Cover Image

AgentFlow: Resilient Adaptive Cloud-Edge Framework for Multi-Agent Coordination

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Ching Han, Shiu, Ming Fang
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026)

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling
by: Fang, Bruce, et al.
Published: (2025)

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection
by: Chen, Zihao, et al.
Published: (2025)

HybridFlow: Resource-Adaptive Subtask Routing for Efficient Edge-Cloud LLM Inference
by: Dong, Jiangwen, et al.
Published: (2025)

A Digital Twin-based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination
by: Hua, Zhengchang, et al.
Published: (2025)

Failure-Resilient and Carbon-Efficient Deployment of Microservices over the Cloud-Edge Continuum
by: Ponce, Francisco, et al.
Published: (2026)

Kairos: Low-latency Multi-Agent Serving with Shared LLMs and Excessive Loads in the Public Cloud
by: Chen, Jinyuan, et al.
Published: (2025)

iDynamics: A Configurable Emulation Framework for Evaluating Microservice Scheduling Policies under Controllable Cloud-Edge Dynamics
by: Chen, Ming, et al.
Published: (2025)

Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System
by: Ching, Cheng-Wei, et al.
Published: (2026)

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

ACE-Sync: An Adaptive Cloud-Edge Synchronization Framework for Communication-Efficient Large-Scale Distributed Model Training
by: Yang, Yi, et al.
Published: (2025)

PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
by: Han, Yunhe, et al.
Published: (2026)

REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud-Edge Continuum
by: Bai, Xu, et al.
Published: (2025)

SWARM+: Scalable and Resilient Multi-Agent Consensus for Fully-Decentralized Data-Aware Workload Management
by: Thareja, Komal, et al.
Published: (2026)

Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
by: Raj, Suman, et al.
Published: (2024)

FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud
by: Lin, Yuhao, et al.
Published: (2026)

Data Sharing at the Edge of the Network: A Disturbance Resilient Multi-modal ITS
by: Mikolasek, Igor, et al.
Published: (2024)

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

ML-ECS: A Collaborative Multimodal Learning Framework for Edge-Cloud Synergies
by: Liu, Yuze, et al.
Published: (2026)

Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems
by: Li, Yilin, et al.
Published: (2025)

A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
by: Zhang, Yida, et al.
Published: (2026)

Distributed Speculative Execution for Resilient Cloud Applications
by: Li, Tianyu, et al.
Published: (2024)

MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2026)

Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
by: Xia, Mengchun, et al.
Published: (2026)

Performance Evaluation of Automated Multi-Service Deployment in Edge-Cloud Environments with the CODECO Toolkit
by: Koukis, Georgios, et al.
Published: (2026)

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
by: Cao, Jiahe, et al.
Published: (2026)

GeoFaaS: An Edge-to-Cloud FaaS Platform
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)

Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing
by: Sheng, Jinhao, et al.
Published: (2025)

KubeDSM: A Kubernetes-based Dynamic Scheduling and Migration Framework for Cloud-Assisted Edge Clusters
by: Pashaeehir, Amirhossein, et al.
Published: (2025)

MoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2025)

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

Exact, Efficient, and Reliable Multi-Objective and Multi-Constrained IoT Workflow Scheduling in Edge-Hub-Cloud Cyber-Physical Systems
by: Kouloumpris, Andreas, et al.
Published: (2026)

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms
by: Loisel, Filip, et al.
Published: (2024)

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks
by: Zhan, Huiyou, et al.
Published: (2025)

HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
by: Zhu, Jianyong, et al.
Published: (2026)

Parallelized Multi-Agent Bayesian Optimization in Lava
by: Snyder, Shay, et al.
Published: (2024)

Speculative Policy Orchestration: A Latency-Resilient Framework for Cloud-Robotic Manipulation
by: Nguyen, Chanh, et al.
Published: (2026)

Optimizing Service Placement in Edge-to-Cloud AR/VR Systems using a Multi-Objective Genetic Algorithm
by: Herabad, Mohammadsadeq Garshasbi, et al.
Published: (2024)

Edge-Cloud Collaborative Pothole Detection via Onboard Event Screening and Federated Temporal Segmentation
by: Wu, Yingjie, et al.
Published: (2026)

Distributed Resource Selection for Self-Organising Cloud-Edge Systems
by: Renau, Quentin, et al.
Published: (2025)