syslrn: Learning What to Monitor for Efficient Anomaly Detection

1 code implementation • 29 Mar 2022 • Davide Sanvito, Giuseppe Siracusano, Sharan Santhanam, Roberto Gonzalez, Roberto Bifulco

While monitoring system behavior to detect anomalies and failures is important, existing methods based on log-analysis can only be as good as the information contained in the logs, and other approaches that look at the OS-level software state introduce high overheads.

Anomaly Detection

Running Neural Networks on the NIC

no code implementations • 4 Sep 2020 • Giuseppe Siracusano, Salvator Galea, Davide Sanvito, Mohammad Malekzadeh, Hamed Haddadi, Gianni Antichi, Roberto Bifulco

In this paper we show that the data plane of commodity programmable (Network Interface Cards) NICs can run neural network inference tasks required by packet monitoring applications, with low overhead.

BIG-bench Machine Learning

In-network Neural Networks

no code implementations • 17 Jan 2018 • Giuseppe Siracusano, Roberto Bifulco

We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers.