AutoSketch: Automatic Sketch-Oriented Compiler for Query-driven Network Telemetry
Haifeng Sun, Qun Huang, Jinbo Sun, Wei Wang, Jiaheng Li, Fuliang Li, Yungang Bao, Xin Yao, Gong Zhang
摘要
Recent network telemetry witnesses tremendous progress in two directions: query-driven telemetry that targets expressiveness as the primary goal, and sketch-based algorithms that address resource-accuracy trade-offs. In this paper, we propose AutoSketch that aims to integrate the advantages of both classes. In a nutshell, AutoSketch automatically compiles high-level operators into sketch instances that can be readily deployed with low resource usage and incur limited accuracy drop. However, there remains a gap between the expressiveness of high-level operators and the underlying realization of sketch algorithms. AutoSketch bridges this gap in three aspects. First, AutoSketch extends its interface derived from existing query-driven telemetry such that users can specify the desired telemetry accuracy. The specified accuracy intent will be utilized to guide the compiling procedure. Second, AutoSketch leverages various techniques, such as syntax analysis and performance estimation, to construct efficient sketch instances. Finally, AutoSketch automatically searches for the most suitable parameter configurations that fulfill the accuracy intent with minimum resource usage. Our experiments demonstrate that AutoSketch can achieve high expressiveness, high accuracy, and low resource usage compared to state-of-the-art telemetry solutions.
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引用它的顶会 Paper3
- Enabling Silent Telemetry Data Transmission with InvisiFlowYinda Zhang, Liangcheng Yu, Gianni Antichi, Ran Ben Basat 等NSDI 2025 · 被引用 5 次
- NutCracker: A Compilation Framework for Hybrid DPU ArchitecturesYihan Yang, Haifeng Sun, Antoine Kaufmann, Jialin LiEuroSys 2026 · 被引用 2 次
- CounterSnake: A lossless and generalized compression framework for diverse sketchesXunpeng Liu, Qun Huang, Yaojing Wang, Lihua Miao 等VLDB 2026
它引用的顶会 Paper20
- PINT: Probabilistic In-band Network TelemetryRan Ben Basat, Sivaramakrishnan Ramanathan, Yuliang Li, Gianni Antichi 等SIGCOMM 2020 · 被引用 268 次
- 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
- Hey, Lumi! Using Natural Language for Intent-Based Network ManagementArthur Selle Jacobs, Ricardo J. Pfitscher, Rafael Hengen Ribeiro, Ronaldo A. Ferreira 等USENIX ATC 2021 · 被引用 142 次
- Flow Event Telemetry on Programmable Data PlaneYu Zhou, Chen Sun, Hongqiang Harry Liu, Rui Miao 等SIGCOMM 2020 · 被引用 139 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
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