Search Results for author: Davide Sanvito

Found 6 papers, 3 papers with code

The Road to BOFUSS: The Basic OpenFlow User-space Software Switch

1 code implementation20 Jan 2019 Eder Leao Fernandes, Elisa Rojas, Joaquin Alvarez-Horcajo, Zoltan Lajos Kis, Davide Sanvito, Nicola Bonelli, Carmelo Cascone, Christian Esteve Rothenberg

Software switches are pivotal in the Software-Defined Networking (SDN) paradigm, particularly in the early phases of development, deployment and testing.

Networking and Internet Architecture

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

2 code implementations9 Apr 2024 Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence

The advances made by Large Language Models (LLMs) have led to the pursuit of LLM agents that can solve intricate, multi-step reasoning tasks.

Benchmarking

Open Packet Processor: a programmable architecture for wire speed platform-independent stateful in-network processing

no code implementations6 May 2016 Giuseppe Bianchi, Marco Bonola, Salvatore Pontarelli, Davide Sanvito, Antonio Capone, Carmelo Cascone

This paper aims at contributing to the ongoing debate on how to bring programmability of stateful packet processing tasks inside the network switches, while retaining platform independency.

Networking and Internet Architecture

Running Neural Networks on the NIC

no code implementations4 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

syslrn: Learning What to Monitor for Efficient Anomaly Detection

1 code implementation29 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

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