17 citations · 22 across the 11 of their papers we have counts for
10 papers · 1 filter
An Internet for the KV Cache: Rethinking Classical Infrastructure Boundaries in the LLM Inference Age
Siddhant Ray, Nick Feamster, Junchen Jiang
LLM inference has become a global-scale, heterogeneous workload spanning agents, retrieval, tool-use, code execution and multi-modal reasoning. These workloads naturally enable con…
Characterizing the Impact of Active Queue Management on Speed Test Measurements
Siddhant Ray, Taveesh Sharma, Jonatas Marques +3
Present day speed test tools measure peak throughput, but often fail to capture the user-perceived responsiveness of a network connection under load. Recently, platforms such as ND…
NetSSM: Multi-Flow and State-Aware Network Trace Generation using State Space Models
Andrew Chu, Xi Jiang, Shinan Liu +4
Access to raw network traffic data is essential for many computer networking tasks, from traffic modeling to performance evaluation. Unfortunately, this data is scarce due to high…
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
Ragini Gupta, Shinan Liu, Ruixiao Zhang +7
Machine learning has shown promise in network intrusion detection systems, yet its performance often degrades due to concept drift and imbalanced data. These challenges are compoun…
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…