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From the 1 of 6 linked papers with an AI index.

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20242026
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cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.NI2025

Leveraging Large Language Models to Contextualize Network Measurements

Roman Beltiukov, Karthik Bhattaram, Evania Cheng +4

With the worldwide growth of remote communication and telepresence, network measurements form a cornerstone of effective performance assessment and diagnostics for Internet users.…

cs.NI2024

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation

Momin Haider, Ming Yin, Menglei Zhang +3

Mobile devices such as smartphones, laptops, and tablets can often connect to multiple access networks (e.g., Wi-Fi, LTE, and 5G) simultaneously. Recent advancements facilitate sea…