微服务系统故障注入异常检测实验数据集

微服务系统故障注入异常检测实验数据集是微服务系统Train-Ticket在容器环境下产生的硬件软件参数、读数高维指标数据集以及各微服务功能组件运行产生的日志文本数据集。将微服务系统部署到Kubernetes集群下后，在集群中部署Prometheus、Logstash开源监控框架，随后使用Jmeter、ChaosBlade进行仿真实验与故障注入实验，获取相应硬件、软件指标读数以及日志文本文件。

The experimental dataset for fault injection and anomaly detection in microservice systems is collected from the microservice system Train-Ticket deployed in a container environment, which includes high-dimensional metric datasets of hardware and software parameters and readings, as well as log text datasets generated by the operational processes of each microservice functional component. After deploying the microservice system on a Kubernetes cluster, we deployed the open-source monitoring frameworks Prometheus and Logstash within the cluster, then conducted simulation experiments and fault injection experiments using Jmeter and ChaosBlade, and obtained the corresponding hardware and software metric readings and log text files.

搜集汇总

背景与挑战

背景概述

该数据集是微服务系统Train-Ticket在容器环境下产生的实验数据，包括硬件软件参数、高维指标读数以及日志文本，通过Kubernetes集群部署并利用Prometheus、Logstash等工具监控，结合Jmeter和ChaosBlade进行故障注入实验生成。数据集大小为287.49MB，包含3个文件，发布于2023年，适用于微服务故障异常检测研究。