An Approach to Virtual Machine Placement Problem in a Datacenter Environment Based On Overloaded Resource?

The arrival of the clouds has introduced very strict initiative over the physical resources. A typical resource management system receives queues and finally matches user job requirements with the characteristics of the offered hardware. Server overload is the basis of resource insufficiency and spoils the performance of applications which leads to affect the QoS. 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. 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.