From the 1 of 7 linked papers with an AI index.
7 papers
Pramana: A Composable, Domain-Specific Backend for Empirical Networking Research
Jaber Daneshamooz, Eugene Vuong, Alagappan Ramanathan +11
The paper presents Pramana, a composable, domain‑specific backend that separates experiment intent from execution substrate to streamline the generation of empirical networking dat…
NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series
Satyandra Guthula, Jaber Daneshamooz, Charles Fleming +3
Network operators monitor their infrastructure by collecting telemetry data such as packet counts, byte rates, or flow volumes, yet answering the questions that effective operation…
Robust and Extensible Measurement of Broadband Plans with BQT+
Laasya Koduru, Sylee Beltiukov, Alexander Nguyen +5
Independent, street address-level broadband data is essential for evaluating Internet infrastructure investments, such as the $42B Broadband Equity, Access, and Deployment (BEAD) p…
NetForge: A Programmable Substrate for Bottleneck-Centric Network Data Generation
Jaber Daneshamooz, Satyandra Guthula, Jessica Nguyen +5
The behavior of Internet applications is shaped by congestion dynamics at bottleneck links, yet data capturing application behavior across diverse bottleneck regimes remains scarce…
NetGent: Agent-Based Automation of Network Application Workflows
Jaber Daneshamooz, Eugene Vuong, Laasya Koduru +2
We present NetGent, an AI-agent framework for automating complex application workflows to generate realistic network traffic datasets. Developing generalizable ML models for networ…
Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+)
Laasya Koduru, Sylee Beltiukov, Jaber Daneshamooz +4
Poor broadband access undermines civic and economic life, a challenge exacerbated by the fact that millions of Americans still lack reliable high-speed connectivity. Federal broadb…