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Chaotic Analysis of Software Aging in Web Server
Shanghai, China October 25-October 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SOSE.2006.10Second IEEE International Symposium o ...
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Yun-Fei Jia, Xiu-E Chen, Kai-Yuan Cai, "Chaotic Analysis of Software Aging in Web Server," Service-Oriented System Engineering, IEEE International Workshop on, pp. 117-120, Second IEEE International Symposium on Service-Oriented System Engineering (SOSE'06), 2006.
 
 
BibTex
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@article{ 10.1109/SOSE.2006.10,
author = {Yun-Fei Jia and Xiu-E Chen and Kai-Yuan Cai},
title = {Chaotic Analysis of Software Aging in Web Server},
journal ={Service-Oriented System Engineering, IEEE International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2726-4},
pages = {117-120},
doi = {http://doi.ieeecomputersociety.org/10.1109/SOSE.2006.10},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Service-Oriented System Engineering, IEEE International Workshop on
TI - Chaotic Analysis of Software Aging in Web Server
SN - 0-7695-2726-4
SP117
EP120
A1 - Yun-Fei Jia,
A1 - Xiu-E Chen,
A1 - Kai-Yuan Cai,
PY - 2006
KW - null
VL - 0
JA - Service-Oriented System Engineering, IEEE International Workshop on
ER -
 
Yun-Fei Jia, Beijing University of Aeronautics and Astronautics, China
Xiu-E Chen, Beijing University of Aeronautics and Astronautics, China
Kai-Yuan Cai, Beijing University of Aeronautics and Astronautics, China
Recently, a kind of phenomenon known as software aging has been reported in many studies, characterized by progressive performance degradation or abrupt crash/hang. Software aging is directly related to resources usage. In this paper, we set up an experimental platform with multi-clients, collect data on system resource usage on web server and log data on performance on client. It is observed that there is performance degradation while the amount of available memory remains constant. Results show that there is significant correlation between response time and buffer. Finally, we calculate the largest Lyapunov exponent of time series of averageload, and results show that software aging process is chaotic.
Citation:
Yun-Fei Jia, Xiu-E Chen, Kai-Yuan Cai, "Chaotic Analysis of Software Aging in Web Server," sose, pp.117-120, Second IEEE International Symposium on Service-Oriented System Engineering (SOSE'06), 2006
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