中国 中山大学（Sun Yat-sen）の[[AIOps]]研究室 - Site: [DDS Lab](http://www.dds-sysu.tech/) - Professor: [[Pengfei Chen]] - GitHub: [IntelligentDDS · GitHub](https://github.com/IntelligentDDS) - [https://cse.sysu.edu.cn/content/3747](https://cse.sysu.edu.cn/content/3747) - [Welcome to Guangba's HomePage](https://yuxiaoba.github.io/) ## サーベイ [GitHub - IntelligentDDS/awesome-papers: Awesome-papers is a collection of awesome papers about cloud computing including resource management, serverless, microservice, observerbility and so on.](https://github.com/IntelligentDDS/awesome-papers) ## Papers - [[2024__DSN__Real-Time Intrusion Detection and Prevention with Neural Network in Kernel using eBPF]] - [[2024__Internetware__CTuner - Automatic NoSQL Database Tuning with Causal Reinforcement Learning]] - [[2024__CLOUD__TraceMesh - Scalable and Streaming Sampling for Distributed Traces]] - [[2024__ESEC-FSE__TraStrainer - Adaptive Sampling for Distributed Traces with System Runtime State]] - [[2024__FSE__ChangeRCA - Finding Root Causes from Software Changes in Large Online Systems]] - [[2024__TDSC__MicroFI - Non-Intrusive and Prioritized Request-Level Fault Injection for Microservice Applications]] - [[2023__ESEC-FSE__DiagConfig - Configuration Diagnosis of Performance Violations in Configurable Software Systems]] - [[2023__ESEC-FSE__Nezha - Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data]] - [[2023__arXiv__Nahida - In-Band Distributed Tracing with eBPF]] - [[2023__ICSQ__Online Data Drift Detection for Anomaly Detection Services based on Deep Learning towards Multivariate Time Series]] - [[2021__Journal-of-Software__TraceRank - Abnormal service localization with dis-aggregated end-to-end tracing data in cloud native systems]] - [[2022__ISSRE__Going through the Life Cycle of Faults in Clouds - Guidelines on Fault Handling]] - [[2022__ICSOC__MicroSketch - Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems]] - [[2022__ICWS__TS-InvarNet - Anomaly Detection and Localization based on Tempo-spatial KPI Invariants in Distributed Services]] - [[2021__WWW__MicroRank―End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments]] - [[2021__Journal-of-Software__TraceRank - Abnormal service localization with dis-aggregated end-to-end tracing data in cloud native systems]] - [[2022__ICSOC__MicroSketch - Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems]] - [[2022__ISSRE__Share or Not Share? Towards the Practicability of Deep Models for Unsupervised Anomaly Detection in Modern Online Systems]] - [[2021__WWW__MicroRank―End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments]] - [[2021__CloudIntelligence__Kmon - An In-kernel Transparent Monitoring System for Microservice Systems with eBPF]] - [[2021__ICWS__Sieve - Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems]] - [[2020__ISSRE__SwissLog―Robust Anomaly Detection and Localization for Interleaved Unstructured Log]] - [[2020__ TNNLS__A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems]] - [[2019__ICWS__Microscaler - Automatic scaling for microservices with an online learning approach]] - [[2018__Middleware__Sieve Actionable Insights from Monitored Metrics]]