Video data offloading techniques in Mobile Edge Computing: A survey

H Ma, B Ji, H Wu, L Xing - Physical Communication, 2023 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …

Modeling Digital Twins of Kubernetes-Based Applications

D Borsatti, W Cerroni, L Foschini… - … IEEE Symposium on …, 2023 - ieeexplore.ieee.org
Kubernetes provides several functions that can help service providers to deal with the
management of complex container-based applications. However, most of these functions …

Incentive-Aware Partitioning and Offloading Scheme for Inference Services in Edge Computing

TY Kim, CK Kim, S Lee, SK Lee - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Owing to remarkable improvements in deep neural networks (DNNs), various computation-
intensive and delay-sensitive DNN services have been developed for smart IoT devices …

基于边缘计算的多摄像头视频协同分析方法

期治博, 杜磊, 霍如, 杨帆, 黄韬 - 通信学报, 2023 - infocomm-journal.com
为了减少智慧城市场景下多摄像头实时视频数据的处理量, 提出了基于机器学习算法的边缘端
视频协同分析方法. 首先, 针对各摄像头检测到的重要目标物体, 设计了不同的关键窗口来筛选 …

Joint Optimization of Task Offloading and Resource Allocation for Edge Video Analytics

Z Xu, Y Xie, F Dong, S Fu, J Hao - 2023 26th International …, 2023 - ieeexplore.ieee.org
With the development of artificial intelligence technology and intelligent devices, people
show great interest in intelligent applications and services, but it is impossible to complete …