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Paper: Live migration for virtual machine based on kalman prediction of dirty pages лÁËÏÈ¡«¡«¡« [ ·¢×ÔÊÖ»ú°æ http://muchong.com/3g ] |
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ÒѼìË÷£ºAccession number: 20150300430972 Title: Live migration for virtual machine based on Kalman prediction of dirty pages Authors: Sun, Zhi Hong1 Email author sunzhihong716@126.com; Hu, Xian Lang1 Email author sya88070887@163.com Author affiliation: 1 Jiangsu Automation Research Institute, Lianyungang, China Corresponding author: Sun, Zhi Hong Source title: Applied Mechanics and Materials Abbreviated source title: Appl. Mech. Mater. Volume: 668-669 Issue date: 2014 Publication year: 2014 Pages: 1363-1367 Language: English ISSN: 16609336 E-ISSN: 16627482 ISBN-13: 9783038353126 Document type: Conference article (CA) Conference name: 3rd Asian Pacific Conference on Mechanical Components and Control Engineering, ICMCCE 2014 Conference date: September 20, 2014 - September 21, 2014 Conference location: Zhuhai, China Conference code: 108649 Sponsor: Nankai University Publisher: Trans Tech Publications Ltd Abstract: The live migration of virtual machine (VM) is an important technology of cloud computing. Down-time, total migration time and network traffic data are the key measures of performance. Through the analysis of dynamic memory state of a virtual machine migration process, we propose a dirty pages algorithm prediction based on pre-copy to avoid dirty pages re transmission. Experimental results show that, compared with the Xen virtual machine live migration method adopted, our method can at least reduce 15.1% of the total amount of data and 12.2% of the total migration time. © (2014) Trans Tech Publications, Switzerland. Number of references: 6 Main heading: Forecasting Controlled terms: Mechanics Uncontrolled terms: Dirty pages - Kalman prediction - Live migrations - Measures of performance - Prediction-based - Total migration time - Virtual machine migrations - Virtual machines Classification code: 921 Mathematics - 931.1 Mechanics DOI: 10.4028/www.scientific.net/AMM.668-669.1363 Database: Compendex Compilation and indexing terms, © 2015 Elsevier Inc. |
2Â¥2015-05-27 15:21:38
sunzihong716
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3Â¥2015-05-27 15:50:37
sunzihong716
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5Â¥2015-05-27 20:55:13













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