Edge AI for Internet of Medical Things: A literature review
Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …
and monitoring devices that collect data to provide autonomous decision-making and smart …
[HTML][HTML] Enabling edge-driven dataspace integration through convergence of distributed technologies
Dataspace and emerging technologies play a key role in developing value chain systems
using cross-domain data, services and systems integration. Therefore, this study has …
using cross-domain data, services and systems integration. Therefore, this study has …
RPIFL: Reliable and Privacy-Preserving Federated Learning for the Internet of Things
Abstract Federated Learning for the Internet of Things (FL for IoT) contributes to the
enhancement of security in smart cities. However, the privacy disclosure attacks within the …
enhancement of security in smart cities. However, the privacy disclosure attacks within the …
An in-depth survey on virtualization technologies in 6g integrated terrestrial and non-terrestrial networks
6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …
An online service provisioning strategy for container-based cloud brokers
X Li, L Pan, S Liu - Journal of Network and Computer Applications, 2023 - Elsevier
Container-based cloud brokers sit between multiple cloud providers and users, renting
virtual machines (VMs) from multiple cloud providers, provisioning services to users, and …
virtual machines (VMs) from multiple cloud providers, provisioning services to users, and …
Machine learning methods for service placement: a systematic review
P Keshavarz Haddadha, MH Rezvani… - Artificial Intelligence …, 2024 - Springer
With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …
(IoE), service placement cannot rely on cloud computing alone. In response to this need …
Radio optical network security analysis with routing in quantum computing for 5G wireless communication using blockchain machine learning model
F Wang, S Liao, Y Yin, R Ni, Y Zhang - Optical and Quantum Electronics, 2023 - Springer
Rapid growth is also being seen in the deployment of optical network equipment and the
development of new network services for next-generation networks beyond 5G and 6G …
development of new network services for next-generation networks beyond 5G and 6G …
[HTML][HTML] Machine learning-driven ubiquitous mobile edge computing as a solution to network challenges in next-generation iot
M Al Moteri, SB Khan, M Alojail - Systems, 2023 - mdpi.com
Ubiquitous mobile edge computing (MEC) using the internet of things (IoT) is a promising
technology for providing low-latency and high-throughput services to end-users. Resource …
technology for providing low-latency and high-throughput services to end-users. Resource …
PMP: A partition-match parallel mechanism for DNN inference acceleration in cloud–edge collaborative environments
To address the challenges of delay-sensitive deep learning tasks, Deep Neural Network
(DNN) models are often partitioned and deployed to the cloud–edge environment for …
(DNN) models are often partitioned and deployed to the cloud–edge environment for …
[HTML][HTML] Machine learning-powered traffic processing in commodity hardware with eBPF
J Gallego-Madrid, I Bru-Santa, A Ruiz-Rodenas… - Computer Networks, 2024 - Elsevier
Network softwarization is paving the way for the design and development of Next-
Generation Networks (NGNs), which are demanding profound improvements to existing …
Generation Networks (NGNs), which are demanding profound improvements to existing …