A survey of state-of-the-art on edge computing: Theoretical models, technologies, directions, and development paths
B Liu, Z Luo, H Chen, C Li - IEEE Access, 2022 - ieeexplore.ieee.org
In order to describe the roadmap of current edge computing research activities, we first
address a brief overview of the most advanced edge computing surveys published in the last …
address a brief overview of the most advanced edge computing surveys published in the last …
Reliability-aware task processing and offloading for data-intensive applications in edge computing
With the growing popularity of mobile edge computing (MEC), a number of data-intensive
applications have been deployed. Quality of Service (QoS), as one of the most important …
applications have been deployed. Quality of Service (QoS), as one of the most important …
On the use of intelligent models towards meeting the challenges of the edge mesh
Nowadays, we are witnessing the advent of the Internet of Things (IoT) with numerous
devices performing interactions between them or with their environment. The huge number …
devices performing interactions between them or with their environment. The huge number …
Joint Task Offloading and Resource Allocation Strategy for Hybrid MEC-Enabled LEO Satellite Networks: A Hierarchical Game Approach
P Li, Y Wang, Z Wang, T Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The multi-access edge computing (MEC)-enabled low Earth orbit (LEO) satellite network is a
promising approach to meet the growing ubiquitous diverse computation demands around …
promising approach to meet the growing ubiquitous diverse computation demands around …
Energy-efficient data compression and resource allocation for edge assisted IoT networks
W Jiang, Z Teng, M Li, LP Qian - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
Data compression has the potential to reduce energy consumption for data transmission.
However, the optimal data compression ratio is in conjunction with the decision of resources …
However, the optimal data compression ratio is in conjunction with the decision of resources …
On the Performance of Clustered Fog Radio Access Networks With Data Compression
The fog-radio-access-network (F-RAN) has been proposed to address the strict latency
requirements, which offloads computation tasks generated in the user equipment (UE) to the …
requirements, which offloads computation tasks generated in the user equipment (UE) to the …
On the performance of data compression in clustered fog radio access networks
The fog-radio-access-network (F-RAN) has been proposed to address the strict latency
requirements, which offloads computation tasks generated in user equipments (UEs) to the …
requirements, which offloads computation tasks generated in user equipments (UEs) to the …
Task Offloading and Resource Allocation for Edge-Cloud Collaborative Computing
Y Wang, J Hao, G Xu, B Huang, F Zhang - International Conference on …, 2023 - Springer
Current research mainly focuses on two-tier cloud networks with edge clouds and users. The
computational power relocation and resource allocation problem is relatively under …
computational power relocation and resource allocation problem is relatively under …
Interference-Aware Task Allocation with QoS Guarantee on Edge
W Liu, Z Yu, G Wang, X Liu - 2022 IEEE Smartworld, Ubiquitous …, 2022 - ieeexplore.ieee.org
The edge computing has emerged as a significant paradigm in which the cloud computing
jobs (workloads, tasks) are moved to edge devices to improve the quality of services (QoS) …
jobs (workloads, tasks) are moved to edge devices to improve the quality of services (QoS) …
On the Road from Edge Computing to the Edge Mesh
Nowadays, we are witnessing the advent of the Internet of Things (EC) with numerous
devices performing interactions between them or with end users. The huge number of …
devices performing interactions between them or with end users. The huge number of …