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Graph-based root cause analysis for service-oriented and microservice architectures

  • Published:2020-01 Issue: Volume:159 Page:110432
  • ISSN:0164-1212
  • Container-title:Journal of Systems and Software
  • language:en
  • Short-container-title:Journal of Systems and Software

Author:

Brandón ÁlvaroORCID,Solé Marc,Huélamo AlbertoORCID,Solans David,Pérez María S.,Muntés-Mulero Victor

Funder

European Commission

Spanish Ministry of Economy

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference59 articles.

1. Mining connection pathways for marked nodes in large graphs;Akoglu,2013

2. Graph based anomaly detection and description: a survey;Akoglu;Data Min. Knowl. Discov.,2015

3. Aubet, F.-X., Pahl, M.-O., Liebald, S., Norouzian, M. R.,. Graph-based anomaly detection for IOT microservices. Measurements 120(140), 160.

4. Microservices architecture enables devops: migration to a cloud-native architecture;Balalaie;IEEE Softw.,2016

5. The serverless trilemma: function composition for serverless computing;Baldini,2017

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1. KGroot: A knowledge graph-enhanced method for root cause analysis;Expert Systems with Applications;2024-12

2. MicroIRC: Instance-level Root Cause Localization for Microservice Systems;Journal of Systems and Software;2024-10

3. MicroNet: Operation Aware Root Cause Identification of Microservice System Anomalies;IEEE Transactions on Network and Service Management;2024-08

4. BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection;Proceedings of the ACM on Software Engineering;2024-07-12

5. Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10
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