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Networking for LLM training
- I’ve Got 99 Problems But FLOPS Ain’t One []
  - University Politehnica of Bucharest
  - The future of large-scale AI infrastructure requires
    (1) novel wide-area transports for inter-DC communication;
    (2) a multipath transport and novel datacenter topologies for intra-datacenter communication;
    (3) high-speed scale-up networks and transport.
LLM for networking
- Designing Network Algorithms via Large Language Models []
  - MSR
  - NADA: Network Algorithm Design Automation via LLMs

- MIT
- Scale the congestion window size (or sending rate) based on the number of bytes sent at each iteration.

- UC Berkeley
- At real-time timescales, making freshness decisions in response to incoming writes is more efficient than TTL-based policies.
- Shahid Beheshti University & Università della Svizzera italiana & Institute for Research in Fundamental Sciences & Sharif University of Technology
- Web servers proactively provide clients with the latest validation tokens for resources during the initial step of page loading → Allow browsers to use unchanged cached content without unnecessary round trips.

- USC & Hebrew University of Jerusalem & Rice University & Microsoft
- A gray-box approach (leverage partial information) → Use gradient to analyze the performance of DNNs.
- UWaterloo & Princeton
- Language abstractions to enable users to model network functionality and analysis tasks in an imperative solver-agnostic program.
- A framework to transform them into a representation that can be analyzed by the appropriate solver.

- XJTU & ByteDance
- Draw some insights from the field of Automatic Software Repair (ASR).
- Propose localize-fix-validate as a possible approach to realize Automatic Configuration Repair (ACR).

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Papers

Large Language Models (LLMs)

Networking for LLM training

LLM for networking

Designing Network Algorithms via Large Language Models []
- MSR
- NADA: Network Algorithm Design Automation via LLMs

Congestion Control

MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning []

MIT
Scale the congestion window size (or sending rate) based on the number of bytes sent at each iteration.

Trading Systems

Network Design Considerations for Trading Systems []

Caching

Revisiting Cache Freshness for Emerging Real-Time Applications []

UC Berkeley
At real-time timescales, making freshness decisions in response to incoming writes is more efficient than TTL-based policies.

Rethinking Web Caching: An Optimization for the Latency-Constrained Internet []

Shahid Beheshti University & Università della Svizzera italiana & Institute for Research in Fundamental Sciences & Sharif University of Technology
Web servers proactively provide clients with the latest validation tokens for resources during the initial step of page loading → Allow browsers to use unchanged cached content without unnecessary round trips.

Performance Analysis

End-to-End Performance Analysis of Learning-enabled Systems []

USC & Hebrew University of Jerusalem & Rice University & Microsoft
A gray-box approach (leverage partial information) → Use gradient to analyze the performance of DNNs.

Buffy: A Formal Language-Based Framework for Network Performance Analysis []

UWaterloo & Princeton
Language abstractions to enable users to model network functionality and analysis tasks in an imperative solver-agnostic program.
A framework to transform them into a representation that can be analyzed by the appropriate solver.

Reliability

Automatic Configuration Repair []

XJTU & ByteDance
Draw some insights from the field of Automatic Software Repair (ASR).
Propose localize-fix-validate as a possible approach to realize Automatic Configuration Repair (ACR).