A CASE STUDY ON MULTI-DIMENSIONAL SCHEDULING ALGORITHM FOR CLOUD DATA CENTERS

Abstract

In distributed environments load balancing is essential for efficient operations. The reliability and efficiency of resources in data centers are greatly enhanced by load balancing solutions. Allocating and moving reconfigurable virtual machines (VMs) while taking into account integrated characteristics of Physical machine (PM) hosting is one of the difficult resource scheduling issues in cloud data centres. As a result, load balancing has grown to be a significant research subject due to its difficulties and significance for the cloud. Numerous algorithms were put out as effective ways to manage the client's requests to the available Cloud nodes. In this research, we study the various multi-dimensional resource scheduling techniques employed in cloud computing to schedule various tasks and balance load.