標題: Exploiting Neigborhood Similarity for Virtual Machine Migration over Wide-Area Network
作者: Lai, Hsu-Fang
Wu, Yu-Sung
Cheng, Yu-Jui
資訊工程學系
Department of Computer Science
關鍵字: Live migration;Storage de-duplication;Wide-area network;Virtualization;Datacenter
公開日期: 2013
摘要: Conventional virtual machine (VM) migration focuses on transferring a VM's memory and CPU states across host machines. The VM's disk image has to remain accessible to both the source and destination host machines through shared storage during the migration. As a result, conventional virtual machine migration is limited to host machines on the same local area network (LAN) since sharing storage across wide-area network (WAN) is inefficient. As datacenters are being constructed around the globe, we envision the need for VM migration across datacenter boundaries. We thus propose a system aiming to achieve efficient VM migration over wide area network. The system exploits similarity in the storage data of neighboring VMs by first indexing the VM storage images and then using the index to locate storage data blocks from neighboring VMs, as opposed to pulling all data from the remote source VM across WAN. The experiment result shows that the system can achieve an average 66% reduction in the amount of data transmission and an average 59% reduction in the total migration time.
URI: http://hdl.handle.net/11536/23082
http://dx.doi.org/10.1109/SERE.2013.21
ISBN: 978-0-7695-5021-3
DOI: 10.1109/SERE.2013.21
期刊: 2013 IEEE 7TH INTERNATIONAL CONFERENCE ON SOFTWARE SECURITY AND RELIABILITY (SERE)
起始頁: 149
結束頁: 158
顯示於類別:會議論文


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