Performance Anomaly Detection in Web Services: an RNN-based Approach Using Dynamic Quality of Service Features-Reference-Cited by-同舟云学术

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Performance Anomaly Detection in Web Services: an RNN-based Approach Using Dynamic Quality of Service Features

Published:2020 Issue:2 Volume:64 Page:729-752
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Hasnain Muhammad,Ryul Jeong Seung,Fermi Pasha Muhammad,Ghani Imran

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices;Journal of Cloud Computing;2024-05-15

2. Towards safe and robust weakly-supervised anomaly detection under subpopulation shift;Knowledge-Based Systems;2022-08

3. Aerobics Action Recognition Algorithm Based on Three-Dimensional Convolutional Neural Network and Multilabel Classification;Scientific Programming;2021-07-03

4. Simulated dataset collection method of dynamic quality of services (QoS) metrics;International Journal of Information Technology;2021-03-31

5. SRI-XDFM: A Service Reliability Inference Method Based on Deep Neural Network;Intelligent Automation & Soft Computing;2020

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