SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches
Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste
摘要
Sketching algorithms or sketches enable accurate network measurement results with low resource footprints. While emerging programmable switches are an attractive target to get these benefits, current implementations of sketches are either inefficient and/or infeasible on hardware. Our contributions in the paper are: (1) systematically analyzing the resource bottlenecks of existing sketch implementations in hardware; (2) identifying practical and correct-by-construction optimization techniques to tackle the identified bottlenecks; and
(3) designing an easy-to-use library called SketchLib to help developers efficiently implement their sketch algorithms in switch hardware to benefit from these resource optimizations. Our evaluation on state-of-the-art sketches demonstrates that SketchLib reduces the hardware resource footprint up to 96% without impacting fidelity.
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引用它的顶会 Paper17
- 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
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- μMon: Empowering Microsecond-level Network Monitoring with WaveletsHao Zheng, Chengyuan Huang, Xiangyu Han, Jiaqi Zheng 等SIGCOMM 2024 · 被引用 26 次
- Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream ProcessingWeihe Li, Paul PatrasWWW 2024 · 被引用 23 次
它引用的顶会 Paper2
- Universal Online Sketch for Tracking Heavy Hitters and Estimating Moments of Data StreamsQingjun Xiao, Zhiying Tang, Shigang ChenINFOCOM 2020 · 被引用 30 次
- Joltik: enabling energy-efficient "future-proof" analytics on low-power wide-area networksMingran Yang, Junbo Zhang, Akshay Gadre, Zaoxing Liu 等MobiCom 2020 · 被引用 14 次
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