lizeyan / train-ticket

Train Ticket - A Benchmark Microservice System

Train Ticket：A Benchmark Microservice System

This repo contains the source code, forked from https://github.com/fudanselab/train-ticket, and the deployment and data collection scripts used for our FSE'22 paper.

We deployed train-ticket on a five-node cluster. The nodes were named as lzy-k8s-1.cluster.peidan.me, lzy-k8s-2.cluster.peidan.me, etc. We built the images of micro-services ourselves and pushed them to a private registry (docker.peidan.me). We used crontab to periodically run fault injection tasks and collect data automatically.

File Description

Path	Description
chaos	Fault injection scripts
deployment/kubernetes-manifests/k8s-with-jaeger	The deployment scripts we used
deployment/*	Not used. The same as upstream repo.
FDG_data_collection/	Data collection scripts
conduct_one_exp_and_collect_metrics.py	The runnable script conducts a fault injection task and collects the corresponding metrics
ts-*	The micro-services' source code
workload/	Load generator scripts
restart.sh	A runnable script to delete and redeploy train-ticket
crontab.conf	Crontab configuration to periodically run fault injection tasks

Citation

@inproceedings{li2022actionable,
  title = {Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems},
  booktitle = {Proceedings of the 2022 30th {{ACM Joint Meeting}} on {{European Software Engineering Conference}} and {{Symposium}} on the {{Foundations}} of {{Software Engineering}}},
  author = {Li, Zeyan and Zhao, Nengwen and Li, Mingjie and Lu, Xianglin and Wang, Lixin and Chang, Dongdong and Nie, Xiaohui and Cao, Li and Zhang, Wenchi and Sui, Kaixin and Wang, Yanhua and Du, Xu and Duan, Guoqing and Pei, Dan},
  year = {2022},
  month = nov,
  series = {{{ESEC}}/{{FSE}} 2022}
}