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Title:
Performance modeling on the basis of application type in virtualized environments
Author: Meng, Fanxin (1) ; Du, Guangyu (2) ; He, Hong (2) ; Yuan, Shengzhong (2)
Corresponding Author: He, H.(hehong@sdu.edu.cn)
Source: Journal of Software
Issued Date: 2013
Volume: 8, Issue:11, Pages:2847-2854
Indexed Type: EI
Department: (1) School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, Weihai, 264209, China; (2) Institute of Software of Chinese Academy of Sciences, Beijing. 100000, China
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/17047
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Meng, Fanxin ,Du, Guangyu ,He, Hong ,et al. Performance modeling on the basis of application type in virtualized environments[J]. Journal of Software,2013-01-01,8(11):2847-2854.
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