Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

A comprehensive survey on collaborative data-access enablers in the IIoT

D Sun, J Hu, H Wu, J Wu, J Yang, QZ Sheng… - ACM Computing …, 2023 - dl.acm.org
The scope of the Industrial Internet of Things (IIoT) has stretched beyond manufacturing to
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …

Metaheuristic optimization-based resource allocation technique for cybertwin-driven 6G on IoE environment

DK Jain, SKS Tyagi, S Neelakandan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Rapid advancements of sixth-generation (6G) network and Internet of Everything (IoE)
supports numerous emerging services and application. Increasing mobile internet traffic and …

Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hop** satellite systems

Z Lin, Z Ni, L Kuang, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the non-uniform geographic distribution and time-varying characteristics of the
ground traffic request, how to make full use of the limited beam resources to serve users …

TCDA: Truthful combinatorial double auctions for mobile edge computing in industrial Internet of Things

L Ma, X Wang, X Wang, L Wang, Y Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive
computing services for industrial Internet of Things (IIoT) applications. How to guarantee …

Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions

G Zhou, W Tian, R Buyya, R Xue, L Song - Artificial Intelligence Review, 2024 - Springer
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

Applications of auction and mechanism design in edge computing: A survey

H Qiu, K Zhu, NC Luong, C Yi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …

Possible applications of edge computing in the manufacturing industry—systematic literature review

K Kubiak, G Dec, D Stadnicka - Sensors, 2022 - mdpi.com
This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …

Reinforcement learning-empowered mobile edge computing for 6G edge intelligence

P Wei, K Guo, Y Li, J Wang, W Feng, S **, N Ge… - Ieee …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …

AuctionWhisk: Using an auction‐inspired approach for function placement in serverless fog platforms

D Bermbach, J Bader, J Hasenburg… - Software: Practice …, 2022 - Wiley Online Library
Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …