Copertina

Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ebrahimi, Alireza, Afghah, Fatemeh
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Networking and Internet Architecture Artificial Intelligence Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

A Task Decomposition and Planning Framework for Efficient LLM Inference in AI-Enabled WiFi-Offload Networks
di: Han, Mingqi, et al.
Pubblicazione: (2026)

MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
di: Mahdizadeh, Soheil, et al.
Pubblicazione: (2025)

Edge Offloading in Smart Grid
di: Arcas, Gabriel Ioan, et al.
Pubblicazione: (2024)

Recursive Offloading for LLM Serving in Multi-tier Networks
di: Wu, Zhiyuan, et al.
Pubblicazione: (2025)

Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
di: Gebrekidan, Tesfay Zemuy, et al.
Pubblicazione: (2024)

Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing
di: Aliyu, Ibrahim, et al.
Pubblicazione: (2024)

LIMO: Load-balanced Offloading with MAPE and Particle Swarm Optimization in Mobile Fog Networks
di: Seraj, Yasaman, et al.
Pubblicazione: (2024)

DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
di: Gu, Xueying, et al.
Pubblicazione: (2024)

Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision
di: Naseh, David, et al.
Pubblicazione: (2023)

Oranits: Mission Assignment and Task Offloading in Open RAN-based ITS using Metaheuristic and Deep Reinforcement Learning
di: Nguyen, Ngoc Hung, et al.
Pubblicazione: (2025)

Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
di: Deng, Akuen Akoi, et al.
Pubblicazione: (2026)

A Combined Environmental Monitoring Framework based on WSN Clustering and VANET Edge Computation Offloading
di: Mamalis, Basilis, et al.
Pubblicazione: (2024)

Optimizing Edge Offloading Decisions for Object Detection
di: Qiu, Jiaming, et al.
Pubblicazione: (2024)

Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond
di: Zhang, Peng, et al.
Pubblicazione: (2023)

An Auction-Based Mechanism for Optimal Task Allocation and Resource Aware Containerization
di: kumar, Ramakant
Pubblicazione: (2026)

Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs
di: Zhang, Le, et al.
Pubblicazione: (2025)

SARS: A Resource Selection Algorithm for Autonomous Driving Tasks in Heterogeneous Mobile Edge Computing
di: Zakerian, Reza, et al.
Pubblicazione: (2024)

Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
di: Parra-Ullauri, Juan Marcelo, et al.
Pubblicazione: (2024)

Optimizing Resource Allocation for Geographically-Distributed Inference by Large Language Models
di: Sun, Tingyang, et al.
Pubblicazione: (2025)

Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
di: Ye, Shengyuan, et al.
Pubblicazione: (2025)

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges
di: Chen, Handi, et al.
Pubblicazione: (2024)

When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
di: Liu, Wenshuai, et al.
Pubblicazione: (2024)

Directives for Function Offloading in 5G Networks Based on a Performance Characteristics Analysis
di: Dettinger, Falk, et al.
Pubblicazione: (2025)

FODT: Fast, Online, Distributed and Temporary Failure Recovery Approach for MEC
di: Yuan, Xin, et al.
Pubblicazione: (2023)

High-speed Networking for Giga-Scale AI Factories
di: Khashab, Sajy, et al.
Pubblicazione: (2026)

Enabling Reconfiguration-Communication Overlap for Collective Communication in Optical Networks
di: Wu, Changbo, et al.
Pubblicazione: (2025)

HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
di: Zheng, Peirong, et al.
Pubblicazione: (2026)

Semantic-Aware LLM Orchestration for Proactive Resource Management in Predictive Digital Twin Vehicular Networks
di: Ahmadpanah, Seyed Hossein
Pubblicazione: (2025)

Cluster Topology-Driven Placement of Experts Reduces Network Traffic in MoE Inference
di: Sivtsov, Danil, et al.
Pubblicazione: (2025)

SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks
di: Wang, Zhanwei, et al.
Pubblicazione: (2026)

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
di: Zeng, Liekang, et al.
Pubblicazione: (2024)

A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
di: Chen, Qian, et al.
Pubblicazione: (2024)

A Study on 5G Network Slice Isolation Based on Native Cloud and Edge Computing Tools
di: Andrade, Maiko, et al.
Pubblicazione: (2025)

Surviving the Edge: Federated Learning under Networking and Resource Constraints
di: Mwanje, Mike, et al.
Pubblicazione: (2026)

POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning
di: Shirmarz, Alireza, et al.
Pubblicazione: (2025)

Collective Communication Profiling of Modern-day Machine Learning Workloads
di: Gupta, Jit, et al.
Pubblicazione: (2025)

Optimizing Split Learning Latency in TinyML-Based IoT Systems
di: Jenhani, Zied, et al.
Pubblicazione: (2025)

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
di: Reddy, Tella Rajashekhar, et al.
Pubblicazione: (2025)

Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
di: Morabito, Roberto, et al.
Pubblicazione: (2025)