Copertina

Using Causality for Enhanced Prediction of Web Traffic Time Series

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tian, Chang, Xing, Mingzhe, Shi, Zenglin, Blaschko, Matthew B., Yue, Yinliang, Moens, Marie-Francine
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On the Role of Time Series Clustering in Traffic Matrix Prediction
di: Cash, Martha, et al.
Pubblicazione: (2026)

Time-Series Foundation Models for ISP Traffic Forecasting
di: Liu, Fan, et al.
Pubblicazione: (2025)

WT-CFormer: High-Performance Web Traffic Anomaly Detection Based on Spatiotemporal Analysis
di: He, Yundi, et al.
Pubblicazione: (2024)

Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction
di: Ghadaksaz, MohammadMahdi, et al.
Pubblicazione: (2026)

Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment
di: Chen, Zihan, et al.
Pubblicazione: (2025)

Predicting Parameter Change's Effect on Cellular Network Time Series
di: Li, Mingjie, et al.
Pubblicazione: (2024)

SNAKE: A Sustainable and Multi-functional Traffic Analysis System utilizing Specialized Large-Scale Models with a Mixture of Experts Architecture
di: Qin, Tian, et al.
Pubblicazione: (2025)

MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
di: Zhang, Yujun, et al.
Pubblicazione: (2025)

Distillation-Enhanced Clustering Acceleration for Encrypted Traffic Classification
di: Huang, Ziyue, et al.
Pubblicazione: (2025)

FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering
di: Liu, Ximeng, et al.
Pubblicazione: (2024)

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
di: Rong, Yi, et al.
Pubblicazione: (2024)

DeeP-TE: Data-enabled Predictive Traffic Engineering
di: Yin, Zhun, et al.
Pubblicazione: (2025)

Interpretable Nonroutine Network Traffic Prediction with a Case Study
di: Wang, Liangzhi, et al.
Pubblicazione: (2024)

Towards Memory-Efficient Traffic Policing in Time-Sensitive Networking
di: Jiang, Xuyan, et al.
Pubblicazione: (2024)

Rethinking Traffic Matrix Completion: Estimate the Process, Not the Entries
di: Liu, Xiyuan, et al.
Pubblicazione: (2026)

Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection
di: Zhang, Han, et al.
Pubblicazione: (2025)

Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN
di: Habib, Md Arafat, et al.
Pubblicazione: (2024)

Advancements in Traffic Processing Using Programmable Hardware Flow Offload
di: Deri, Luca, et al.
Pubblicazione: (2024)

Combining Static and Dynamic Traffic with Delay Guarantees in Time-Sensitive Networking
di: Maile, Lisa, et al.
Pubblicazione: (2025)

State Aware Traffic Generation for Real-Time Network Digital Twins
di: Koktas, Enes, et al.
Pubblicazione: (2025)

Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation
di: Qi, Xiaoqian, et al.
Pubblicazione: (2026)

Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness
di: Wu, Shaofeng, et al.
Pubblicazione: (2024)

Network Traffic Classification Using Self-Supervised Learning and Confident Learning
di: Eslami, Ehsan, et al.
Pubblicazione: (2025)

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning
di: Razooqi, Yasameen Sajid, et al.
Pubblicazione: (2025)

Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
di: Pekar, Adrian, et al.
Pubblicazione: (2026)

Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
di: Debnath, Rubi, et al.
Pubblicazione: (2025)

PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments
di: Qin, Tian, et al.
Pubblicazione: (2025)

Enhancing 5G V2X Mode 2 for Sporadic Traffic
di: Bankov, Dmitry, et al.
Pubblicazione: (2025)

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs
di: Iqbal, Umer, et al.
Pubblicazione: (2026)

Cloudy with a Chance of Green: Measuring the Predictability of 18,009 Traffic Lights in Hamburg
di: Jeschor, Daniel, et al.
Pubblicazione: (2024)

A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation
di: Panda, Saroj Kumar, et al.
Pubblicazione: (2025)

Early-Stage IoT Device Identification Using Passive Network Traffic Analysis
di: Ciechonski, Alex, et al.
Pubblicazione: (2026)

A Robust Scheduling of Cyclic Traffic for Integrated Wired and Wireless Time-Sensitive Networks
di: Kaynak, Özgür Ozan, et al.
Pubblicazione: (2025)

GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction
di: Li, Ziyi, et al.
Pubblicazione: (2026)

Arterial Network Traffic State Prediction with Connected Vehicle Data: An Abnormality-Aware Spatiotemporal Network
di: Han, Lei, et al.
Pubblicazione: (2026)

Saving Private WAN: Using Internet Paths to Offload WAN Traffic in Conferencing Services
di: Kataria, Bhaskar, et al.
Pubblicazione: (2024)

Hyper-parameter Optimization for Wireless Network Traffic Prediction Models with A Novel Meta-Learning Framework
di: Wang, Liangzhi, et al.
Pubblicazione: (2024)

On QoE-Aware Traffic Management for Real-time, Interactive Video with Time-variant Spatial Complexity
di: Nádas, Szilveszter, et al.
Pubblicazione: (2025)

Near Real-Time Data-Driven Control of Virtual Reality Traffic in Open Radio Access Network
di: Casparsen, Andreas, et al.
Pubblicazione: (2024)

FlexScatter: Predictive Scheduling and Adaptive Rateless Coding for Wi-Fi Backscatter Communications in Dynamic Traffic Conditions
di: He, Xin, et al.
Pubblicazione: (2024)