LO2: Microservice API Anomaly Dataset of Logs and Metrics
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
PROMISE '25: Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering
ISBN (electronic)
979-8-4007-1594-5
Name of conference
International Conference on Predictive Models and Data Analytics in Software Engineering
Publisher
ACM
Publication forum ID
5098
Publication forum level
1
Country of publication
United States
Internationality
Yes
Detailed publication information
Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Page numbers
1-10
DOI
10.1145/3727582.3728682
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Microservice Systems; Anomaly Detection; OAuth2.0; Logs; Traces; Metrics; Multi-modal Fusion Methods; Dataset
Funding information
Funding information in the publication
This work has been funded by the Research Council of Finland (grants n. 359861 and 349488 - MuFAno) and Business Finland (grant 6GSoft).
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Funder
Business Finland
Name of funding
-
Funding decision
-
Source database ID
WoS ID
WOS:001543698200001
Scopus ID
2-s2.0-105012243312