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Workflow-Aware Automatic Fault Diagnosis for Microservice-Based Applications With Statistics

  • Published:2020-12 Issue:4 Volume:17 Page:2350-2363
  • ISSN:1932-4537
  • Container-title:IEEE Transactions on Network and Service Management
  • language:
  • Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Wang TaoORCID,Zhang Wenbo,Xu Jiwei,Gu Zeyu

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Youth Innovation Promotion Association of Chinese Academy of Sciences Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

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1. Fault Diagnosis for Test Alarms in Microservices through Multi-source Data;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

2. Detecting Cloud Anomaly via Broad Network-Based Contrastive Autoencoder;IEEE Transactions on Network and Service Management;2024-06

3. SampleHST-X: A Point and Collective Anomaly-Aware Trace Sampling Pipeline with Approximate Half Space Trees;Journal of Network and Systems Management;2024-04-16

4. Anomaly detection in smart grid using a trace-based graph deep learning model;Electrical Engineering;2024-03-22

5. ServiceAnomaly: An anomaly detection approach in microservices using distributed traces and profiling metrics;Journal of Systems and Software;2024-03
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