In-Network-Machine-Learning / QCMP
☆13Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for QCMP
- Twenty Years After: Hierarchical Core-Stateless Fair Queueing☆16Updated 3 years ago
- Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation (INFOCOM22 & ToN23)☆30Updated last year
- ☆6Updated last year
- Planter is a modular framework for realising in one-click in-network machine learning algorithms.☆24Updated 5 months ago
- Codebase for FIGRET (SIGCOMM 2024)☆11Updated last month
- Codebase for Teal (SIGCOMM 2023)☆45Updated 7 months ago
- Artifacts accompanying the NSDI '24 paper: Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate.☆11Updated 8 months ago
- In-network detection of network attacks using Random Forests and P4☆20Updated 11 months ago
- Blink: Fast Connectivity Recovery Entirely in the Data Plane☆25Updated 3 years ago
- ☆14Updated last month
- CFR-RL: Traffic Engineering with Reinforcement Learning in SDN☆50Updated 3 years ago
- Cebinae: Scalable In-network Fairness Augmentation (SIGCOMM 2022)☆21Updated 2 years ago
- NS3 support for P4 programs using bmv2☆30Updated 5 years ago
- "Offloading Real-time DDoS Attack Detection to Programmable Data Planes" P4 description☆35Updated 3 years ago
- ☆21Updated last week
- Heavy-Hitter detection in P4 switch ASIC using Inter-Packet Gap☆24Updated 3 months ago
- An Efficient Design of Intelligent Network Data Plane☆38Updated last year
- ☆20Updated 3 months ago
- DINC is a framework that efficiently plans and implements P4-based service partitions on multiple network devices.☆23Updated 9 months ago
- A dataset of network topology, including the nodes/edges features and traffic matrices.☆11Updated last year
- Planter is a modular framework for realising in one-click in-network machine learning algorithms.☆28Updated 2 months ago
- ☆21Updated 2 years ago
- IntSight: Diagnosing SLO Violations with In-Band Network Telemetry☆13Updated 2 years ago
- TMgen is a tool for generating spatial, temporal, and spatio-temporal traffic matrices.☆26Updated 4 years ago
- Flowrest: in-switch flow-level classification with random forests☆21Updated 8 months ago
- PrintQueue: Performance Diagnosis via Queue Measurement in the Data Plane☆17Updated last year
- Do Switches Dream of Machine Learning?, HotNets 2019☆61Updated 5 years ago
- ☆27Updated 4 years ago
- P4 source code of FCM-Sketch☆18Updated 3 years ago
- Unofficial P4_16 implementation of the HashPipe heavy hitter detection algorithm proposed in the paper, "Heavy-Hitter Detection Entirely …☆19Updated 4 years ago