Traces, Metrics, and Logs for Anomaly Detection and Root Cause Localization in Microservices
Description
Here are the data used in our paper published at ICSE 2023:
"Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data".
Please make sure to cite our paper whenever you use the data in your research:
@inproceedings{DBLP:conf/icse/LeeYCSL23,
author = {Cheryl Lee and
Tianyi Yang and
Zhuangbin Chen and
Yuxin Su and
Michael R. Lyu},
title = {Eadro: An End-to-End Troubleshooting Framework for Microservices on
Multi-source Data},
booktitle = {45th {IEEE/ACM} International Conference on Software Engineering,
{ICSE} 2023, Melbourne, Australia, May 14-20, 2023},
pages = {1750--1762},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/ICSE48619.2023.00150},
doi = {10.1109/ICSE48619.2023.00150},
timestamp = {Wed, 19 Jul 2023 10:09:12 +0200},
biburl = {https://dblp.org/rec/conf/icse/LeeYCSL23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Files
SN Dataset.zip
Files
(127.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:4c523faf64770b1e9a709cdd610e07c4
|
78.8 MB | Preview Download |
|
md5:2d77861e4a025781e598d51866fd6f4e
|
48.9 MB | Preview Download |