Review on the application of cloud computing in the sports industry

L Xiao, Y Cao, Y Gai, J Liu, P Zhong… - Journal of Cloud …, 2023 - Springer
The transformative impact of cloud computing has permeated various industries, reshaping
traditional business models and accelerating digital transformations. In the sports industry …

A cloud‐edge service offloading method for the metaverse in smart manufacturing

H Xiang, X Zhang, M Bilal - Software: Practice and Experience, 2023 - Wiley Online Library
With the development of artificial intelligence, cloud‐edge computing and virtual reality, the
industrial design that originally depends on human imagination and computing power can …

Cloud-SMPC: two-round multilinear maps secure multiparty computation based on LWE assumption

Y Luo, Y Chen, T Li, C Tan, H Dou - Journal of Cloud Computing, 2024 - Springer
Cloud computing has data leakage from all parties, security protection of private data, and
existing solutions do not provide a trade-off between security and overhead. With distributed …

Evaluating test quality of Python libraries for IoT applications at the network edge

Z Chen, C Jia, L Chen - Wireless Networks, 2023 - Springer
Abstract The Internet of Things (IoT) frequently exchange data through the Internet by
comprising a complex network of smart devices. However, various vulnerabilities of IoT …

FEUAGame: Fairness-aware Edge User Allocation for App Vendors

J Zhou, F Chen, G Cui, Y Xiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) offers a new computing paradigm that turns computing and
storage resources to the network edge to provide minimal service latency compared to cloud …

A Parameter Adaptive Method for Image Smoothing

S Wang, X Ma, X Li - Tsinghua Science and Technology, 2024 - ieeexplore.ieee.org
Edge is the key information in the process of image smoothing. Some edges, especially the
weak edges, are difficult to maintain, which result in the local area being over-smoothed. For …

HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning

L Liu, H He, F Qi, Y Zhao, W Xie, F Zhou… - Journal of Cloud …, 2023 - Springer
Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are
widely employed in cloud computing, disaster relief, and various applications. How to …

An elastic framework construction method based on task migration in edge computing

Y Pu, Z Li, J Yu, L Lu, B Guo - Software: Practice and …, 2023 - Wiley Online Library
Edge computing (EC) serves as an effective technology, empowering end‐users to attain
high bandwidth and low latency by offloading tasks with high computational demands from …

RPU-PVB: robust object detection based on a unified metric perspective with bilinear interpolation

H Yang, X Wang, Y Chen, H Dou, Y Zhang - Journal of Cloud Computing, 2023 - Springer
With the development of cloud computing and deep learning, an increasing number of
artificial intelligence models have been applied to reality. Such as videos on cell phones can …

CIM: CP-ABE-based identity management framework for collaborative edge storage

C Li, L Wang, J Li, Y Fei - Peer-to-Peer Networking and Applications, 2024 - Springer
Collaborative edge storage (CES) can provide high-quality data sharing for end users
through the collaborative use of edge storage resources. However, due to the lack of trust …