2 citations · 2 across the 7 of their papers we have counts for
8 papers
The Potential of Erroneous Outbound Traffic Analysis to Unveil Silent Internal Anomalies
Andrea Sordello, Zhihao Wang, Kai Huang +2
Passive measurement has traditionally focused on inbound traffic to detect malicious activity, based on the assumption that threats originate externally. In this paper, we offer a…
MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability
Tie Ma, Yixi Chen, Vaastav Anand +8
We present MAESTRO, an evaluation suite for the testing, reliability, and observability of LLM-based MAS. MAESTRO standardizes MAS configuration and execution through a unified int…
A Network Arena for Benchmarking AI Agents on Network Troubleshooting
Zhihao Wang, Alessandro Cornacchia, Alessio Sacco +3
Agentic systems, powered by Large Language Models (LLMs), assist network engineers with network configuration synthesis and network troubleshooting tasks. For network troubleshooti…
DMAS-Forge: A Framework for Transparent Deployment of AI Applications as Distributed Systems
Alessandro Cornacchia, Vaastav Anand, Muhammad Bilal +2
Agentic AI applications increasingly rely on multiple agents with distinct roles, specialized tools, and access to memory layers to solve complex tasks -- closely resembling servic…
ChamaleoNet: Programmable Passive Probe for Enhanced Visibility on Erroneous Traffic
Zhihao Wang, Alessandro Cornacchia, Andrea Bianco +4
Traffic visibility remains a key component for management and security operations. Observing erroneous traffic, i.e., unanswered requests or error messages, is fundamental to detec…
Towards a Playground to Democratize Experimentation and Benchmarking of AI Agents for Network Troubleshooting
Zhihao Wang, Alessandro Cornacchia, Franco Galante +3
Recent research has demonstrated the effectiveness of Artificial Intelligence (AI), and more specifically, Large Language Models (LLMs), in supporting network configuration synthes…
Information Retrieval in the Age of Generative AI: The RGB Model
Michele Garetto, Alessandro Cornacchia, Franco Galante +3
The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and s…
Sharing GPUs and Programmable Switches in a Federated Testbed with SHARY
Stefano Salsano, Andrea Mayer, Paolo Lungaroni +8
Federated testbeds enable collaborative research by providing access to diverse resources, including computing power, storage, and specialized hardware like GPUs, programmable swit…