http://www.iaeme.com/IJMET/index.asp 23 editor@iaeme.com International Journal of Computer Engineering & Technology (IJCET) Volume 9, Issue 3, May-June 2018, pp. 23 31, Article ID: IJCET_09_03_003 – Available online at ttp://iaeme.com/Home/issue/IJCET?Volume=9&Issue=3 h Journal Impact Factor (2016): 9.3590(Calculated by GISI) www.jifactor.com ISSN Print: 0976-6367 and ISSN Online: 0976 6375 – © IAEME Publication A PREDICTION BASED MULTI- PHASES LIVE MIGRATION APPROACH TO MINIMIZE THE NUMBER OF TRANSFERRED PAGES, IN CLOUD COMPUTING ENVIRONMENT Damodar Tiwari Department of Computer Science & Engineering, Bansal Institute of Science and Technology, Bhopal, India Shailendra Singh Department of Computer Engineering Applications, National Institute of Technical Teachers Training and Research, Bhopal, India Sanjeev Sharma Department of SOIT, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India ABSTRACT: Cloud computing provides a cost-effective and dynamic scalable services to the user on the rent basic with the help of internet. These services can be used at anytime and anywhere in the world. Virtualization is the prime technology in the cloud which enables efficient resource management and isolation for various big data applications. As cloud provide services to the multiple user and cloud resources are share by the multiple user to increase the resource utilization. In order to increase the resource utilization provider creates the number of virtual machine into a single physical machine which may create a situation where some virtual machines are overloaded. In this case virtual machine is transferred to the other physical machine known as virtual machine migration. Several steps are involved in the migration process. These steps are source physical selection, virtual machine selection, target physical machine selection and selecting method for transferring the virtual machine data. Performance of the virtual machine is mainly depends on the method which is used to transfer the virtual machine data. Pre-copy, post-copy and stop and copy are the methods which are used for sending the data from one physic machine to another physical machine. This paper present an pre copy approach which minimize the total migration time and down time by minimizing the number of transferred pages. Main concept which is use to reduce the number of transferred pages is to avoid the pages which is highly modified. CloudSim simulator is use to implement our approach.