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Root Cause Analysis
DDS 第一手消息(一)
我们实验室最近在 ASE2022,ISSRE2022, ICSOC2022, ICWS2022 等会议上都有斩获,本文绝对是全网第一手消息。下面简单的介绍一下我们的工作,有兴趣的同学可以下载预览版的论文详细看看。
Guangba Yu
Sep 9, 2022
1 min read
Weekly Paper
基于 Metrics 的根因定位 (二):因果关系图
Metrics, Traces, Logs 被誉为可观测性的三大支柱。Metrics 又是三者中在根因定位中最常用的数据源,阅读本文可快速了解当前学术界热门的基于 Metric 的根因定位算法类型——因果关系图
Guangba Yu
Sep 4, 2022
1 min read
Weekly Paper
基于 Metrics 的根因定位 (一):故障刻画
Metrics, Traces, Logs 被誉为可观测性的三大支柱。Metrics 又是三者中在根因定位中最常用的数据源,阅读本文可快速了解当前学术界热门的基于 Metric 的根因定位算法类型——故障刻画
Guangba Yu
Sep 3, 2022
1 min read
Weekly Paper
Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems
This paper proposes a novel system, named GIED, which is a method to automatically analyze the cascading effect of availability issues in online systems. GIED enables the extraction of graph-based issue representations. This representation includes both the issue symptoms and affected service attributes. A neural network is used to perform incident detection. Finally, the PageRank algorithm is used to locate the root cause of the incident.
Zilong He
,
Pengfei Chen
,
Yu Luo
,
Qiuyu Yan
,
Hongyang Chen
,
Guangba Yu
,
Fangyuan Li
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