Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Fuente:
arXiv
Guardado en:
| Autores principales: | Peng, Haosong, Zhan, Yufeng, Zhai, DiHua, Zhang, Xiaopu, Xia, Yuanqing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching
por: Peng, Haosong, et al.
Publicado: (2024)
por: Peng, Haosong, et al.
Publicado: (2024)
Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework
por: Peng, Haosong, et al.
Publicado: (2024)
por: Peng, Haosong, et al.
Publicado: (2024)
LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing
por: Guo, Hao, et al.
Publicado: (2026)
por: Guo, Hao, et al.
Publicado: (2026)
A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
por: Mukherjee, Anwesha, et al.
Publicado: (2024)
por: Mukherjee, Anwesha, et al.
Publicado: (2024)
A Survey of Computation Offloading with Task Types
por: Zhang, Siqi, et al.
Publicado: (2023)
por: Zhang, Siqi, et al.
Publicado: (2023)
Workload Distribution with Rateless Encoding: A Low-Latency Computation Offloading Method within Edge Networks
por: Guo, Zhongfu, et al.
Publicado: (2023)
por: Guo, Zhongfu, et al.
Publicado: (2023)
Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing
por: Gao, Chuanchao, et al.
Publicado: (2025)
por: Gao, Chuanchao, et al.
Publicado: (2025)
Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading
por: Peng, Shifeng, et al.
Publicado: (2024)
por: Peng, Shifeng, et al.
Publicado: (2024)
OffloadFS: Leveraging Disaggregated Storage for Computation Offloading
por: Moon, Sungho, et al.
Publicado: (2026)
por: Moon, Sungho, et al.
Publicado: (2026)
Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions
por: Moghaddasi, Komeil, et al.
Publicado: (2024)
por: Moghaddasi, Komeil, et al.
Publicado: (2024)
Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach
por: Huang, Yaorong, et al.
Publicado: (2026)
por: Huang, Yaorong, et al.
Publicado: (2026)
KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
por: Shan, Chenggang, et al.
Publicado: (2024)
por: Shan, Chenggang, et al.
Publicado: (2024)
Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing
por: Chen, Chen, et al.
Publicado: (2026)
por: Chen, Chen, et al.
Publicado: (2026)
To Offload or Not To Offload: Model-driven Comparison of Edge-native and On-device Processing In the Era of Accelerators
por: Ng, Nathan, et al.
Publicado: (2025)
por: Ng, Nathan, et al.
Publicado: (2025)
Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks
por: Xiaoyang, Ting, et al.
Publicado: (2024)
por: Xiaoyang, Ting, et al.
Publicado: (2024)
Mobile Edge Computing
por: Ahmed, Sohaib, et al.
Publicado: (2024)
por: Ahmed, Sohaib, et al.
Publicado: (2024)
HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
por: Zhu, Jianyong, et al.
Publicado: (2026)
por: Zhu, Jianyong, et al.
Publicado: (2026)
Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
por: Ma, Ke, et al.
Publicado: (2025)
por: Ma, Ke, et al.
Publicado: (2025)
A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
por: Wang, Xin, et al.
Publicado: (2025)
por: Wang, Xin, et al.
Publicado: (2025)
Real-Time Service Subscription and Adaptive Offloading Control in Vehicular Edge Computing
por: Gao, Chuanchao, et al.
Publicado: (2025)
por: Gao, Chuanchao, et al.
Publicado: (2025)
CCRSat: A Collaborative Computation Reuse Framework for Satellite Edge Computing Networks
por: Zhang, Ye, et al.
Publicado: (2025)
por: Zhang, Ye, et al.
Publicado: (2025)
EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
por: Zhang, Mingjin, et al.
Publicado: (2024)
por: Zhang, Mingjin, et al.
Publicado: (2024)
Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
por: Chen, Shuyi, et al.
Publicado: (2025)
por: Chen, Shuyi, et al.
Publicado: (2025)
Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems
por: Barceló, Alex, et al.
Publicado: (2025)
por: Barceló, Alex, et al.
Publicado: (2025)
Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing
por: Boing, Ricardo N., et al.
Publicado: (2022)
por: Boing, Ricardo N., et al.
Publicado: (2022)
Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
por: Ma, Ke, et al.
Publicado: (2024)
por: Ma, Ke, et al.
Publicado: (2024)
EdgeFaaS: A Function-based Framework for Edge Computing
por: Jin, Runyu, et al.
Publicado: (2022)
por: Jin, Runyu, et al.
Publicado: (2022)
Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks
por: Wang, Zhen, et al.
Publicado: (2025)
por: Wang, Zhen, et al.
Publicado: (2025)
Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
por: Xia, Mengchun, et al.
Publicado: (2026)
por: Xia, Mengchun, et al.
Publicado: (2026)
EdgeSphere: A Three-Tier Architecture for Cognitive Edge Computing
por: Makaya, Christian, et al.
Publicado: (2024)
por: Makaya, Christian, et al.
Publicado: (2024)
Accurate Performance Predictors for Edge Computing Applications
por: Giannakopoulos, Panagiotis, et al.
Publicado: (2025)
por: Giannakopoulos, Panagiotis, et al.
Publicado: (2025)
Sustainable Edge Computing: Challenges and Future Directions
por: Arroba, Patricia, et al.
Publicado: (2023)
por: Arroba, Patricia, et al.
Publicado: (2023)
Proactive and Reactive Autoscaling Techniques for Edge Computing
por: Gupta, Suhrid, et al.
Publicado: (2025)
por: Gupta, Suhrid, et al.
Publicado: (2025)
Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
por: Zhang, Mingjin, et al.
Publicado: (2024)
por: Zhang, Mingjin, et al.
Publicado: (2024)
Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
por: Qiu, Houming, et al.
Publicado: (2025)
por: Qiu, Houming, et al.
Publicado: (2025)
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
por: Wu, Jianqiu, et al.
Publicado: (2023)
por: Wu, Jianqiu, et al.
Publicado: (2023)
LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
por: Tang, Zhiqing, et al.
Publicado: (2025)
por: Tang, Zhiqing, et al.
Publicado: (2025)
Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
por: Zhang, Yao, et al.
Publicado: (2025)
por: Zhang, Yao, et al.
Publicado: (2025)
FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts
por: Zilic, Josip, et al.
Publicado: (2024)
por: Zilic, Josip, et al.
Publicado: (2024)
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions
por: Jayanetti, Amanda, et al.
Publicado: (2024)
por: Jayanetti, Amanda, et al.
Publicado: (2024)
Ejemplares similares
-
Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching
por: Peng, Haosong, et al.
Publicado: (2024) -
Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework
por: Peng, Haosong, et al.
Publicado: (2024) -
LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing
por: Guo, Hao, et al.
Publicado: (2026) -
A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
por: Mukherjee, Anwesha, et al.
Publicado: (2024) -
A Survey of Computation Offloading with Task Types
por: Zhang, Siqi, et al.
Publicado: (2023)