Lasso is proposed, a lightweight and hardware-conscious approach that achieves high detection accuracy under tight memory budgets while sustaining high processing throughput on industry-grade hardware, including Tofino-1 programmable switches and FPGA platforms.
Wei-He Li, Jia-Wei Huang, Zhao-Yi Li et al.· Proceedings of the 32nd ACM...· 0 citations
In recent years, there has been a growing trend in deploying machine learning models directly in the data plane, taking advantage of the high throughput and low latency offered by modern programmable switches to conduct various tasks such as line-rate traffic classification and anomaly detection. Among these models, de...
Jia-Wei Huang, Xin Li, Yi-Jun Li et al.· Proceedings of the Internati...· 0 citations
In high-speed data streams, identifying long-lived (also referred to as persistent) sparse items is critical, as such patterns may indicate stealthy or low-rate threats yet remain largely underexplored. Although recent studies have begun to examine this problem, existing approaches either suffer from low lookup accurac...
Weihe Li, Jiawei Huang, Zhaoyi Li et al.· Proceedings of the 32nd ACM...· 0 citations
Initial evaluations demonstrate that PFC-S can reduce the average flow completion time and effectively prevent congestion spreading, and experimental results show that PFC-S provides better protection for victim flows compared to standard PFC, BFC, and HPCC methods.
Wei-Min Gao, Jia-Wei Huang, Qile Wang et al.· Journal of High Speed Networ...· 0 citations
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