17 citations · 24 across the 14 of their papers we have counts for
6 papers · 1 filter
CAIP: Detecting Router Misconfigurations with Context-Aware Iterative Prompting of LLMs
Xi Jiang, Aaron Gember-Jacobson, Nick Feamster
Model checkers and consistency checkers detect critical errors in router configurations, but these tools require significant manual effort to develop and maintain. LLM-based Q&A mo…
SwiftQueue: Optimizing Low-Latency Applications with Swift Packet Queuing
Siddhant Ray, Xi Jiang, Jack Luo +2
Low Latency, Low Loss, and Scalable Throughput (L4S), as an emerging router-queue management technique, has seen steady deployment in the industry. An L4S-enabled router assigns ea…
Feasibility of State Space Models for Network Traffic Generation
Andrew Chu, Xi Jiang, Shinan Liu +4
Many problems in computer networking rely on parsing collections of network traces (e.g., traffic prioritization, intrusion detection). Unfortunately, the availability and utility…
Beyond Data Points: Regionalizing Crowdsourced Latency Measurements
Taveesh Sharma, Paul Schmitt, Francesco Bronzino +2
Despite significant investments in access network infrastructure, universal access to high-quality Internet connectivity remains a challenge. Policymakers often rely on large-scale…
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
Gerry Wan, Shinan Liu, Francesco Bronzino +2
Machine learning has shown tremendous potential for improving the capabilities of network traffic analysis applications, often outperforming simpler rule-based heuristics. However,…
FlowWise: Stateful Fast-Slow Model Serving for Streaming Traffic Intelligence
Shinan Liu, Ted Shaowang, Gerry Wan +4
Network traffic analysis in cloud and internet service provider (ISP) networks increasingly relies on machine learning (ML) models, as encryption and service consolidation make rul…