Recovering Host Overloading in Cloud using Virtual Machines

Abstract

provides an efficient solution to the objectives of the cloud computing paradigm by facilitating creation of Virtual Machines (VMs) over the underlying physical servers, leading to improved resource utilization and intellection. Virtualization proposes to create a virtual version of a device or a resource likely to virtualize a server, a storage space, operating system or even network where the mechanism divides the resource into one or more execution environments. To analyze the behavior of a Cloud data center by means of various aspects like availability, utilization, responsiveness and waiting time. The factors that a cloud provider must take into account are elasticity, scalability, live migration of VMs and performance isolation. Live migration of VMs, the process of dynamically transferring a virtual machine across different servers, hasproved to represent a new opportunity to enable responsive and dynamic proved torepresent a new opportunity toenable responsive and dynamic resource management in modern data centers. Migrations of VMs is performed on the basis of overloading that occurs in physical servers in cloud data centers, whichleads to relatively less performance degradation. The SLA violation is also less compared to other techniques and this means the cloud provider will incur less cost from VM migrations. Further, MHOD algorithm performs host selection and VM reallocation quicker than the existing algorithms. Maintenance of physical servers can be efficiently achieved through our algorithm as it leads to efficient consolidation of VMs.