Abstract
In this paper we discuss a hybrid approach of live VM migration that evaluates the hosts across the LAN. Here the best of both Pre and post copy methods are to be evaluated using the hybrid approach. Later the pre copy approach used, spawn the VM on destination host after that CPU state and memory is transferred and after transferring processor state the opposite work has to be done. In our approach we used checkpoint mechanism for recovery of page faults occurs over the network while transferring the data over the VM. We propose a method that uses hybrid approach of live VM migration with addition a new data recovery mechanism. This recovery mechanism utilizes checkpoint and also in this the load balancing on individual machine has been done. In results 20% to 30% improvement has been seen and also it is better implementation over pre and post copy mechanism.
Highlights
With the advent of virtualization, it gives an advantage to companies about computing and storage infrastructure over the cloud
PRE COPY [15], [16]In pre copy approach the transfer from memory to the destination are to be done first and limit the iteration reaches
In the checkpoint mechanism all the previous logs are removed from the system and stored in storage disk permanently
Summary
With the advent of virtualization, it gives an advantage to companies about computing and storage infrastructure over the cloud. The live migration technology is impressive for load balancing and optimizing VM deployment in a data center across physical nodes.[1] The VM is useful following ways: 1. In this paper we describe about the hybrid approach to live migration of virtual machines that will introduces recovery mechanism during the migration process and balances load various VM machines.[2] In recent years, the growth of IT infrastructure has triggered the demand for computational power and has led to the creation of huge data centers and has increased the energy demand. This section describes the techniques used to achieve energy efficiency by reducing load using computational offloading mechanism. [12] Proposes duty cycling mechanism to achieve energy efficiency in scheduling of resources in wireless sensor network. Results show better scheduling as compared to other scheduling mechanisms. [14] section describes the detail proposed methodology which enhance Green computing by lowering the CO2 level and reduces energy consumption
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Computer Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
