Performance modeling on the basis of application type in virtualized environments
文献类型：期刊论文
| 作者 | Meng, Fanxin (1) ; Du, Guangyu (2) ; He, Hong (2) ; Yuan, Shengzhong (2) |
| 刊名 | Journal of Software
 |
| 出版日期 | 2013 |
| 卷号 | 8期号:11页码:2847-2854 |
| ISSN号 | 1796217X |
| 通讯作者 | He, H.(hehong@sdu.edu.cn) |
| 中文摘要 | Virtualization technology plays an essential role in resource in modern large data centers while it also causes interference among virtual machines which co-located in common physical machine contending for the shared physical resources. In this paper, we study the performance prediction models in virtualized environment. Unclassified model developed from all types of applications is quite inaccuracy to predict performance of test applications as it is too general. We respectively develop models for each type of applications classified by the resources that they use. See5/C5 technology is used to determine the type of test application before executing its corresponding performance prediction model and linear regression technique is adopt to develop performance prediction models. Finally, comparing classified models with the unclassified one, the former get 0.038 average prediction errors for test applications while unclassified model arrives 0.609 average prediction errors. © 2013 ACADEMY PUBLISHER. |
| 英文摘要 | Virtualization technology plays an essential role in resource in modern large data centers while it also causes interference among virtual machines which co-located in common physical machine contending for the shared physical resources. In this paper, we study the performance prediction models in virtualized environment. Unclassified model developed from all types of applications is quite inaccuracy to predict performance of test applications as it is too general. We respectively develop models for each type of applications classified by the resources that they use. See5/C5 technology is used to determine the type of test application before executing its corresponding performance prediction model and linear regression technique is adopt to develop performance prediction models. Finally, comparing classified models with the unclassified one, the former get 0.038 average prediction errors for test applications while unclassified model arrives 0.609 average prediction errors. © 2013 ACADEMY PUBLISHER. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17047]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Meng, Fanxin ,Du, Guangyu ,He, Hong ,et al. Performance modeling on the basis of application type in virtualized environments[J]. Journal of Software,2013,8(11):2847-2854. |
| APA | Meng, Fanxin ,Du, Guangyu ,He, Hong ,&Yuan, Shengzhong .(2013).Performance modeling on the basis of application type in virtualized environments.Journal of Software,8(11),2847-2854. |
| MLA | Meng, Fanxin ,et al."Performance modeling on the basis of application type in virtualized environments".Journal of Software 8.11(2013):2847-2854. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。