Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis enabled by ML
Fuente:
arXiv
Saved in:
| Main Authors: | Geyer, Fabien, Scheffler, Alexander, Bondorf, Steffen |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
by: Geyer, Fabien, et al.
Published: (2019)
by: Geyer, Fabien, et al.
Published: (2019)
LUDB++: Enabling LUDB for the Analysis of Shaped Feedforward FIFO Networks using Network Calculus
by: Scheffler, Alexander
Published: (2026)
by: Scheffler, Alexander
Published: (2026)
Utility-driven Optimization of TTL Cache Hierarchies under Network Delays
by: Elsayed, Karim S., et al.
Published: (2024)
by: Elsayed, Karim S., et al.
Published: (2024)
ML-Enabled Eavesdropper Detection in Beyond 5G IIoT Networks
by: Bartsioka, Maria-Lamprini A., et al.
Published: (2025)
by: Bartsioka, Maria-Lamprini A., et al.
Published: (2025)
Network Calculus Results for TSN: An Introduction
by: Maile, Lisa, et al.
Published: (2025)
by: Maile, Lisa, et al.
Published: (2025)
Routing for Large ML Models
by: Cohen, Ofir, et al.
Published: (2025)
by: Cohen, Ofir, et al.
Published: (2025)
Precise Onboard Aircraft Cabin Localization using UWB and ML
by: Geyer, Fabien, et al.
Published: (2022)
by: Geyer, Fabien, et al.
Published: (2022)
NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
by: Wan, Haoran, et al.
Published: (2026)
by: Wan, Haoran, et al.
Published: (2026)
Revisiting Network Traffic Analysis: Compatible network flows for ML models
by: Vitorino, João, et al.
Published: (2025)
by: Vitorino, João, et al.
Published: (2025)
Weather-Adaptive Multi-Step Forecasting of State of Polarization Changes in Aerial Fibers Using Wavelet Neural Networks
by: Abdelli, Khouloud, et al.
Published: (2024)
by: Abdelli, Khouloud, 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)
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets
by: Babaria, Rushi Jayeshkumar, et al.
Published: (2025)
by: Babaria, Rushi Jayeshkumar, et al.
Published: (2025)
Early Detection of Network Service Degradation: An Intra-Flow Approach
by: Bicski, Balint, et al.
Published: (2024)
by: Bicski, Balint, et al.
Published: (2024)
Credence: Augmenting Datacenter Switch Buffer Sharing with ML Predictions
by: Addanki, Vamsi, et al.
Published: (2024)
by: Addanki, Vamsi, et al.
Published: (2024)
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation
by: Grayeli, Arya, et al.
Published: (2025)
by: Grayeli, Arya, et al.
Published: (2025)
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study
by: Pekar, Adrian, et al.
Published: (2024)
by: Pekar, Adrian, et al.
Published: (2024)
Minimal Per-Flow Backlog Bounds at an Aggregate FIFO Server under Piecewise-Linear Arrival Curves
by: Wildberger, Lukas, et al.
Published: (2025)
by: Wildberger, Lukas, et al.
Published: (2025)
Multi-Task Learning as enabler for General-Purpose AI-native RAN
by: Farooq, Hasan, et al.
Published: (2024)
by: Farooq, Hasan, et al.
Published: (2024)
TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
by: Ding, Junhui, et al.
Published: (2026)
by: Ding, Junhui, 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)
Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
by: Diab, Ali, et al.
Published: (2025)
by: Diab, Ali, et al.
Published: (2025)
Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift
by: Beytur, Hasan Burhan, et al.
Published: (2025)
by: Beytur, Hasan Burhan, et al.
Published: (2025)
Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps
by: Gong, Chen, et al.
Published: (2025)
by: Gong, Chen, et al.
Published: (2025)
Proof of AutoML: SDN based Secure Energy Trading with Blockchain in Disaster Case
by: Toprak, Salih, et al.
Published: (2025)
by: Toprak, Salih, et al.
Published: (2025)
DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training
by: Ma, Zechen, et al.
Published: (2026)
by: Ma, Zechen, et al.
Published: (2026)
Diffusion Models as Network Optimizers: Explorations and Analysis
by: Liang, Ruihuai, et al.
Published: (2024)
by: Liang, Ruihuai, et al.
Published: (2024)
Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework
by: Raj, Agastya, et al.
Published: (2025)
by: Raj, Agastya, et al.
Published: (2025)
ML-based handover prediction over a real O-RAN deployment using RAN Intelligent controller
by: Dzaferagic, Merim, et al.
Published: (2024)
by: Dzaferagic, Merim, et al.
Published: (2024)
Versatile yet Efficient Network Traffic Analysis: Offloading Network Foundation Model to SmartNIC
by: Lin, Chungang, et al.
Published: (2025)
by: Lin, Chungang, et al.
Published: (2025)
Network Traffic Analysis with Process Mining: The UPSIDE Case Study
by: Vitale, Francesco, et al.
Published: (2025)
by: Vitale, Francesco, et al.
Published: (2025)
ML KPI Prediction in 5G and B5G Networks
by: Tran, Nguyen Phuc, et al.
Published: (2024)
by: Tran, Nguyen Phuc, et al.
Published: (2024)
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
by: Luay, Majed, et al.
Published: (2025)
by: Luay, Majed, et al.
Published: (2025)
Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks
by: Shi, Chenhua, et al.
Published: (2025)
by: Shi, Chenhua, et al.
Published: (2025)
Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
by: Camacho, José, et al.
Published: (2019)
by: Camacho, José, et al.
Published: (2019)
An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization
by: Manias, Dimitrios Michael, et al.
Published: (2022)
by: Manias, Dimitrios Michael, et al.
Published: (2022)
MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
by: Zhang, Yujun, et al.
Published: (2025)
by: Zhang, Yujun, et al.
Published: (2025)
Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
by: Gajjar, Pranshav, et al.
Published: (2024)
by: Gajjar, Pranshav, et al.
Published: (2024)
Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
by: Zheng, Jie, et al.
Published: (2026)
by: Zheng, Jie, et al.
Published: (2026)
AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification
by: Pekar, Adrian
Published: (2024)
by: Pekar, Adrian
Published: (2024)
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024)
by: Zhou, Jiawei, et al.
Published: (2024)
Similar Items
-
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
by: Geyer, Fabien, et al.
Published: (2019) -
LUDB++: Enabling LUDB for the Analysis of Shaped Feedforward FIFO Networks using Network Calculus
by: Scheffler, Alexander
Published: (2026) -
Utility-driven Optimization of TTL Cache Hierarchies under Network Delays
by: Elsayed, Karim S., et al.
Published: (2024) -
ML-Enabled Eavesdropper Detection in Beyond 5G IIoT Networks
by: Bartsioka, Maria-Lamprini A., et al.
Published: (2025) -
Network Calculus Results for TSN: An Introduction
by: Maile, Lisa, et al.
Published: (2025)