Cargando…

Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks

This paper studies mobile edge computing (MEC) networks where multiple wireless devices (WDs) offload their computation tasks to multiple edge servers and one cloud server. Considering different real-time computation tasks at different WDs, every task is decided to be processed locally at its WD or...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Liang, Feng, Xu, Zhang, Luxin, Qian, Liping, Wu, Yuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470783/ https://www.ncbi.nlm.nih.gov/pubmed/30909657 http://dx.doi.org/10.3390/s19061446

Ejemplares similares

Computation Offloading and User-Clustering Game in Multi-Channel Cellular Networks for Mobile Edge Computing
por: Huang, Yan-Yun, et al.
Publicado: (2023)

Multi-Objective Whale Optimization Algorithm for Computation Offloading Optimization in Mobile Edge Computing
por: Huang, Mengxing, et al.
Publicado: (2021)

Mobility-Aware Offloading Decision for Multi-Access Edge Computing in 5G Networks
por: Jahandar, Saeid, et al.
Publicado: (2022)

Deep Learning-Based Dynamic Computation Task Offloading for Mobile Edge Computing Networks
por: Yang, Shicheng, et al.
Publicado: (2022)

Energy-Aware and Secure Task Offloading for Multi-Tier Edge-Cloud Computing Systems
por: Alharbi, Hatem A., et al.
Publicado: (2023)

Task Offloading Strategy Based on Mobile Edge Computing in UAV Network
por: Qi, Wei, et al.
Publicado: (2022)

Multi-user multi-objective computation offloading for medical image diagnosis
por: Liu, Qi, et al.
Publicado: (2023)

Multi-Task Offloading Based on Optimal Stopping Theory in Edge Computing Empowered Internet of Vehicles
por: Mu, Liting, et al.
Publicado: (2022)

Collaborative Task Offloading and Service Caching Strategy for Mobile Edge Computing
por: Liu, Xiang, et al.
Publicado: (2022)

Self-Adaptive Learning of Task Offloading in Mobile Edge Computing Systems
por: Huang, Peng, et al.
Publicado: (2021)

Optimal Computational Power Allocation in Multi-Access Mobile Edge Computing for Blockchain
por: Wu, Yuan, et al.
Publicado: (2018)

An Efficient Computation Offloading Strategy with Mobile Edge Computing for IoT
por: Fang, Juan, et al.
Publicado: (2021)

A Secure Multi-Tier Mobile Edge Computing Model for Data Processing Offloading Based on Degree of Trust
por: Mora-Gimeno, Francisco José, et al.
Publicado: (2018)

Computation Offloading Game for Multi-Channel Wireless Sensor Networks
por: Hu, Heng-Cheng, et al.
Publicado: (2022)

A multi-stage heuristic method for service caching and task offloading to improve the cooperation between edge and cloud computing
por: Chen, Xiaoqian, et al.
Publicado: (2022)

Task Offloading and Resource Allocation Strategy Based on Deep Learning for Mobile Edge Computing
por: Yu, Zijia, et al.
Publicado: (2022)

Mobile Edge Computing Task Offloading Strategy Based on Parking Cooperation in the Internet of Vehicles
por: Shen, Xianhao, et al.
Publicado: (2022)

Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing
por: Chen, Jun, et al.
Publicado: (2022)

Optimal Resource Provisioning and Task Offloading for Network-Aware and Federated Edge Computing
por: Nugroho, Avilia Kusumaputeri, et al.
Publicado: (2023)

An On-Orbit Task-Offloading Strategy Based on Satellite Edge Computing
por: Hu, Yifei, et al.
Publicado: (2023)

A Multi-Classifiers Based Algorithm for Energy Efficient Tasks Offloading in Fog Computing
por: Alasmari, Moteb K., et al.
Publicado: (2023)

A Parallelizable Task Offloading Model with Trajectory-Prediction for Mobile Edge Networks
por: Han, Pu, et al.
Publicado: (2022)

Data Offloading in UAV-Assisted Multi-Access Edge Computing Systems: A Resource-Based Pricing and User Risk-Awareness Approach
por: Mitsis, Giorgos, et al.
Publicado: (2020)

Joint Optimization for Task Offloading in Edge Computing: An Evolutionary Game Approach
por: Dong, Chongwu, et al.
Publicado: (2019)

Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing
por: Yan, Ruibin, et al.
Publicado: (2023)

Energy-Efficient Collaborative Task Computation Offloading in Cloud-Assisted Edge Computing for IoT Sensors
por: Liu, Fagui, et al.
Publicado: (2019)

Energy-Efficient Online Resource Management and Allocation Optimization in Multi-User Multi-Task Mobile-Edge Computing Systems with Hybrid Energy Harvesting
por: Zhang, Heng, et al.
Publicado: (2018)

Research on Multi-Terminal’s AC Offloading Scheme and Multi-Server’s AC Selection Scheme in IoT
por: Liu, Jiemei, et al.
Publicado: (2022)

Risk-Aware Distributionally Robust Optimization for Mobile Edge Computation Task Offloading in the Space–Air–Ground Integrated Network
por: Li, Zhiyuan, et al.
Publicado: (2023)

Optimal Offloading Decision Strategies and Their Influence Analysis of Mobile Edge Computing
por: Xu, Jiuyun, et al.
Publicado: (2019)

Energy-Optimal Latency-Constrained Application Offloading in Mobile-Edge Computing
por: Gu, Xiaohui, et al.
Publicado: (2020)

Energy-Aware Computation Offloading of IoT Sensors in Cloudlet-Based Mobile Edge Computing
por: Ma, Xiao, et al.
Publicado: (2018)

Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing
por: Wu, Jianbin, et al.
Publicado: (2022)

Dynamic Resource Allocation and Computation Offloading for Edge Computing System
por: Chang, Zheng, et al.
Publicado: (2020)

Towards Application-Driven Task Offloading in Edge Computing Based on Deep Reinforcement Learning
por: Sun, Ming, et al.
Publicado: (2021)

Computation Offloading in UAV-Enabled Edge Computing: A Stackelberg Game Approach
por: Yuan, Xinwang, et al.
Publicado: (2022)

Prioritization Based Task Offloading in UAV-Assisted Edge Networks †
por: Kalinagac, Onur, et al.
Publicado: (2023)

Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications
por: Nguyen, VanDung, et al.
Publicado: (2020)

Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
por: Moon, Sungwon, et al.
Publicado: (2022)

ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks
por: Ismail, Leila, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_kmtg6qoj2ofb4k4n8mg8rh1bvn