STUDY ON VIRTUAL MACHINE PLACEMENT ALGORITHMS IN CLOUD DATA CENTER

Abstract

A large number of data centres have appeared all over the world as a result of the expansion of cloud computing. Instead of owning resources, cloud computing allows users to consume and access resources from the server room as needed. Because of the large number, power-hungry data centers grows at an alarming rate, power administration has emerged as a critical architectural constraint in cloud data centres. A VM consolidation strategy that distributes as many simulated machines (VMs) as possible across as few servers as possible can reduce the amount of electricity used in cloud data centres. However, unnecessary migrations can lead to service outages, performance degradation, and SLA violations. The VM placement's goal challenge is to reduce the overall number of migrations in the system and place idle servers to sleep. This study aims to examine how well VM placement algorithms function in cloud data centres.