shuoshuc / FabricEvalLinks
An evaluation framework for data center traffic engineering.
☆12Updated last year
Alternatives and similar repositories for FabricEval
Users that are interested in FabricEval are comparing it to the libraries listed below
Sorting:
- Codebase for Teal (SIGCOMM 2023)☆54Updated last year
- ☆25Updated 2 years ago
- Codebase for FIGRET (SIGCOMM 2024)☆20Updated last year
- ☆17Updated last year
- Anonymized code for NCFlow, NSDI 2021 Spring submission☆24Updated 4 years ago
- [ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li, Arash Nasr-Esfahany, Kevin Zha…☆24Updated last year
- ☆60Updated last year
- ☆10Updated 2 years ago
- Cebinae: Scalable In-network Fairness Augmentation (SIGCOMM 2022)☆22Updated 3 years ago
- ☆88Updated 5 years ago
- ☆18Updated last year
- ☆140Updated 4 months ago
- Twenty Years After: Hierarchical Core-Stateless Fair Queueing☆16Updated 4 years ago
- YATES (Yet Another Traffic Engineering System)☆68Updated 2 years ago
- ☆42Updated last year
- A Hybrid Framework to Build High-performance Adaptive Neural Networks for Kernel Datapath☆27Updated 2 years ago
- Synthesized data from real-world traces of data-intensive applications for coflow benchmarking.☆27Updated 10 years ago
- [SIGCOMM'23] DONS: Fast and Affordable Discrete Event Network Simulation with Automatic Parallelization.☆52Updated last year
- ☆83Updated 3 years ago
- Packet simulator for data center network topologies, routing, and congestion control☆62Updated 7 years ago
- ☆32Updated 4 years ago
- Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-based Routing with Reinforcement Learning☆14Updated 3 years ago
- ☆29Updated 3 years ago
- ☆21Updated 3 weeks ago
- NeuroCuts is a deep RL algorithm for generating optimized packet classification trees.☆75Updated 5 years ago
- ☆59Updated 3 years ago
- Flow level simulation☆15Updated 9 years ago
- Sage of Congestion Control (or How Computers Can Learn from Existing Schemes and Master Internet CC)☆47Updated last year
- [TBD] "m4: A Learned Flow-level Network Simulator" by Chenning Li, Anton A. Zabreyko, Om Chabra, Arash Nasr-Esfahany, Kevin Zhao, Pratees…☆15Updated last week
- Artifacts accompanying the NSDI '24 paper: Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate.☆20Updated last year