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sunzihong716

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[交流] 哪位大神帮忙查一下amm 668-669上一篇水文的EI检索号? 已有1人参与

Paper: Live migration for virtual machine based on kalman prediction of dirty pages
谢了先~~~

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sunzihong716

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引用回帖:
4楼: Originally posted by Paulwolf at 2015-05-27 15:57:09

http://yunpan.cn/cwFyHPp5hbnMf  访问密码 00e4...

收到,谢谢!!
5楼2015-05-27 20:55:13
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Paulwolf

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小木虫: 金币+0.5, 给个红包,谢谢回帖
已检索:Accession 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.
2楼2015-05-27 15:21:38
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sunzihong716

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2楼: Originally posted by Paulwolf at 2015-05-27 15:21:38
已检索:Accession number:        

20150300430972
          Title:         Live migration for virtual machine based on Kalman prediction of dirty pages
          Authors:         Sun, Zhi Hong1 Email author sunzhihong716@126.com; ...

多谢!多谢!能否给个截图证明?评职称需要
3楼2015-05-27 15:50:37
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Paulwolf

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引用回帖:
3楼: Originally posted by sunzihong716 at 2015-05-27 15:50:37
多谢!多谢!能否给个截图证明?评职称需要...


http://yunpan.cn/cwFyHPp5hbnMf  访问密码 00e4
4楼2015-05-27 15:57:09
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