Flow Event Telemetry on Programmable Data Plane
Yu Zhou, Chen Sun, Hongqiang Harry Liu, Rui Miao, Shi Bai, Bo Li, Zhilong Zheng, Lingjun Zhu, Zhen Shen, Yongqing Xi, Pengcheng Zhang, Dennis Cai
摘要
Network performance anomalies (NPAs), e.g. long-tailed latency, bandwidth decline, etc., are increasingly crucial to cloud providers as applications are getting more sensitive to performance. The fundamental difficulty to quickly mitigate NPAs lies in the limitations of state-of-the-art network monitoring solutions --- coarse-grained counters, active probing, or packet telemetry either cannot provide enough insights on flows or incur too much overhead. This paper presents NetSeer, a flow event telemetry (FET) monitor which aims to discover and record all performance-critical data plane events, e.g. packet drops, congestion, path change, and packet pause. NetSeer is efficiently realized on the programmable data plane. It has a high coverage on flow events including inter-switch packet drop/corruption which is critical but also challenging to retrieve the original flow information, with novel intra- and inter-switch event detection algorithms running on data plane; NetSeer also achieves high scalability and accuracy with innovative designs of event aggregation, information compression, and message batching that mainly run on data plane, using switch CPU as complement. NetSeer has been implemented on commodity programmable switches and NICs. With real case studies and extensive experiments, we show NetSeer can reduce NPA mitigation time by 61%-99% with only 0.01% overhead of monitoring traffic.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper34
- CocoSketch: high-performance sketch-based measurement over arbitrary partial key queryYinda Zhang, Zaoxing Liu, Ruixin Wang, Tong Yang 等SIGCOMM 2021 · 被引用 146 次
- LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using SketchletsYikai Zhao, Kaicheng Yang, Zirui Liu, Tong Yang 等NSDI 2021 · 被引用 131 次
- Closed-loop Network Performance Monitoring and Diagnosis with SpiderMonWeitao Wang, Xinyu Crystal Wu, Praveen Tammana, Ang Chen 等NSDI 2022 · 被引用 37 次
- Unlocking the Power of Inline Floating-Point Operations on Programmable SwitchesYifan Yuan, Omar Alama, Jiawei Fei, Jacob Nelson 等NSDI 2022 · 被引用 33 次
- ChameleMon: Shifting Measurement Attention as Network State ChangesKaicheng Yang, Yuhan Wu, Ruijie Miao, Tong Yang 等SIGCOMM 2023 · 被引用 32 次
相关 Paper
- Buffer-based End-to-end Request Event Monitoring in the CloudKaihui Gao, Chen Sun, Shuai Wang, Dan Li 等NSDI 2022 · 被引用 21 次
- μMon: Empowering Microsecond-level Network Monitoring with WaveletsHao Zheng, Chengyuan Huang, Xiangyu Han, Jiaqi Zheng 等SIGCOMM 2024 · 被引用 26 次
- Hawkeye: Diagnosing RDMA Network Performance Anomalies with PFC ProvenanceShicheng Wang, Menghao Zhang, Xiao Li, Qiyang Peng 等SIGCOMM 2025 · 被引用 7 次
- OmniMon: Re-architecting Network Telemetry with Resource Efficiency and Full AccuracyQun Huang, Haifeng Sun, Patrick P. C. Lee, Wei Bai 等SIGCOMM 2020 · 被引用 109 次
- LF-Filter: Differentiated Processing for Intra-Flow Packet Delay Monitoring in High-Speed Data StreamsXiang Chen, Zhengli Lin, Lida Liao, Longlong Zhu 等KDD 2026
