Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review

P Kansal, M Kumar, OP Verma - The Journal of Supercomputing, 2022 - Springer
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

Service caching based aerial cooperative computing and resource allocation in multi-uav enabled mec systems

G Zheng, C Xu, M Wen, X Zhao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Service caching refers to caching the necessary programs or/and the related databases for
performing computational tasks at edge servers, which has been considered to save both …

[HTML][HTML] Multi-Access Edge Computing (MEC) Based on MIMO: A Survey

M Zhu, S Gao, G Tu, D Chen - Sensors, 2023 - mdpi.com
With the rapid development of wireless communication technology and the emergence of
intelligent applications, higher requirements have been put forward for data communication …

Computation Offloading and Service Caching for Intelligent Transportation Systems With Digital Twin

X Xu, Z Liu, M Bilal, S Vimal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …

Computing power network: A survey

Y Sun, J Liu, H Huang, X Zhang, B Lei, J Peng… - arXiv preprint arXiv …, 2022 - arxiv.org
With the rapid development of cloud computing, edge computing, and smart devices,
computing power resources indicate a trend of ubiquitous deployment. The traditional …

Latency-aware service migration with decision theory for Internet of Vehicles in mobile edge computing

Z Liu, X Xu - Wireless Networks, 2022 - Springer
Abstract In the Internet of Vehicles driven by mobile edge computing, the service requests
are offloaded to the roadside units (RSUs) via wireless network, reducing the service latency …

A Particle Swarm Optimization With Lévy Flight for Service Caching and Task Offloading in Edge-Cloud Computing

T Gao, Q Tang, J Li, Y Zhang, Y Li, J Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Edge-cloud computing is an efficient approach to address the high latency issue in mobile
cloud computing for service provisioning, by placing several computing resources close to …

Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning

D Wang, Y Bai, G Huang, B Song… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the growing demand for latency-sensitive and compute-intensive services in the
Internet of Things (IoT), multi-access edge computing (MEC)-enabled IoT is envisioned as a …

Joint Service Caching and Computation Offloading Scheme Based on Deep Reinforcement Learning in Vehicular Edge Computing Systems

Z Xue, C Liu, C Liao, G Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …

Cost minimization-oriented computation offloading and service caching in mobile cloud-edge computing: An A3C-based approach

H Zhou, Z Wang, H Zheng, S He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …