Lively Precedence and Overloaded Resource Based Approach to Virtual Machine Assignment Problem in a Datacenter Environment

The number of cloud users has been growing everyday and it seems that scheduling of virtual machines in the cloud becomes an important problem to analyze. Lively consolidation of Virtual Machines is an efficient way to get better use of resources and power efficiency in Cloud data centers. Identifying when it is best to move VMs from a congested host is an aspect of Lively VM consolidation that directly influences the resource consumption and Quality of Service (QoS) delivered by the system. Server overloads is the basis of resource insufficiency and spoils the performance of applications which leads to affect the QoS. This paper focus on the importance of the detection of server overload and compares the various scheduling algorithms currently used for scheduling virtual machines and also proposes the design methodology of a new algorithm that helps to improve the resource utilization and at the same time energy efficiency.