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Session Date/Time: 23 Jul 2024 16:30

anrw

Summary

The Apply Networking Research Workshop (ANRW) 2024 kicked off with a welcome message, followed by a keynote from Sharad Gargwal of Microsoft on leveraging AI/ML for 5G and 6G systems. The workshop then transitioned into a measurement session featuring two papers. The first paper discussed the challenges of HTTP/3's Extensible Prioritization Scheme (EPS) in real-world deployments, and the second paper introduced the concept of the observer effect in computer networks and its implications for network measurement.

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Session Date/Time: 23 Jul 2024 20:00

anrw

Summary

The Applied Networking Research Workshop (anrw) session featured three presentations covering diverse topics: location-aware advertising in ENICAS IP networks, empirical characterization of Anycast convergence time, and diffusing computation for loop-free short-path routing. A fourth presentation covered traffic management focusing on Quality of Experience. The first presentation investigated regional trends and selective announcements in ENICAS routing. The second presentation empirically measured Anycast convergence times from an end-host perspective. The third presentation introduced a new routing protocol, "Dare," designed to improve the efficiency of diffusing computations. The fourth presentation looked at better Quality of Experience traffic management. Each presentation was followed by a Q&A session.

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Session Date/Time: 23 Jul 2024 22:30

anrw

Summary

This meeting focused on several aspects of network resilience and security, including carbon-aware routing with BGP, integrity protection for in-band telemetry (IOAM), security assessment of internet paths for critical infrastructure, and fixes for KeyTrap vulnerabilities. The session covered both theoretical concepts and practical implementation challenges, sparking discussions about deployment considerations, performance trade-offs, and potential improvements to existing protocols.

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Session Date/Time: 24 Jul 2024 00:30

anrw

Summary

This session covered a variety of topics related to networking research. Presentations included measuring content locality, investigating data center network protocols, defending against QUIC handshake flooding attacks using deep reinforcement learning, evaluating BBRv3 in the public internet, using machine learning for network modeling, and exploring the potential of large language models for protocol analysis and diagnostics.

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