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Runtime Quality Prediction for Web Services via Multivariate Long Short-Term Memory
Joint Authors
Guo, Ling
Wan, Ping
Li, Rui
Liu, Gang
He, Pan
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-21
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Online quality prediction helps to identify the web service quality degradation in the near future.
While historical web service usage data are used for online prediction in preventive maintenance, the similarities in the usage data from multiple users invoking the same web service are ignored.
To improve the service quality prediction accuracy, a multivariate time series model is built considering multiple user invocation processes.
After analysing the cross-correlation and similarity of the historical web service quality data from different users, the time series model is estimated using the multivariate LSTM network and used to predict the quality data for the next few time series points.
Experiments were conducted to compare the multivariate methods with the univariate methods.
The results showed that the multivariate LSTM model outperformed the univariate models in both MAE and RMSE and achieved the best performance in most test cases, which proved the efficiency of our method.
American Psychological Association (APA)
Guo, Ling& Wan, Ping& Li, Rui& Liu, Gang& He, Pan. 2019. Runtime Quality Prediction for Web Services via Multivariate Long Short-Term Memory. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194674
Modern Language Association (MLA)
Guo, Ling…[et al.]. Runtime Quality Prediction for Web Services via Multivariate Long Short-Term Memory. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1194674
American Medical Association (AMA)
Guo, Ling& Wan, Ping& Li, Rui& Liu, Gang& He, Pan. Runtime Quality Prediction for Web Services via Multivariate Long Short-Term Memory. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194674
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194674