An Efficient Virtual Machine Migration Technique in Cloud Datacenter
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 2
Abstract
The gist of cloud computing come from the concept of virtualization. It is a way of materializing a number of guest OS on a single host server such that CPU and memory resources of the host machine are shared with the guest systems. The guest machines are technically called as virtual machines (VMs). Virtualization enables complete utilization of a physical machine in a cost-effective manner. However, varying and continuous load from users may overload a physical machine and can shepherd to serious participation on performance, reliability and other service-level-agreement (SLA) parameters. To deal with this issue, VM migrations are capable which enables the transfer of a virtual machine from an overloaded host to underloaded host, thereby reducing the workload of the source host. In a datacenter load balancing gives a chance to obtain a materially high fault-tolerance, a feature which is very urgent during live application executions in cloud environment. The current research and documents concern is the unwanted time consumption, power utilization, and energy consumption for virtual machine migration in data center. In this paper, we developed a virtual machine migration plan for minimizing total migration time and Energy consumption. In developed virtual machine migration plan, uses monitored technique the load on every host in the data center to decide whether or not to perform VM migration and then we established the criteria to deciding which VM to migrate. An additional host is use to pre-copying processed data and sent to destination host whether VM is migrate, which reduces the total migration time and energy VM migration in datacenter. VM Migration refers to a transparent transfer of an active guest or virtual machine from a source server to a selected destination server. This method will simulate on CloudSim tools in Netbean.
Authors and Affiliations
Navnit Kumar, Sachin Majithia
Keywords
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