Cover Image

Cloud-Fog-Edge Collaborative Computing for Sequential MIoT Workflow: A Two-Tier DDPG-Based Scheduling Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Yuhao, Zhang, Yinghao, Liu, Yalin, Tao, Bishenghui, Ruan, Junhong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Confidence-Constrained Cloud-Edge Collaborative Framework for Autism Spectrum Disorder Diagnosis
by: Deng, Qi, et al.
Published: (2025)

MIoT-Driven Comparison of Open Blockchain Platforms
by: Jabri, Abdou-Essamad, et al.
Published: (2025)

LPSRUA–MIoT: Lightweight and Provable Secure Remote User Authentication Scheme for Multi‐Gateway Computing Framework in Internet of Things
by: Priyanka Das, et al.
Published: (2024)

Workflow Scheduling in Cloud–Fog Computing Environments: A Systematic Literature Review
by: Raouia Bouabdallah, et al.
Published: (2024)

Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning
by: Wang, Yuqing, et al.
Published: (2025)

KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
by: Shan, Chenggang, et al.
Published: (2024)

Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
by: Yang, Tao, et al.
Published: (2022)

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
by: Liu, Jing, et al.
Published: (2025)

Conservative DDPG -- Pessimistic RL without Ensemble
by: Soffair, Nitsan, et al.
Published: (2024)

Improved DDPG ‐Based Path Planning for Mobile Robots
by: Xianyong Ruan, et al.
Published: (2025)

HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
by: Zhang, Tiancheng, et al.
Published: (2025)

Cloud‐Edge‐End Collaborative Dependent Computing Schedule Strategy for Immersive Media
by: Xiaoxi Wang, et al.
Published: (2025)

FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
by: Nguyen, Van-Dinh, et al.
Published: (2021)

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
by: Xiao, Wenjing, et al.
Published: (2025)

A Poly-Log Approximation for Transaction Scheduling in Fog-Cloud Computing and Beyond
by: Adhikari, Ramesh, et al.
Published: (2025)

Enhanced Task Scheduling With Metaheuristics for Delay and Energy Optimization in Cloud‐Fog Computing
by: Pinky, et al.
Published: (2025)

Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model
by: Li, Yunfeng, et al.
Published: (2025)

Distributed Edge Analytics in Edge-Fog-Cloud Continuum
by: Srirama, Satish Narayana
Published: (2024)

A Paradigm For Collaborative Pervasive Fog Computing Ecosystems at the Network Edge
by: Mtibaa, Abderrahmen
Published: (2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
by: Dong, Hang, et al.
Published: (2024)

Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks
by: Li, Xiang, et al.
Published: (2024)

Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDE
by: Liu, Rongwei, et al.
Published: (2025)

Sentinel: Scheduling Live Streams with Proactive Anomaly Detection in Crowdsourced Cloud-Edge Platforms
by: Li, Yuting, et al.
Published: (2025)

Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception
by: Liu, Yandi, et al.
Published: (2025)

Hierarchical Reinforcement Learning for Integrated Cloud-Fog-Edge Computing in IoT Systems
by: Zarei, Ameneh, et al.
Published: (2025)

Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach
by: He, Xingqiu, et al.
Published: (2023)

WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition
by: Li, Rong, et al.
Published: (2025)

FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks
by: Xiang, Tianao, et al.
Published: (2025)

Collaborative Edge AI Inference over Cloud-RAN
by: Zhang, Pengfei, et al.
Published: (2024)

Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing
by: Avan, Amin, et al.
Published: (2025)

Correction to “Cloud‐Edge‐End Collaborative Dependent Computing Schedule Strategy for Immersive Media”
Published: (2026)

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
by: Jayanetti, Amanda, et al.
Published: (2024)

Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud
by: Mounesan, Motahare, et al.
Published: (2024)

ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments
by: Wang, Zhiyu, et al.
Published: (2024)

Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management
by: Zhang, Yifan, et al.
Published: (2024)

Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
by: Qiao, Nan, et al.
Published: (2026)

A Decentralized Multiagent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing
by: Yang, Yikun, et al.
Published: (2024)

Learning Virtual Machine Scheduling in Cloud Computing through Language Agents
by: Wu, JieHao, et al.
Published: (2025)

Sequential Estimation of Gaussian Process-based Deep State-Space Models
by: Liu, Yuhao, et al.
Published: (2023)

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
by: Tang, Lujie, et al.
Published: (2024)