Volume 8 Number 11 (Nov. 2013)
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JSW 2013 Vol.8(11): 2847-2854 ISSN: 1796-217X
doi: 10.4304/jsw.8.11.2847-2854

Performance Modeling on the Basis of Application Type in Virtualized Environments

Fanxin Meng1, Guangyu Du1, Hong He1, 2, Shengzhong Yuan1
1School of Mechanical, Electrical and Information Engineering Shandong University, Weihai. Weihai, 264209, P.R. China.
2Institute of Software of Chinese Academy of Sciences, Beijing. 100000, P.R. 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.

Index Terms—Performance modeling, performance prediction, interference, virtualization, Liner regression.


Cite: Fanxin Meng, Guangyu Du, Hong He, Shengzhong Yuan,"Performance Modeling on the Basis of Application Type in Virtualized Environments," Journal of Software vol. 8, no. 11, pp. 2847-2854, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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