@inproceedings{937d29e8b5bd4169850ef1340fc5abc3,
title = "Optimizing virtual machine live migration without shared storage in hybrid clouds",
abstract = "Virtual machine live migration technology allows a running VM migrates from one physical host to another with no impact on users. As the scale of distributed computing gets larger and larger, hybrid cloud, which is integrated cloud service utilizing both private and public clouds to perform distinct functions within the same organization becomes a hotspot for both academia and industry. Thus, it will be vital to migrate virtual machines in hybrid clouds. The biggest issue which VM migrationinhybridcloudsfacestodayishowtotransferthelarge amount of storage data. Storage migration of virtual machine with existing mechanisms of memory migration has been studied for a long time. Unfortunately, no one can perform perfectly without modification. It is compelling to consider a newmigration model and optimization methods. In this paper, we analyze the advantage and disadvantage of classical methods, and put forward a method which combines the strengths of pre-copy and post-copy migration model and we also use disk working set to optimize virtual machines storage migration. We have developed and implemented our approach to the QEμKVM hypervisor and run a series of experiments. The presented technique shows a reduction of up 20.5\% on average of the total transfer time for most of the selected scenario. Our approach can also reduce the migration downtime in most cases.",
keywords = "Live migration, Storage, Virtual machine, Working set",
author = "Shan He and Chunming Hu and Bin Shi and Tianyu Wo and Bo Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016 ; Conference date: 12-12-2016 Through 14-12-2016",
year = "2017",
month = jan,
day = "20",
doi = "10.1109/HPCC-SmartCity-DSS.2016.0132",
language = "英语",
series = "Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "921--928",
editor = "Yang, \{Laurence T.\} and Jinjun Chen",
booktitle = "Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016",
address = "美国",
}