Cover Image

Risk-Budgeted Online Scheduling for Continuous Edge Inference over Evolving Time Horizons

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Houyi, Liwang, Minghui, Zou, Sai, Ni, Wei
Format:	Preprint
Published:	2026
Subjects:	Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks
by: Qi, Houyi, et al.
Published: (2025)

Forecasting-Driven Stable Successor Matching for UAV-Assisted Continuous Edge Services
by: Qi, Houyi, et al.
Published: (2026)

Oh-Trust: Overbooking and Hybrid Trading-empowered Resource Scheduling with Smart Reputation Update over Dynamic Edge Networks
by: Qi, Houyi, et al.
Published: (2025)

Zero-Trust Bilateral Edge Service Trading with Deposit-Refund Regulation for Runtime Compliance
by: Qi, Houyi, et al.
Published: (2026)

Masking Intent, Sustaining Equilibrium: Risk-Aware Potential Game-empowered Two-Stage Mobile Crowdsensing
by: Qi, Houyi, et al.
Published: (2026)

Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions
by: Qi, Houyi, et al.
Published: (2025)

PAST: Pilot and Adaptive Orchestration for Timely and Resilient Service Delivery in Edge-Assisted UAV Networks under Spatio-Temporal Dynamics
by: Qi, Houyi, et al.
Published: (2025)

Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions
by: Guo, Bingshuo, et al.
Published: (2025)

Accelerating Stable Matching between Workers and Spatial-Temporal Tasks for Dynamic MCS: A Stagewise Service Trading Approach
by: Qi, Houyi, et al.
Published: (2025)

Spatiotemporal Feature Alignment and Weighted Fusion in Collaborative Perception Enabled by Network Synchronization and Age of Information
by: Han, Qiaomei, et al.
Published: (2026)

CODA: A Continuous Online Evolve Framework for Deploying HAR Sensing Systems
by: Qiu, Minghui, et al.
Published: (2024)

Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks
by: He, Xingqiu, et al.
Published: (2026)

Look One Step Ahead: Forward-Looking Incentive Design with Strategic Privacy for Proactive Service Provisioning over Air-Ground Integrated Edge Networks
by: Wu, Sicheng, et al.
Published: (2026)

Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services
by: Cheng, Zhipeng, et al.
Published: (2025)

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing
by: Sun, Zekai, et al.
Published: (2025)

Deterministic Scheduling over Wi-Fi 6 using Target Wake Time: An Experimental Approach
by: Rajendran, Govind, et al.
Published: (2025)

Programmable and GPU-Accelerated Edge Inference for Real-Time ISAC on NVIDIA Aerial Testbed
by: Villa, Davide, et al.
Published: (2025)

Cost Optimization for Serverless Edge Computing with Budget Constraints using Deep Reinforcement Learning
by: Chen, Chen, et al.
Published: (2025)

IGAA: Intent-Driven General Agentic AI for Edge Services Scheduling using Generative Meta Learning
by: Sun, Yan, et al.
Published: (2026)

PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
by: Qu, Guanqiao, et al.
Published: (2025)

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration
by: Sun, Yan, et al.
Published: (2026)

Enhancing Throughput for TTEthernet via Co-optimizing Routing and Scheduling: An Online Time-Varying Graph-based Method
by: He, Yaoxu, et al.
Published: (2024)

Edge Intelligence for Satellite-based Earth Observation: Scheduling Image Acquisition and Processing
by: Soret, Beatriz, et al.
Published: (2026)

AoI-based Scheduling of Correlated Sources for Timely Inference
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)

Online and Utility-Power Efficient Task Scheduling in Homogeneous Fog Networks
by: Ebadi, Fatemeh, et al.
Published: (2024)

PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services
by: Yang, Zheming, et al.
Published: (2024)

Deadline and Priority Constrained Immersive Video Streaming Transmission Scheduling
by: Feng, Tongtong, et al.
Published: (2024)

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading
by: Xu, Minrui, et al.
Published: (2025)

Bayesian Optimization for Online Management in Dynamic Mobile Edge Computing
by: Yan, Jia, et al.
Published: (2022)

SLIDE: Simultaneous Model Downloading and Inference at the Wireless Network Edge
by: Qu, Guanqiao, et al.
Published: (2025)

A New Hybrid Precoding Approach for Multi-user Massive MIMO over Fading Channels
by: Pourkabirian, Azadeh, et al.
Published: (2025)

Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling
by: Li, Jialong, et al.
Published: (2024)

Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks
by: Busacca, Fabio, et al.
Published: (2025)

A Time-Triggered Communication Method Based on Urgency-Based Scheduler in Time-Sensitive Networking
by: Luo, Feng, et al.
Published: (2024)

Periodic Scheduling of Grouped Time-Triggered Signals on a Single Resource
by: Grus, Josef, et al.
Published: (2026)

Schedulability Analysis in Time-Sensitive Networking: A Systematic Literature Review
by: Wang, Zitong, et al.
Published: (2024)

Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics
by: Fang, Zhengru, et al.
Published: (2024)

Design Insights into Partition Placement and Routing for DNN Inference in Multi-Hop Edge Networks
by: Zhang, Jinkun, et al.
Published: (2026)

Distributionally Robust Optimization for Digital Twin Service Provisioning over Edge Computing
by: Li, Yuxiang, et al.
Published: (2025)

In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks
by: Liu, Weisen, et al.
Published: (2024)