Copertina

A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Jianqiu, Yu, Zhongyi, Guo, Jianxiong, Tang, Zhiqing, Wang, Tian, Jia, Weijia
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Distributed, Parallel, and Cluster Computing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
di: Tang, Zhiqing, et al.
Pubblicazione: (2025)

Low-Latency Layer-Aware Proactive and Passive Container Migration in Meta Computing
di: Liu, Mengjie, et al.
Pubblicazione: (2024)

Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing
di: Gao, Chuanchao, et al.
Pubblicazione: (2025)

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning
di: Xu, Zhifei, et al.
Pubblicazione: (2025)

LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing
di: Guo, Hao, et al.
Pubblicazione: (2026)

Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
di: Peng, Haosong, et al.
Pubblicazione: (2024)

A Survey of Computation Offloading with Task Types
di: Zhang, Siqi, et al.
Pubblicazione: (2023)

FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts
di: Zilic, Josip, et al.
Pubblicazione: (2024)

Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing
di: Boing, Ricardo N., et al.
Pubblicazione: (2022)

Energy Efficient Offloading Policies in Multi-Access Edge Computing Systems with Task Handover
di: Hou, Ling, et al.
Pubblicazione: (2023)

Workload Distribution with Rateless Encoding: A Low-Latency Computation Offloading Method within Edge Networks
di: Guo, Zhongfu, et al.
Pubblicazione: (2023)

Neuro-Inspired Task Offloading in Edge-IoT Networks Using Spiking Neural Networks
di: Rossi, Fabio Diniz
Pubblicazione: (2025)

Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
di: Ma, Ke, et al.
Pubblicazione: (2025)

A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
di: Wang, Xin, et al.
Pubblicazione: (2025)

Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading
di: Peng, Shifeng, et al.
Pubblicazione: (2024)

Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks
di: Xiaoyang, Ting, et al.
Pubblicazione: (2024)

Preemption Aware Task Scheduling for Priority and Deadline Constrained DNN Inference Task Offloading in Homogeneous Mobile-Edge Networks
di: Cotter, Jamie, et al.
Pubblicazione: (2025)

To Offload or Not To Offload: Model-driven Comparison of Edge-native and On-device Processing In the Era of Accelerators
di: Ng, Nathan, et al.
Pubblicazione: (2025)

A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
di: Mukherjee, Anwesha, et al.
Pubblicazione: (2024)

Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks
di: Wang, Zhen, et al.
Pubblicazione: (2025)

Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
di: Ma, Ke, et al.
Pubblicazione: (2024)

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference
di: Lin, Shouxu, et al.
Pubblicazione: (2026)

Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse
di: Aliyu, Ibrahim, et al.
Pubblicazione: (2026)

Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM
di: Zhang, Yao, et al.
Pubblicazione: (2025)

AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems
di: Wang, Lehao, et al.
Pubblicazione: (2024)

Improved Methods of Task Assignment and Resource Allocation with Preemption in Edge Computing Systems
di: Rublein, Caroline, et al.
Pubblicazione: (2024)

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

Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach
di: Huang, Yaorong, et al.
Pubblicazione: (2026)

Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions
di: Moghaddasi, Komeil, et al.
Pubblicazione: (2024)

Algorithmics and Complexity of Cost-Driven Task Offloading with Submodular Optimization in Edge-Cloud Environments
di: Guo, Longkun, et al.
Pubblicazione: (2024)

OffloadFS: Leveraging Disaggregated Storage for Computation Offloading
di: Moon, Sungho, et al.
Pubblicazione: (2026)

HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference
di: Tang, Peng, et al.
Pubblicazione: (2024)

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

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge
di: Wu, Yebo, et al.
Pubblicazione: (2026)

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning
di: Liaw, Yong-Cheng, et al.
Pubblicazione: (2025)

Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems
di: Barceló, Alex, et al.
Pubblicazione: (2025)

EdgeFaaS: A Function-based Framework for Edge Computing
di: Jin, Runyu, et al.
Pubblicazione: (2022)

Collaborative Inference for Large Models with Task Offloading and Early Exiting
di: Xie, Zuan, et al.
Pubblicazione: (2024)

SLO-Aware Task Offloading within Collaborative Vehicle Platoons
di: Sedlak, Boris, et al.
Pubblicazione: (2024)