Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Zhiying, Yan, Francis Y., Singh, Rachee, Chiu, Justin T., Rush, Alexander M., Yu, Minlan |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024)
by: Zhou, Jiawei, et al.
Published: (2024)
GATE: GPU-Accelerated Traffic Engineering for the WAN
by: Bothra, Rahul, et al.
Published: (2026)
by: Bothra, Rahul, et al.
Published: (2026)
Stable and Fault-Tolerant Decentralized Traffic Engineering
by: Devraj, Arjun, et al.
Published: (2025)
by: Devraj, Arjun, et al.
Published: (2025)
LMTE: Putting the "Reasoning" into WAN Traffic Engineering with Language Models
by: Yuan, Xinyu, et al.
Published: (2026)
by: Yuan, Xinyu, et al.
Published: (2026)
Taming Imbalance and Complexity in WAN Traffic Engineering
by: Xin, Yufeng, et al.
Published: (2024)
by: Xin, Yufeng, et al.
Published: (2024)
PipSwitch: A Circuit Switch Using Programmable Integrated Photonics
by: Ding, Eric, et al.
Published: (2025)
by: Ding, Eric, et al.
Published: (2025)
Saving Private WAN: Using Internet Paths to Offload WAN Traffic in Conferencing Services
by: Kataria, Bhaskar, et al.
Published: (2024)
by: Kataria, Bhaskar, et al.
Published: (2024)
Morphlux: Transforming Torus Fabrics for Efficient Multi-tenant ML
by: Kumar, Abhishek Vijaya, et al.
Published: (2025)
by: Kumar, Abhishek Vijaya, et al.
Published: (2025)
Photonic Rails in ML Datacenters
by: Ding, Eric, et al.
Published: (2025)
by: Ding, Eric, et al.
Published: (2025)
Accelerating Update Broadcasts Over LoRaWAN Downlink via D2D Cooperation
by: Singh, Anshika, et al.
Published: (2026)
by: Singh, Anshika, et al.
Published: (2026)
LUMION: Fast Fault Recovery for ML Jobs Using Programmable Optical Fabrics
by: Kumar, Abhishek Vijaya, et al.
Published: (2025)
by: Kumar, Abhishek Vijaya, et al.
Published: (2025)
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
by: Li, Minghao, et al.
Published: (2023)
by: Li, Minghao, et al.
Published: (2023)
Photonic Rails in ML Datacenters with Opus
by: Ding, Eric, et al.
Published: (2026)
by: Ding, Eric, et al.
Published: (2026)
NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering
by: Mao, Yingming, et al.
Published: (2026)
by: Mao, Yingming, et al.
Published: (2026)
Chip-to-chip photonic connectivity in multi-accelerator servers for ML
by: Kumar, Abhishek Vijaya, et al.
Published: (2025)
by: Kumar, Abhishek Vijaya, et al.
Published: (2025)
An LLM-based Agentic Framework for Accessible Network Control
by: Lin, Samuel, et al.
Published: (2025)
by: Lin, Samuel, et al.
Published: (2025)
Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
by: Zhou, Fangtong, et al.
Published: (2025)
by: Zhou, Fangtong, et al.
Published: (2025)
CrossCheck: Input Validation for WAN Control Systems
by: Krentsel, Alexander, et al.
Published: (2026)
by: Krentsel, Alexander, et al.
Published: (2026)
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
by: Ponraj, Riya, et al.
Published: (2025)
by: Ponraj, Riya, et al.
Published: (2025)
Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
by: Liu, Ximeng, et al.
Published: (2025)
by: Liu, Ximeng, et al.
Published: (2025)
Lessons Learned: A Smart Campus Environment Using LoRaWAN
by: Gupta, Hari Prabhat
Published: (2024)
by: Gupta, Hari Prabhat
Published: (2024)
Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control Traffic
by: Seo, Minjae, et al.
Published: (2025)
by: Seo, Minjae, et al.
Published: (2025)
Enabling Edge processing on LoRaWAN architecture
by: Milani, Stefano, et al.
Published: (2024)
by: Milani, Stefano, et al.
Published: (2024)
Adapting LoRaWAN to the Open-RAN Architecture
by: Alfayoumi, Sobhi, et al.
Published: (2024)
by: Alfayoumi, Sobhi, et al.
Published: (2024)
An Investigation of Software Defined Wide Area Networking (SD-WAN) for Optimizing Multi-site Enterprise Networks
by: Sun, Chaoran, et al.
Published: (2024)
by: Sun, Chaoran, et al.
Published: (2024)
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
by: Yan, Jinzhu, et al.
Published: (2024)
by: Yan, Jinzhu, et al.
Published: (2024)
Declarative Traffic Engineering for Low-Latency and Reliable Networking
by: Massa, Jacopo, et al.
Published: (2025)
by: Massa, Jacopo, et al.
Published: (2025)
Mesh Augmentation of LoRaWAN-based IoT Networks
by: Ramanathan, Ram, et al.
Published: (2025)
by: Ramanathan, Ram, et al.
Published: (2025)
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
by: Chehade, Adel, et al.
Published: (2025)
by: Chehade, Adel, et al.
Published: (2025)
Deep Learning Network-Temporal Models For Traffic Prediction
by: Xin, Yufeng, et al.
Published: (2026)
by: Xin, Yufeng, et al.
Published: (2026)
Preprocess your Paths -- Speeding up Linear Programming-based Optimization for Segment Routing Traffic Engineering
by: Brundiers, Alexander, et al.
Published: (2023)
by: Brundiers, Alexander, et al.
Published: (2023)
Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model
by: Yuan, Xinyu, et al.
Published: (2024)
by: Yuan, Xinyu, et al.
Published: (2024)
Capture Aware Sequential Waterfilling for LoraWAN Adaptive Data Rate
by: Bianchi, Giuseppe, et al.
Published: (2019)
by: Bianchi, Giuseppe, et al.
Published: (2019)
Congestion Control System Optimization with Large Language Models
by: He, Zhiyuan, et al.
Published: (2025)
by: He, Zhiyuan, et al.
Published: (2025)
Near-optimal Online Traffic Engineering
by: Ghavidel, Arvin, et al.
Published: (2026)
by: Ghavidel, Arvin, et al.
Published: (2026)
Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning
by: Chen, Jiahui, et al.
Published: (2021)
by: Chen, Jiahui, et al.
Published: (2021)
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)
by: Zhao, Yuqi, et al.
Published: (2025)
Mowgli: Passively Learned Rate Control for Real-Time Video
by: Agarwal, Neil, et al.
Published: (2024)
by: Agarwal, Neil, et al.
Published: (2024)
Distillation-Enhanced Clustering Acceleration for Encrypted Traffic Classification
by: Huang, Ziyue, et al.
Published: (2025)
by: Huang, Ziyue, et al.
Published: (2025)
Online Learning Based Efficient Resource Allocation for LoRaWAN Network
by: Wang, Ruiqi, et al.
Published: (2025)
by: Wang, Ruiqi, et al.
Published: (2025)
Similar Items
-
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024) -
GATE: GPU-Accelerated Traffic Engineering for the WAN
by: Bothra, Rahul, et al.
Published: (2026) -
Stable and Fault-Tolerant Decentralized Traffic Engineering
by: Devraj, Arjun, et al.
Published: (2025) -
LMTE: Putting the "Reasoning" into WAN Traffic Engineering with Language Models
by: Yuan, Xinyu, et al.
Published: (2026) -
Taming Imbalance and Complexity in WAN Traffic Engineering
by: Xin, Yufeng, et al.
Published: (2024)