App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 6

Remaining useful life prediction method of Web system based on transmp model

Dang Weichao
Zhang Guangchang
College of Computer Science & Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0437

Abstract

Focused on the problem of current software remaining life prediction methods ignores the life information contained among multiple performance indicators, this paper proposed a remaining life prediction method of Web software system based on the Transformer model with multiple performance indicators (TransMP) . Firstly, construct an accelerated aging experimental platform for a memory fault type web system, and create a dataset containing performance indicators such as memory usage, response time, and throughput. Secondly, considering the differences in aging characteristic information contained in different performance indicators, construct the TransMP model consisting of multiple encoders-decoders. The performance indicator data is separately inputting into the memory indicator encoder, response time encoder, and throughput encoder to extract aging characteristic information, and then introducing a feature fusion layer for information fusion. Finally, the fused information is inputting into the decoder composed of a mask attention-multi-head attention structure to predict the remaining life when the system reaches an aging threshold. The experimental results indicate that the remaining life prediction method of the Web system, compared to the SALSTM method, reduces the root mean square error by 12.0%, 17.3% and 13.2%, and decreases the mean absolute error by 13.3%, 21.0% and 10.4%, demonstrating the effectiveness of this method.

Foundation Support

太原科技大学博士科研启动基金资助项目(20202063)
太原科技大学研究生联合培养示范基地项目(JD2022010)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0437
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 6

Publish History

[2023-12-19] Accepted Paper

Cite This Article

党伟超, 张桄菖. 基于TransMP模型的Web系统剩余寿命预测方法 [J]. 计算机应用研究, 2024, 41 (6). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0437. (Dang Weichao, Zhang Guangchang. Remaining useful life prediction method of Web system based on transmp model [J]. Application Research of Computers, 2024, 41 (6). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0437. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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