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20242026
most citedA Survey on Failure Analysis and Fault Injection in AI Systems

3 citations · 3 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

Cloud-OpsBench: A Reproducible Benchmark for Agentic Root Cause Analysis in Cloud Systems

Yilun Wang, Guangba Yu, Haiyu Huang +4

LLM agents are increasingly explored for automating root cause analysis (RCA) in cloud-native systems, creating a need to evaluate both diagnostic correctness and the quality of th…

cs.SE2025

DaiFu: In-Situ Crash Recovery for Deep Learning Systems

Zilong He, Pengfei Chen, Hongyu Zhang +4

Deep learning (DL) systems have been widely adopted in many areas, and are becoming even more popular with the emergence of large language models. However, due to the complex softw…

cs.SE2024

FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications

Jin Huang, Pengfei Chen, Guangba Yu +3

Serverless becomes popular as a novel computing paradigms for cloud native services. However, the complexity and dynamic nature of serverless applications present significant chall…

cs.SE2024

Mint: Cost-Efficient Tracing with All Requests Collection via Commonality and Variability Analysis

Haiyu Huang, Cheng Chen, Kunyi Chen +6

Distributed traces contain valuable information but are often massive in volume, posing a core challenge in tracing framework design: balancing the tradeoff between preserving esse…

cs.SE2024★ 3 cited

A Survey on Failure Analysis and Fault Injection in AI Systems

Guangba Yu, Gou Tan, Haojia Huang +4

The rapid advancement of Artificial Intelligence (AI) has led to its integration into various areas, especially with Large Language Models (LLMs) significantly enhancing capabiliti…