[[Distributed Tracing]]において、[[99.99% of Your Traces are (Probably) Trash - SREcon24 Americas]]で提示されたデータボリュームの課題を解決するための論文リスト。 - UniSage: [[2025__arXiv__UniSage - A Unified and Post-Analysis-Aware Sampling for Microservices]] - Tracezip: [[2025__ISSTA__Tracezip - Efficient Distributed Tracing via Trace Compression]] - [[2024__arXiv__Tracing Optimization for Performance Modeling and Regression Detection]] - Astraea: [[2024__IC2E__Unleashing Performance Insights with Online Probabilistic Tracing]] - Mint: [[2025__ASPLOS__Mint - Cost-Efficient Tracing with All Requests Collection via Commonality and Variability Analysis]] - [[2024__TSE__iTCRL - Causal-intervention-based Trace Contrastive Representation Learning for Microservice Systems]] - [[2024__Thesis__Performance Overhead Of OpenTelemetry Sampling Methods In A Cloud Infrastructure]] - [[2024__CLOUD__TraceMesh - Scalable and Streaming Sampling for Distributed Traces]] - [[2024__CCAI__Automatic Reduction of Execution Trace Data Volume Using Gradient Boosting in Large-Scale Microservice Systems]] - [[2024__arXiv__An Online Probabilistic Distributed Tracing System]] - [[2024__ESEC-FSE__TraStrainer - Adaptive Sampling for Distributed Traces with System Runtime State]] - [[2023__NSDI__The Benefit of Hindsight - Tracing Edge-Cases in Distributed Systems]] - [[2023__ESEC-FSE__STEAM - Observability-Preserving Trace Sampling]] - [[2023__SIGCOMM__Network-Centric Distributed Tracing with DeepFlow - Troubleshooting Your Microservices in Zero Code]] - [[2021__ICWS__Sieve - Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems]] - [[2019__SoCC__Sifter - Scalable Sampling for Distributed Traces, without Feature Engineering]] - Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay - Canopy