A threshold auto regressive model for software aging

Xiu E. Chen; Quan Quan; Yun Fei Jia; Kai Yuan Cai

doi:10.1109/SOSE.2006.5

A threshold auto regressive model for software aging

Xiu E. Chen^*
, Quan Quan
, Yun Fei Jia
, Kai Yuan Cai

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Long running software systems such as client-server type systems are known to experience a kind of aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To study and counteract the phenomenon of software aging, we collect and log data on several system resource usage and activity parameters of a web server. Based on the experimental results, we argue that software aging process could be divided into four stages: robust stage, transition stage, failure-probable stage and failure stage. A non-linear threshold autoregressive (TAR) model is then proposed to model and forecast the resource usage in these stages. In comparison with AR model, TAR model is more accurate.

Original language	English
Title of host publication	Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006
Pages	34-37
Number of pages	4
DOIs	https://doi.org/10.1109/SOSE.2006.5
State	Published - 2006
Event	2nd IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006 - Shanghai, China Duration: 25 Oct 2006 → 26 Oct 2006

Publication series

Name	Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006

Conference

Conference	2nd IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006
Country/Territory	China
City	Shanghai
Period	25/10/06 → 26/10/06

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10.1109/SOSE.2006.5

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Chen, X. E., Quan, Q., Jia, Y. F., & Cai, K. Y. (2006). A threshold auto regressive model for software aging. In Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006 (pp. 34-37). Article 4027115 (Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006). https://doi.org/10.1109/SOSE.2006.5

@inproceedings{147415af174043a4bea349d44c200219,

title = "A threshold auto regressive model for software aging",

abstract = "Long running software systems such as client-server type systems are known to experience a kind of aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To study and counteract the phenomenon of software aging, we collect and log data on several system resource usage and activity parameters of a web server. Based on the experimental results, we argue that software aging process could be divided into four stages: robust stage, transition stage, failure-probable stage and failure stage. A non-linear threshold autoregressive (TAR) model is then proposed to model and forecast the resource usage in these stages. In comparison with AR model, TAR model is more accurate.",

author = "Chen, \{Xiu E.\} and Quan Quan and Jia, \{Yun Fei\} and Cai, \{Kai Yuan\}",

year = "2006",

doi = "10.1109/SOSE.2006.5",

language = "英语",

isbn = "0769527264",

series = "Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006",

pages = "34--37",

booktitle = "Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006",

note = "2nd IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006 ; Conference date: 25-10-2006 Through 26-10-2006",

}

Chen, XE, Quan, Q, Jia, YF & Cai, KY 2006, A threshold auto regressive model for software aging. in Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006., 4027115, Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006, pp. 34-37, 2nd IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006, Shanghai, China, 25/10/06. https://doi.org/10.1109/SOSE.2006.5

A threshold auto regressive model for software aging. / Chen, Xiu E.; Quan, Quan; Jia, Yun Fei et al.
Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006. 2006. p. 34-37 4027115 (Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A threshold auto regressive model for software aging

AU - Chen, Xiu E.

AU - Quan, Quan

AU - Jia, Yun Fei

AU - Cai, Kai Yuan

PY - 2006

Y1 - 2006

N2 - Long running software systems such as client-server type systems are known to experience a kind of aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To study and counteract the phenomenon of software aging, we collect and log data on several system resource usage and activity parameters of a web server. Based on the experimental results, we argue that software aging process could be divided into four stages: robust stage, transition stage, failure-probable stage and failure stage. A non-linear threshold autoregressive (TAR) model is then proposed to model and forecast the resource usage in these stages. In comparison with AR model, TAR model is more accurate.

AB - Long running software systems such as client-server type systems are known to experience a kind of aging phenomenon called software aging, one in which the accumulation of errors during the execution of software leads to performance degradation and eventually results in failure. To study and counteract the phenomenon of software aging, we collect and log data on several system resource usage and activity parameters of a web server. Based on the experimental results, we argue that software aging process could be divided into four stages: robust stage, transition stage, failure-probable stage and failure stage. A non-linear threshold autoregressive (TAR) model is then proposed to model and forecast the resource usage in these stages. In comparison with AR model, TAR model is more accurate.

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DO - 10.1109/SOSE.2006.5

M3 - 会议稿件

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SN - 9780769527260

T3 - Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006

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BT - Proceedings - Second IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006

T2 - 2nd IEEE International Symposium on Service-Oriented System Engineering, SOSE 2006

Y2 - 25 October 2006 through 26 October 2006

ER -

A threshold auto regressive model for software aging

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