Joint optimization of dnn partition and continuous task scheduling for digital twin-aided mec network with deep reinforcement learning

S Yuan, Z Zhang, Q Li, W Li, Y Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, mobile application services face the challenges of high speed, low latency and
high reliability. The combination of digital twin (DT) technology and mobile edge computing …

Learning-Based Edge-Device Collaborative DNN Inference in IoVT Networks

X Xu, K Yan, S Han, B Wang, X Tao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Deep Neural Network (DNN) is a promising technology for Internet of Visual Things (IoVT)
devices to extract their visual information from unstructured data. However, it is hard to …

Distributed DNN Inference with Fine-grained Model Partitioning in Mobile Edge Computing Networks

H Li, X Li, Q Fan, Q He, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Model partitioning is a promising technique for improving the efficiency of distributed
inference by executing partial deep neural network (DNN) models on edge servers (ESs) or …

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 …

Failure Analysis in Next-Generation Critical Cellular Communication Infrastructures

S Bi, X Yuan, S Hu, K Li, W Ni, E Hossain… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

Joint Optimization of Training Job Placement and SFC Orchestration for ML Services in ZTN

X Shang, D Gao, D Yang… - 2023 IEEE Globecom …, 2023 - ieeexplore.ieee.org
Machine learning (ML) services are vital to providing timely intelligent decision-making
capabilities in Zero-touch Net-work (ZTN). However, such a service relies on efficient …